Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems.

The new edition features:

Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. A new chapter (7) including an introduction to Cronbach’s alpha and factor analysis. Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 . Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 .

IBM SPSS for Introductory Statistics, Fifth Edition

provides helpful teaching tools:

All of the key IBM SPSS windows needed to perform the analyses. Complete outputs with call-out boxes to highlight key points. Flowcharts and tables to help select appropriate statistics and interpret effect sizes. Interpretation sections and questions help students better understand and interpret the output. Assignments organized the way students proceed when they conduct a research project. Examples of how to write about outputs and make tables in APA format. Helpful appendices on how to get started with SPSS and write research questions.

An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.

The new edition features:

• IBM SPSS version 22; although the book can be used with most older and newer versions

• New discusiion of intraclass correlations (Ch. 3)

• Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5)

• New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6)

• New chapter on how to use a variable as a mediator or a moderator (ch. 7)

• Revised chapter on multilevel and hierarchical linear modeling (ch. 12)

• A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data

• Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides.

IBM SPSS for Intermediate Statistics, Fifth Edition

provides helpful teaching tools:

• all of the key SPSS windows needed to perform the analyses

• outputs with call-out boxes to highlight key points

• interpretation sections and questions to help students better understand and interpret the output

• extra problems with realistic data sets for practice using intermediate statistics

• Appendices on how to get started with SPSS, write research questions, and basic statistics.

An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS

This text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to quantitative research methods. Although not a statistics book, students learn to master which technique to use when and how to analyze and interpret results, making them better consumers of research. Organized around the steps of conducting a research project, this book is ideal for those who need to analyze journal articles. With teaching experience in various departments, the authors know how to address the research problems faced by behavioral and social sciences students. Independent sections and chapters can be read in any order allowing for flexibility in assigning topics.

Adopters applaud the book’s clarity and applied interdependent approach to research. The book emphasizes five research approaches:? randomized experimental, quasi-experimental, comparative, associational, and descriptive. These five approaches lead to three kinds of research designs which lead to three groups of statistics with the same names. This consistent framework increases comprehension while avoiding confusion caused by inconsistent terminology. Numerous examples, diagrams, tables, key terms, key distinctions, summaries, applied problems, interpretation questions, and suggested readings further promote understanding.

This extensively revised edition features:

More examples from published research articles to help readers better understand the research process.

New Research in the Real World boxes that highlight actual research projects from various disciplines.

Defined key terms in the margins and interpretation questions that help readers review the material.

More detailed explanations of key concepts including reliability, validity, estimation, ethical and bias concerns, data security and assumptions, power analysis , and multiple and logistic regression.

New sections on mediation and moderation analysis to address the latest techniques.

More coverage of quasi-experimental design and qualitative research to reflect changing practices.

A new appendix on how to write about results using APA guidelines to help new researchers.

Online resources available at www.routledge.com/9781138852976 that provide instructors with PowerPoints, test questions, critical thinking exercises, a conversion guide, and answers to all of the book’s problems and questions. Students will find learning objectives, annotated links to further readings and key concepts, and key terms with links to definitions.

Intended for graduate research methods or design or quantitative/experimental research methods courses in psychology, education, human development, family studies, and other behavioral, social, and health sciences, some exposure to statistics and research methods is recommended.

Through its integrated approach to quantitative research methods, this text teaches readers how to plan, conduct, and write a research project and select and interpret data so they can become better consumers of research. This is not a statistics book—there are very few formulas. Rather, this book helps students master which statistic to use when and how to interpret the results. Organized around the steps one takes in conducting a research project, this book is ideal for applied programs and for those who want to analyze and evaluate research articles. Having taught in a variety of departments, the authors have a good grasp of the research problems faced by master’s and doctoral students in diverse areas of the behavioral and social sciences.

Text adopters applaud the book’s clarity. Students are often confused by other texts’ use of inconsistent terminology. To avoid this confusion, the authors present a semantically consistent picture that emphasizes five research approaches-- randomized experimental, quasi-experimental, comparative, associational, and descriptive. The authors then show how these approaches lead to three kinds of research designs which, in turn, lead to three groups of statistics with the same names. This consistent framework increases comprehension and the ability to apply the material. Numerous applied problems, annotated examples, and diagrams and tables further promote comprehension. Although the book emphasizes quantitative research, the value of qualitative research is introduced.

This extensively revised edition features more than 50% new material including:

A new chapter on the evidence-based approach that emphasizes the importance of reporting confidence intervals and effect sizes and the increased use of meta-analysis.

An increased emphasis on evaluating research including an 8 step plan for evaluating research validity (Chs. 23 & 24) and its application to the 5 sample studies used throughout the book (Ch. 25).

Lots of practical advice on planning a research project (Ch. 2), data collection and coding (Ch. 15), writing the research report (Ch. 27), questions to use in evaluating a research article (Appendix E) and creating APA tables and figures (Appendix F).

A new chapter on non-experimental approaches/designs (Ch. 7) including qualitative research.

Web resources for students including critical thinking problems with answers and a sample outline of a research proposal.

An earlier and expanded introduction to measurement reliability and validity to further emphasize their differences and importance.

An extensively revised chapter on measurement validity consistent with the latest APA/AERA/NCME standards.

Fewer chapters on inferential statistics with an increased focus on how their selection is related to the design of the study and how to interpret the results using significance testing and effect sizes and confidence intervals.

Instructor’s Resources with Power Points, test questions, answers to the application questions, and more.

Intended for graduate research or quantitative/experimental methods/design courses in psychology, education, human development and family studies, and other behavioral, social, business, and health sciences, independent sections and chapters can be read in many orders allowing for flexibility in assigning topics. Due to its practical approach, this book also appeals to researchers and clinicians. Prior exposure to statistics and research methods is recommended.

"Continuities and Discontinuities in Development" was the theme for the Second Biennial DPRG Retreat, a three-day meeting held at Estes Park, Colorado, in June 1982. The meeting was sponsored by the Devel opmental Psychobiology Research Group (DPRG) of the Department of Psychiatry at the University of Colorado School of Medicine. The DPRG is a group of individuals conducting research in many areas of develop ment who meet on a regular basis to present and discuss their work and receive feedback and encouragement. In 1974, this group was awarded an endowment fund by the Grant Foundation, the aims of which were to facilitate the research of young investigators, to encourage new re search, and to provide seed money for collaborative ventures. Much of the work reported in this volume and in the earlier volume from the First DPRG Retreat is the result of that support. In addition to the work of the members of the DPRG, a select group of guests was invited to participate in the meeting and contribute to this volume. The chapters by William Greenough, Jerome Kagan, and Michael Rutter result from the participation of these scholars at the retreat. We would like to acknowledge the support of a number of indi viduals who have been instrumental in supporting the DPRG as a whole, as well as those who contributed directly to the Second Biennial Retreat and to the volume.

The development of self- and emotional regulatory processes helps children to regulate their behavior based on their cultural context and to develop positive social relationships. This handbook brings together heretofore disparate literatures on self- and emotional regulation, brain and physiological processes, mastery motivation, and atypical development to highlight how mastery motivation is related to self-regulation and to clarify the relation between these various processes. Authors from a variety of countries and backgrounds provide an integrated, up-to-date review of the research and the key theoretical models to demonstrate how these processes relate to cultural and individual differences in both typical and atypical development. The renowned editors, all experts in a particular domain of self-regulation, provide section opening chapters that review the literature, provide a perspective that explains the findings, and suggest directions for future research. Although the focus is on quantitative studies, some qualitative findings and research using brain imaging methodologies are included.

Outstanding features include:

Reviews the development of self and emotional regulation from infancy through adolescence.

Contributors from various countries and backgrounds provide an integrative review of the literature to guide the direction of future research.

Features contributions from those who have had a strong impact on self-regulation research.

Reviews research on developmental disorders that have implications for self-regulation.

There are four sections. Section one introduces the development of self- and emotional regulation. This section reviews how self-regulation adapts based on personal and culturally-based goals and how individual differences predispose some to behavior disorders. Socialization influences are examined including a look at when typical regulation processes go awry. Section 2 examines physiological and brain processes as they relate to the development of typical and atypical processes, along with neurocognitive development of performance monitoring and how these processes change over time, cortical activation differences, and behavioral and electrocortical measures of attentional bias. Section 3 reviews the development of self-regulation and mastery motivation including a review of the Dimensions of Mastery Questionnaire (DMQ), cross-national comparisons, and what the DMQ can tell us about self-regulation. The section concludes with a look at the development of self-regulation and mastery motivation in individuals with a developmental disability. Section 4 examines self-regulation in atypical development and evidence-based treatment approaches in children with ADHD, autism, and Down syndrome.

This book is intended for researchers, graduate students, and practitioners in psychology, neuroscience, human development, and education interested in the development of self and emotional regulatory processes.

Beginner's Guide to Ancient Earth Mysteries: Is humanity the first creation of intelligent beings? Do similar human-type species exist throughout the cosmos? If so, have those species mastered technologies only to self-destruct in an unfortunate series of events? The Universe is unbelievably enormous, this is undisputed. It's extremely selfish to think we are the only existing intelligent life. Science and religion are on the verge of discovering the truth. Super ancient societies and their archaeological evidence uncovered to this day is a vault of stored information waiting to be unlocked. All we need to do is find the key. Help us uncover the truth by learning about Ancient Earth Mysteries.

From breaking the law to breaking a promise, how do people lie and how can they be caught?

In this revised edition, Paul Ekman, a renowned expert in emotions research and nonverbal communication, adds a new chapter to present his latest research on his groundbreaking inquiry into lying and the methods for uncovering lies. Ekman has figured out the most important behavioral clues to deceit; he has developed a one-hour self-instructional program that trains people to observe and understand "micro expressions"; and he has done research that identifies the facial expressions that show whether someone is likely to become violent—a self-instructional program to train recognition of these dangerous signals has also been developed.

Telling Lies describes how lies vary in form and how they can differ from other types of misinformation that can reveal untruths. It discusses how a person’s body language, voice, and facial expressions can give away a lie but still fool professional lie hunters?even judges, police officers, drug enforcement agents, and Secret Service agents.

In his classic, bestselling work, the masterful therapist and novelist Irving Yalom describes his sometimes tragic, sometimes inspiring, and always absorbing encounters with patients

In this classic book, master psychotherapist Irvin D. Yalom uncovers the mysteries, frustrations, pathos, and humor at the heart of the therapeutic encounter. With insight and sympathy, Yalom not only gives us a rare and enthralling glimpse into the personal desires and motivations of ten of his patients, but also tells his own story as he struggles to reconcile his all-too-human response with his sensibility as a psychiatrist. Love's Executioner has inspired hundreds of thousands of readers already, and promises to inspire generations of readers to come.

The fourth edition of the Study Guide for Practical Statistics for Educators serves as a user-friendly and accessible way for students to better understand, review, and apply the concepts introduced in its companion textbook, Practical Statistics for Educators (Ravid, 2011). Since the first edition of this study guide came out in 1994, thousands of students in educational statistics courses and their professors have found it to be an excellent guide with clear and easy-to-follow instructions and examples. The study guide allows students to reinforce and test their knowledge of the concepts addressed in each chapter of the textbook. At the end of each chapter, the best answer for each exercise is given, along with an explanation for why the correct answer is better than the other choices. New in this edition are accompanying Excel exercises, so students may perform data analysis with this commonly-used software, using data available on the web-based portal that accompanies the guide.

The human race spends a disproportionate amount of attention, money, and expertise in solving, trying, and reporting homicides, as compared to other social problems. The public avidly consumes accounts of real-life homicide cases, and murder fiction is more popular still. Nevertheless, we have only the most rudimentary scientific understanding of who is likely to kill whom and why. Martin Daly and Margo Wilson apply contemporary evolutionary theory to analysis of human motives and perceptions of self-interest, considering where and why individual interests conflict, using well-documented murder cases.

This book attempts to understand normal social motives in murder as products of the process of evolution by natural selection. They note that the implications for psychology are many and profound, touching on such matters as parental affection and rejection, sibling rivalry, sex differences in interests and inclinations, social comparison and achievement motives, our sense of justice, lifespan developmental changes in attitudes, and the phenomenology of the self.

This is the first volume of its kind to analyze homicides in the light of a theory of interpersonal conflict. Before this study, no one had compared an observed distribution of victim-killer relationships to "expected" distribution, nor asked about the patterns of killer-victim age disparities in familial killings. This evolutionary psychological approach affords a deeper view and understanding of homicidal violence.

In this volume, Matthew L. Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the "close-reading" of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines.

Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice.

The book’s pedagogical program, built on cognitive science principles, reinforces learning:

Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications.

This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for:
· Downloadable data sets
· Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more
· Additional material for data analysis

An ideal tool for students writing research papers across the disciplines, the POCKET GUIDE TO APA STYLE, 4th Edition, offers straightforward explanations, annotated examples, and margin notes designed to help students write properly documented papers in the latest APA style. Thorough and practical, this concise guide is not only less expensive and easier for undergraduates to use than the APA Manual, it also includes additional information about the research-writing process. In this updated edition, students will also find extensive coverage of electronic sources, preparing them to both evaluate and correctly use Internet references in their own research. The 4th Edition incorporates all essential changes reflected in the sixth edition of the Publication Manual of the American Psychological Association (2009).
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

From the moment they step into the classroom, boys begin to struggle. They get expelled from preschool nearly five times more often than girls; in elementary school, they’re diagnosed with learning disorders four times as often. By eighth grade huge numbers are reading below basic level. And by high school, they’re heavily outnumbered in AP classes and, save for the realm of athletics, show indifference to most extra­curricular activities. Perhaps most alarmingly, boys now account for less than 43 percent of those enrolled in college, and the gap widens every semester!

The imbalance in higher education isn’t just a “boy problem,” though. Boys’ decreasing college attendance is bad news for girls, too, because ad­missions officers seeking balanced student bodies pass over girls in favor of boys. The growing gender imbalance in education portends massive shifts for the next generation: how much they make and whom they marry.

Interviewing hundreds of parents, kids, teachers, and experts, award-winning journalist Peg Tyre drills below the eye-catching statistics to examine how the educational system is failing our sons. She explores the convergence of culprits, from the emphasis on high-stress academics in preschool and kindergarten, when most boys just can’t tolerate sitting still, to the outright banning of recess, from the demands of No Child Left Behind, with its rigid emphasis on test-taking, to the boy-unfriendly modern curriculum with its focus on writing about “feelings” and its purging of “high-action” reading material, from the rise of video gaming and schools’ unease with technology to the lack of male teachers as role models.

But this passionate, clearheaded book isn’t an exercise in finger-pointing. Tyre, the mother of two sons, offers notes from the front lines—the testimony of teachers and other school officials who are trying new techniques to motivate boys to learn again, one classroom at a time. The Trouble with Boys gives parents, educators, and anyone concerned about the state of education a manifesto for change—one we must undertake right away lest school be-come, for millions of boys, unalterably a “girl thing.”


From the Hardcover edition.

From daunting to doable in six steps

The process of literature search and composing a formal literature review can be intimidating. But masters and doctoral candidates in Education and related fields have found academic argumentation to be seamlessly intuitive with the six-step process pioneered by this book. This updated third edition features a wealth of all-new content including: A flowchart that graphically illustrates Machi and McEvoy’s process. Reflective Oversight boxes in each chapter, prompting readers to direct metacognitive activities. Links to online guides and resources. Expanded examples illustrating theoretical concepts.

Based on data obtained from nearly 100,000 respondents, here is the ultimate resource for anyone who wants to learn the relationship-tested ways couples can achieve satisfaction and contentment in areas such as communication, sex, affection, and financial cooperation.

What constitutes “normal” behavior among happy couples?  What steps you should take if that “normal” is one you want to strive for?  To help answer those questions, wellness entrepreneur Chrisanna Northrup teamed with two of America’s top sociologists, Yale Ph.D.  Pepper Schwartz and Harvard Ph.D. James Witte, to design a unique interactive survey that would draw feedback from around the world. 

What has resulted is the clearest picture yet of how well couples are communicating, romancing each other, satisfying each other in the bedroom, sharing financial responsibilities, and staying faithful – or not.  Since the Normal Bar survey methodology sorts for age and gender, racial and geographic differences and sexual preferences, the authors are able to reveal , for example, what happens to passion as we grow older, which gender wants what when it comes to sex, the factors that spur marital combat, how kids figure in, how being gay or bisexual turns out to be both different and the same, and –regardless of background -- the tiny habits that drive partners absolutely batty.

The book is dense with revelations, from the unexpected popularity of certain sexual positions, to the average number of times happy – and unhappy -- couples kiss, to the prevalence of lying, to the surprising loyalty most men and women feel for their partner (even when in a deteriorating relationship), to the vivid and idiosyncratic ways individuals of different ages, genders and nationalities describe their “ideal romantic evening.”

Much more than a peek behind the relationship curtain, The Normal Bar offers readers an array of prescriptive tools that will help them establish a “new normal.” Mindful of what keeps couples stuck in ruts, the book’s authors suggest practical and life-changing ways to break cycles of disappointment and frustration.

It’s an uphill climb—but the view from the top makes it all worthwhile.

A dissertation can be challenging, but this informative book helps you overcome the obstacles along the way. Using graphics, checklists, and sample forms, this guide readies you for each step of the process, including selecting the committee, getting acclimated to academic writing, preparing for your oral defense, and publishing your research. New features include:

A chapter on ethical considerations Expanded coverage of digital data collection and the Internet More detailed information on conducting the literature review A discussion of how to develop a theoretical or conceptual framework

A step-by-step guide to conducting a research project or thesis in Education

Designed to be used during the research process, Conducting Educational Research walks readers through each step of a research project or thesis, including developing a research question, performing a literature search, developing a research plan, collecting and analyzing data, drawing conclusions, and sharing the conclusions with others. Throughout the book, Daniel J. Boudah covers all types of research (including experimental, descriptive, qualitative, group designs, and single subject designs) and helps readers link research questions to designs, designs to data sources, and data sources to appropriate analyses.

Key Features

Technology in Research boxes help readers take advantage of related technologies and online resources In Their Own Words sections provide tips and suggestions from students who have completed projects End-of-chapter Your Research Project in Action sections prompt students to apply what they have learned to their current research projectsIn-text learning aids, including chapter-opening outlines and objectives and chapter-ending summaries and discussion questions, help readers master the material

*Shortlisted for the BPS Book Award 2014 in the Textbook Category*

*Winner of the 2014 Distinguished Publication Award (DPA) from the Association for Women in Psychology (AWP)*

Successful Qualitative Research: A Practical Guide for Beginners is an accessible, practical textbook. It sidesteps detailed theoretical discussion in favor of providing a comprehensive overview of strategic tips and skills for starting and completing successful qualitative research.

Uniquely, the authors provide a "patterns framework" to qualitative data analysis in this book, also known as "thematic analysis." The authors walk students through a basic thematic approach, and compare and contrast this with other approaches. This discussion of commonalities, explaining why and when each method should be used, and in the context of looking at patterns, will provide students with complete confidence for their qualitative research journey.

This textbook will be an essential textbook for undergraduates and postgraduates taking a course in qualitative research or using qualitative approaches in a research project.

Electronic Inspection Copy available for instructors here.

In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike.

The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument.

Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

Scientific Writing for Psychology: Lessons in Clarity and Style provides straightforward, hands-on strategies to help psychology students master scientific writing. At the core of this brief and engaging guide are seven class-tested lessons: three devoted to sentences, one to paragraphs, and three to writing research reports. Packed with helpful examples and an abundance of writing wisdom, this book addresses the skills every successful writer needs.

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use of elementary matrix algebra. An appendix on the topic is provided for those who need a review. The author maintains an informal style so as to increase the book's accessibility. Notes at the end of each chapter provide some of the more technical details. The book is not tied to a particular computer program, but special attention is paid to LISREL, EQS, AMOS, and Mx.

New in the fourth edition of Latent Variable Models:
*a data CD that features the correlation and covariance matrices used in the exercises;
*new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and
*reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching.

Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.

First published in 1968, the year of international-student confrontation and revolution, this classic challenges readers to choose which of two roads humankind ought to take: the one, leading to a completely mechanized society with the individual a helpless cog in a machine bent on mass destruction; or the second, being the path of humanism and hope.

Since the development of the first intelligence test in the early 20th century, educational and psychological tests have become important measurement techniques to quantify human behavior. Focusing on this ubiquitous yet fruitful area of research, Statistical Test Theory for the Behavioral Sciences provides both a broad overview and a critical survey of assorted testing theories and models used in psychology, education, and other behavioral science fields.

Following a logical progression from basic concepts to more advanced topics, the book first explains classical test theory, covering true score, measurement error, and reliability. It then presents generalizability theory, which provides a framework to deal with various aspects of test scores. In addition, the authors discuss the concept of validity in testing, offering a strategy for evidence-based validity. In the two chapters devoted to item response theory (IRT), the book explores item response models, such as the Rasch model, and applications, including computerized adaptive testing (CAT). The last chapter looks at some methods used to equate tests.

Equipped with the essential material found in this book, advanced undergraduate and graduate students in the behavioral sciences as well as researchers involved in measurement and testing will gain valuable insight into the research methodologies and statistical data analyses of behavioral testing.

The book that established itself as a standard text and reference work for students seeking to master research methods and procedures in psychology has been updated and revised in this new edition! The Second Edition of The Psychology Research Handbook: A Guide for Graduate Students and Research Assistants once again offers a comprehensive guide for understanding and conquering the entire research process. Editors Frederick T. L. Leong and James T. Austin have assembled a distinguished group of expert researchers who share skill sets accumulated as a result of years of practical exposure to the design, development, implementation, and documentation of research in psychology.

A step-by-step guide to qualitative research in the field of education.

J. Amos Hatch offers a methods book that speaks directly to novice qualitative researchers in the field of education, providing a step-by-step guide to the development of a research project. Written in accessible language, the book emphasizes learning how to do qualitative work. Specific examples from real studies, using real data, and demonstrating real analyses are provided throughout. The book is designed to guide doctoral candidates through the dissertation process, from unpacking assumptions and identifying research questions, through project design, data collection, and analysis, to writing the final draft. Recommendations for writing and publishing qualitative work are included.

In the 1930s C. G. Jung embarked upon a bold investigation into childhood dreams as remembered by adults to better understand their significance to the lives of the dreamers. Jung presented his findings in a four-year seminar series at the Swiss Federal Institute of Technology in Zurich. Children's Dreams marks their first publication in English, and fills a critical gap in Jung's collected works.

Here we witness Jung the clinician more vividly than ever before--and he is witty, impatient, sometimes authoritarian, always wise and intellectually daring, but also a teacher who, though brilliant, could be vulnerable, uncertain, and humbled by life's great mysteries. These seminars represent the most penetrating account of Jung's insights into children's dreams and the psychology of childhood. At the same time they offer the best example of group supervision by Jung, presenting his most detailed and thorough exposition of Jungian dream analysis and providing a picture of how he taught others to interpret dreams. Presented here in an inspired English translation commissioned by the Philemon Foundation, these seminars reveal Jung as an impassioned educator in dialogue with his students and developing the practice of analytical psychology.

An invaluable document of perhaps the most important psychologist of the twentieth century at work, this splendid volume is the fullest representation of Jung's views on the interpretation of children's dreams, and signals a new wave in the publication of Jung's collected works as well as a renaissance in contemporary Jung studies.

The newest addition to the Made Simple series, Psychology Made Simple takes readers on a fascinating journey through the human mind. This balanced overview explores the fundamental theories of the field, from developmental, social, and abnormal psychology to sensation and perception, cognition, and personality. Practical issues such as research methods and professional opportunities are also covered for the career-minded reader. A fast and fun way to learn, Psychology Made Simple is an invaluable introduction to one of the most popular modern sciences.


From the Trade Paperback edition.

This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader’s familiarity with analysis of variance and structural equation modeling (SEM) in introducing LGM techniques. Sample data, syntax, input and output, are provided for EQS, Amos, LISREL, and Mplus on the book’s CD. Throughout the book, the authors present a variety of LGM techniques that are useful for many different research designs, and numerous figures provide helpful diagrams of the examples.

Updated throughout, the second edition features three new chapters—growth modeling with ordered categorical variables, growth mixture modeling, and pooled interrupted time series LGM approaches. Following a new organization, the book now covers the development of the LGM, followed by chapters on multiple-group issues (analyzing growth in multiple populations, accelerated designs, and multi-level longitudinal approaches), and then special topics such as missing data models, LGM power and Monte Carlo estimation, and latent growth interaction models. The model specifications previously included in the appendices are now available on the CD so the reader can more easily adapt the models to their own research.

This practical guide is ideal for a wide range of social and behavioral researchers interested in the measurement of change over time, including social, developmental, organizational, educational, consumer, personality and clinical psychologists, sociologists, and quantitative methodologists, as well as for a text on latent variable growth curve modeling or as a supplement for a course on multivariate statistics. A prerequisite of graduate level statistics is recommended.

Briefer, more affordable, and easier to use than the MLA's own handbook, this popular booklet features current MLA guidelines, a new section on evaluating online sources, and an up-to-date APA appendix. The guide also provides numerous examples, a sample research paper, and helpful hints on such topics as avoiding plagiarism and taking notes.
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In 1915, C. G. Jung and his psychiatrist colleague, Hans Schmid-Guisan, began a correspondence through which they hoped to codify fundamental individual differences of attention and consciousness. Their ambitious dialogue, focused on the opposition of extraversion and introversion, demonstrated the difficulty of reaching a shared awareness of differences even as it introduced concepts that would eventually enable Jung to create his landmark 1921 statement of the theory of psychological types. That theory, the basis of the widely used Myers-Briggs Type Indicator and similar personality assessment tools, continues to inform not only personality psychology but also such diverse fields as marriage and career counseling and human resource management.

This correspondence reveals Jung fielding keen theoretical challenges from one of his most sensitive and perceptive colleagues, and provides a useful historical grounding for all those who work with, or are interested in, Jungian psychology and psychological typology.

While courses in Bible and theology typically require research papers, particularly at the graduate level, very few include training in research. Professors have two options: use valuable class time to teach students as much as they can, or lower their standards with the understanding that students cannot be expected to complete tasks for which they have never been prepared. From Topic to Thesis: A Guide to Theological Research offers a third option. This affordable and accessible tool walks students through the process, focusing on five steps: finding direction, gathering sources, understanding issues, entering discussion and establishing a position. Its goal is to take students directly from a research assignment to a research argument—in other words, from topic to thesis.

Before Julie Callahan came to the house at 9 Highland Road in Glen Cove, New York, she had spent a good part of her young life in mental hospitals, her mental and emotional coherence nearly destroyed by a childhood of sexual abuse. Fred Grasso, a schizophrenic, had lived in a filthy single-room occupancy hotel. At 9 Highland Road they and their housemates were given a decent alternative to lives in institutions or in the streets. It was a place in which some even found the chance to get better.

This perfectly observed and passionately imagined book takes us inside one of the supervised group homes that, in an age of shrinking state budgets and psychotropic drugs, have emerged as the backbone of America's mental health system. As it follows the progress and setbacks of residents, their families, and counselors and notes the embittered resistance their presence initially aroused in the neighborhood, 9 Highland Road succeeds in opening the locked world of mental illness. It does so with an empathy and insight that will change forever the way we understand and act in relation to that world.

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables.

This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.

Analyzing Criminal Minds: Forensic Investigative Science for the 21st Century explores new and emerging approaches to a perennially fascinating subject. Author Don Jacobs looks at 10 tools and products that have revolutionized the discipline, explaining how modern criminal mind analysis incorporates advances in criminal and forensic psychology, forensic neuropsychology, brain imaging, adolescent neurobiology, criminal profiling, and brain fingerprinting, as well as research into the paralimbic brain system and the impact of the "DANE" brain upon adolescent and young adult behavior.

Twenty-three characteristics shared by jailed violent criminals are analyzed and considered in terms of neuropsychology and developmental psychology. The book also probes psychopathy in its various degrees, in children, adolescents, and adults, and explains a controversial but increasingly accepted theory that psychopathy is a "natural" outgrowth of evolution, describing how this "natural" psychopathy can become a condition typified by violent, sadistic, and irreversible personality disorder.

In The Politics of Inquiry, Benjamin Baez and Deron Boyles critique recent trends in education research to argue against the “culture of science.” Using the National Research Council’s 2002 report Scientific Research in Education as a point of departure, they contend that the entire discourse on education science reflects a number of distinct but mutually constitutive political forces or movements that use science and education to shape what we can think, and, thus, what we can become. These forces include the attempts to restrict democracy via scientism; the uses of academic classifications for organizing the world into social groups; the imperatives of the informational society, which seek precision in order to convert the world into “data” for easy governing; and the effects of transnational capitalist exchanges, which convert everything into a cost-benefit analysis, and which make us all complicit in ways we do not fully grasp. Baez and Boyles examine these forces and offer an alternative to the current pushes to make educational inquiry scientific.

This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web.

Highlights include

:

-Illustrative examples using Mplus 7.4 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data.

-Exercises with an answer key allow readers to practice the skills they learn.

-Applications to a variety of disciplines appeal to those in the behavioral, social, political, educational, occupational, business, and health sciences.

-Data files for all the illustrative examples and exercises at www.routledge.com/9781138925151 allow readers to test their understanding of the concepts.

-Point to Remember

boxes aid in reader comprehension or provide in-depth discussions of key statistical or theoretical concepts.

Part 1 introduces basic structural equation modeling (SEM) as well as first- and second-order growth curve modeling. The book opens with the basic concepts from SEM, possible extensions of conventional growth curve models, and the data and measures used throughout the book. The subsequent chapters in part 1 explain the extensions. Chapter 2 introduces conventional modeling of multidimensional panel data, including confirmatory factor analysis (CFA) and growth curve modeling, and its limitations. The logical and theoretical extension of a CFA to a second-order growth curve, known as curve-of-factors model (CFM), are explained in Chapter 3. Chapter 4 illustrates the estimation and interpretation of unconditional and conditional CFMs. Chapter 5 presents the logical and theoretical extension of a parallel process model to a second-order growth curve, known as factor-of-curves model (FCM). Chapter 6 illustrates the estimation and interpretation of unconditional and conditional FCMs. Part 2 reviews growth mixture modeling including unconditional growth mixture modeling (Ch. 7) and conditional growth mixture models (Ch. 8). How to extend second-order growth curves (curve-of-factors and factor-of-curves models) to growth mixture models is highlighted in Chapter 9.

Ideal as a supplement for use in graduate courses on (advanced) structural equation, multilevel, longitudinal, or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) taught in psychology, human development and family studies, business, education, health, and social sciences, this book’s practical approach also appeals to researchers. Prerequisites include a basic knowledge of intermediate statistics and structural equation modeling.

The matrix laboratory interactive computing environment—MATLAB—has brought creativity to research in diverse disciplines, particularly in designing and programming experiments. More commonly used in mathematics and the sciences, it also lends itself to a variety of applications across the field of psychology. For the novice looking to use it in experimental psychology research, though, becoming familiar with MATLAB can be a daunting task.

MATLAB for Psychologists expertly guides readers through the component steps, skills, and operations of the software, with plentiful graphics and examples to match the reader’s comfort level. Using an extended illustration, this concise volume explains the program’s usefulness at any point in an experiment, without the limits imposed by other types of software. And the authors demonstrate the responsiveness of MATLAB to the individual’s research needs, whether the task is programming experiments, creating sensory stimuli, running simulations, or calculating statistics for data analysis.

Key features of the coverage:

Thinking in a matrix way.Handling and plotting data.Guidelines for improved programming, sound, and imaging.Statistical analysis and signal detection theory indexes.The Graphical User Interface.The Psychophysics Toolbox.

MATLAB for Psychologists serves a wide audience of advanced undergraduate and graduate level psychology students, professors, and researchers as well as lab technicians involved in programming psychology experiments.

Stephen Mansfield, the acclaimed New York Times best-selling author, has highlighted the growing popularity of Mormonism—a belief system with cultic roots—and the implications of its critical rise. Mormons are moving into the spotlight in pop culture, politics, sports, and entertainment via presidential candidates like Romney and Huntsman, media personality Glenn Beck, mega-bestselling Twilight author Stephanie Meyer, and The Book of Mormon, the hottest show on Broadway. Mormonism was once a renegade cult at war with the U.S. Army in the 1800s, but it has now emerged as not only the fastest-growing religion, but as a high-impact mainstream cultural influence.

How do you get a fourth-grader excited about history? How do you even begin to persuade high school students that mathematical functions are relevant to their everyday lives? In this volume, practical questions that confront every classroom teacher are addressed using the latest exciting research on cognition, teaching, and learning.

How Students Learn: History, Mathematics, and Science in the Classroom builds on the discoveries detailed in the bestselling How People Learn. Now, these findings are presented in a way that teachers can use immediately, to revitalize their work in the classroom for even greater effectiveness.

Organized for utility, the book explores how the principles of learning can be applied in teaching history, science, and math topics at three levels: elementary, middle, and high school. Leading educators explain in detail how they developed successful curricula and teaching approaches, presenting strategies that serve as models for curriculum development and classroom instruction. Their recounting of personal teaching experiences lends strength and warmth to this volume.

The book explores the importance of balancing students’ knowledge of historical fact against their understanding of concepts, such as change and cause, and their skills in assessing historical accounts. It discusses how to build straightforward science experiments into true understanding of scientific principles. And it shows how to overcome the difficulties in teaching math to generate real insight and reasoning in math students. It also features illustrated suggestions for classroom activities.

How Students Learn offers a highly useful blend of principle and practice. It will be important not only to teachers, administrators, curriculum designers, and teacher educators, but also to parents and the larger community concerned about children’s education.

'Mike Lambert's book is a useful source of information, helping to create and shape your research methods project. The book contains detailed chapters with easy to follow guidelines, tips and suggestions ensuring help at every step of the way from start to finish'
Alexander Miesen, student, Amsterdam University of Applied Sciences

In this basic guide, step-by-step advice is presented in a clear way and chapters take the reader through the entire process, from planning and doing research, to writing it up. Each stage is covered, with detailed help on choosing a topic, drawing up research questions, doing the literature review, choosing and designing research methods, the ethics of doing research, analyzing data, and collating and presenting findings.

Features in the text include:

- explanations of key research terms

- activities (with answers)

- progress sheets

- case studies

Online resources to accompany the book are available at http://www.methodspace.com/groups/MikeLambertABeginnersGuide/

This is an ideal text for undergraduate students undertaking their first ever research project, postgraduates pursuing Masters awards and teachers carrying out action research.

Even in the 18th century, scholars realized it was not possible to know everything worth knowing; sometimes, we have to look it up. Fortunately for Dr. Johnson, he did not have to be familiar with so many sources and so many different techniques for finding information. He did, however, recognize the value of knowing where to find information. What today's Internet-enabled workers have discovered is that we also need to know how to search and how to evaluate what we find. Real World Research Skills, Second Edition, compiles basic advice, techniques, reference information, and resources to help working professionals find accurate information quickly. It is written particularly for those whose work involves tapping into federal government information. The book began as a set of materials for TheCapitol.Net's seminar, "Research Tools and Techniques: Refining Your Online and Offline Searches." It is designed to be used as a complement to that seminar or independently as a desk reference. The first and second chapters cover practical principles of research and online searching, including the general search engines. These sections include checklists and advice that are applicable to many different research tasks and many different databases and search engines. The third, fourth, and fifth chapters present resources for federal legislative, judicial, and executive branch research. The sixth chapter covers starting points for state and international research on the web. The final chapter, "Experts and Insiders," has tips for tapping into that vital Washington information resource: people. In our knowledge economy, more and more people-with a wide range of education and experience-are moving into jobs that require some information-gathering skills. The research training provided at many schools lays a foundation, but often does not prepare us for the varied demands of the working world. This book can help anyone involved in government research by increasing their information literacy, improving their research effectiveness and efficiency. Each chapter has a chapter summary and review questions, making it easy to use in the classroom. Summary Table of Contents - Introduction - Chapter 1 Before You Start Your Research - Chapter 2 Going Beyond Google - Chapter 3 Legislative Branch Research - Chapter 4 Judicial Branch Research - Chapter 5 Executive Branch Research - Chapter 6 State and International Research - Chapter 7 Experts and Insiders - Table of Web Sites - Index For a complete Table of Contents, see RealWorldResearchSkills.com

Educational Research: A Guide to the Process is a different kind of research text. It emphasizes the process of research, that is, what researchers actually do as they go about designing and carrying out their research activities. Rather than passively reading about research operations, it promotes content mastery by using a three-step pedagogical model that involves: a manageable chunk of text, a comprehension or application exercise, and author feedback on the exercise. The text contains approximately 150 of these exercise-feedback units.

The second edition has been thoroughly updated, expanded from 15 to 20 chapters, and reorganized into two parts. Part I covers basic aspects of the research process, provides an example of a student research proposal, and shows how to evaluate a research report. Part II provides a separate chapter for each research methodology, including two chapters on qualitative research. Other noteworthy changes include more annotated studies and more visual illustrations of statistical and research methods.

At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential. Many experts have called for a new approach to science education, based on recent and ongoing research on teaching and learning. In this approach, simulations and games could play a significant role by addressing many goals and mechanisms for learning science: the motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning.

To explore this potential, Learning Science: Computer Games, Simulations, and Education, reviews the available research on learning science through interaction with digital simulations and games. It considers the potential of digital games and simulations to contribute to learning science in schools, in informal out-of-school settings, and everyday life. The book also identifies the areas in which more research and research-based development is needed to fully capitalize on this potential.

Learning Science will guide academic researchers; developers, publishers, and entrepreneurs from the digital simulation and gaming community; and education practitioners and policy makers toward the formation of research and development partnerships that will facilitate rich intellectual collaboration. Industry, government agencies and foundations will play a significant role through start-up and ongoing support to ensure that digital games and simulations will not only excite and entertain, but also motivate and educate.

Conducting Educational Research, Sixth Edition thoroughly addresses the major components of research design and methodology. The text is especially useful for inexperienced student-researchers and doctoral students in the early stages of preparing a dissertation. The early chapters of the text clearly describe the process of selecting a problem, reviewing the literature, constructing a hypothesis, identifying and labeling variables, and constructing operational definitions. The later chapters assist students in refining methodological procedures, analyzing data, and writing the final research report. The clarity of the text and the numerous practical examples help to reinforce important concepts and key ideas, increasing the efficacy of the text for even the most inexperienced student-researchers. Additionally, sample studies are included as models of acceptable published research and serve as a guide against which students may evaluate their own work.

Changes in New Edition
More illustrations, tables, figures, and bulleted lists to enhance understandingMore and simpler explanations of complex process A greater balance between the various approaches to research, ranging from experimental to qualitative, with causal-comparative, survey, and evaluation in-betweenPart I
Expanded to include additional ethical considerations when conducting research. Part II:
Renamed "Carrying out Fundamental Steps of Research"Additional details regarding measurement and observation Expanded discussion of the application of design criteriaPart III:
Renamed "Carrying out Quantitative Research"Additional chapters on experimental research, correlational and causal-comparative research, survey research, and evaluation research.

In 2010, the International Cyberbullying Think Tank was held in order to discuss questions of definition, measurement, and methodologies related to cyberbullying research. The attendees’ goal was to develop a set of guidelines that current and future researchers could use to improve the quality of their research and advance our understanding of cyberbullying and related issues. This book is the product of their meetings, and is the first volume to provide researchers with a clear set of principles to inform their work on cyberbullying. The contributing authors, all participants in the Think Tank, review the existing research and theoretical frameworks of cyberbullying before exploring topics such as questions of methodology, sampling issues, methods employed so far, psychometric issues that must be considered, ethical considerations, and implications for prevention and intervention efforts. Researchers as well as practitioners seeking information to inform their prevention and intervention programs will find this to be a timely and essential resource.

RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, Fifth Edition, helps readers see how interesting and exciting experimental and nonexperimental research can be. Inviting and conversational, the book leads readers through the research process from start to finish. It begins with tips and strategies for generating research ideas, moves to selecting measures and participants, and then offers an examination of research strategy and design. This step-by-step presentation emphasizes the decisions researchers must make at each stage of the process. The authors avoid a cookbook approach by linking terminology with applied concepts; their lecture in a book style makes the text accessible by emphasizing discussion and explanation of topics. Examples and content throughout the book reflect the most current APA guidelines.
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This book brings together in a single volume concrete applications of play therapy by seasoned clinicians from various theoretical perspectives. The goal is to reflect the broad spectrum of approaches that now exist in the field. The major psychopathologies in children present the therapist with different problems and therefore require different approaches. Another guiding belief underlying this volume is that descriptive studies that carefully detail psychotherapy process are among the most useful and practical resources for both students and practicing therapists. This casebook offers step-by-step treatment guidelines for a number of childhood difficulties, including internalizing, externalizing, and post-traumatic disorders. It should be of interest to both students and more advanced practitioners in a variety of mental health disciplines, including social work; psychiatry; clinical, counseling, and school psychology; expressive arts therapy; child-life therapy; and psychiatric nursing.

A Jason Aronson Book

The Handbook of Qualitative Research in Education offers both basic and advanced discussions of data collection, analysis and representation of all the best qualitative methods used in educational research.

Although educators are increasingly interested in art education research, there are few anthologies tackling the subject. Research in Art and Design Education answers this call, summarizing important issues in the field such as non-text based approaches and interdisciplinary work. Contributions from internationally renowned researchers explore a broad range of topics in art education, highlighting particular problems and strengths in the literature. An indispensable and engaging resource, this volume provides a long-awaited aid for students and teachers alike. “Research in Art & Design Education confirms Picasso's claim that artists do not seek, but find; thus capturing the real meaning of art's doing and how in doing art, we learn. From their respective positions, this book's contributors converge in making a strong case for art and design research as a horizon of specificities; as a wide and ever-expanding ground of autonomous plurality; and as a discipline that is neither restricted to the empire of fact and measure, nor to generalist platitudes. Under Richard Hickman's careful editorship, this book boldly makes the case that research in art and design education is not a subject-in-waiting and less so an affair restricted to arcane practices. Rather, it is a discipline invested in the exciting prospects of art's humanity and the design by which humans work together for a better world.”—John Baldacchino, Columbia University

Directed Energy Weapons is nothing new to mankind, historically the origination of such weapons falls in centuries ago when first time the famous Greek mathematician, physicist, engineer, inventor, and astronomer Archimedes of Syracuse used different mirrors to collect sunbeams and focusing them on Romans fleet in order to destroy enemy ships with fire. This is known as the Archimedes Heat Ray. Archimedes may have used mirrors acting collectively as a parabolic reflector to burn ships attacking Syracuse. The device was used to focus sunlight onto approaching ships, causing them to catch fire. Of course the myth or reality of Archimedes Heat Ray still is a questionable story, but certain experiments with the help of a group of students from Massachusetts Institute of Technology was carried out with 127 one-foot (30 cm) square mirror tiles in October of 2005 that was focused on a mock-up wooden ship at a range of around 100 feet (30 m). The flames broke out on a patch of the ship, but only after the sky had been cloudless and the ship had remained stationary for around ten minutes. It was concluded the device was a feasible weapon under these conditions.

This title looks at the research processes involved in conducting methods including participant observation, fuzzy set social science, system dynamics, decision systems analysis, forced metaphor elicitation technique, and more.

Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.

More than an estimated 90 million adults in the United States lack the literacy skills needed for fully productive and secure lives. The effects of this shortfall are many: Adults with low literacy have lower rates of participation in the labor force and lower earnings when they do have jobs, for example. They are less able to understand and use health information. And they are less likely to read to their children, which may slow their children's own literacy development.

At the request of the U.S. Department of Education, the National Research Council convened a committee of experts from many disciplines to synthesize research on literacy and learning in order to improve instruction for those served in adult education in the U.S. The committee's report, Improving Adult Literacy Instruction: Options for Practice and Research, recommends a program of research and innovation to gain a better understanding of adult literacy learners, improve instruction, and create the supports adults need for learning and achievement.

Improving Adult Literacy Instruction: Developing Reading and Writing, which is based on the report, presents an overview of what is known about how literacy develops the component skills of reading and writing, and the practices that are effective for developing them. It also describes principles of reading and writing instruction that can guide those who design and administer programs or courses to improve adult literacy skills. Although this is not intended as a "how to" manual for instructors, teachers may also find the information presented here to be helpful as they plan and deliver instruction.

Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included.

The new edition features:

New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. Much more on computing confidence intervals and conducting power analyses using G*Power. All new SPSS version 19 screenshots to help navigate through the program and annotated output to assist in the interpretation of results. Sections on how to write-up statistical results in APA format and new templates for writing research questions. New learning tools including chapter-opening vignettes, outlines, a list of key concepts, "Stop and Think" boxes, and many more examples, tables, and figures. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website with Power Points, answers to the even-numbered problems, detailed solutions to the odd-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets.

Each chapter begins with an outline, a list of key concepts, and a research vignette related to the concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides tips for how to run SPSS and develop an APA style write-up. Tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter includes computational, conceptual, and interpretive problems. Answers to the odd-numbered problems are provided. The SPSS data sets that correspond to the book’s examples and problems are available on the web.?

The book covers basic and advanced analysis of variance models and topics not dealt with in other texts such as robust methods, multiple comparison and non-parametric procedures, and multiple and logistic regression models. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Knowledge of introductory statistics is assumed.

Video Research in the Learning Sciences is a comprehensive exploration of key theoretical, methodological, and technological advances concerning uses of digital video-as-data in the learning sciences as a way of knowing about learning, teaching, and educational processes. The aim of the contributors, a community of scholars using video in their own work, is to help usher in video scholarship and supportive technologies, and to mentor video scholars, so that video research will meet its maximum potential to contribute to the growing knowledge base about teaching and learning.

This volume contributes deeply to both to the science of learning through in-depth video studies of human interaction in learning environments—whether classrooms or other contexts—and to the uses of video for creating descriptive, explanatory, or expository accounts of learning and teaching. It is designed around four themes—each with a cornerstone chapter that introduces and synthesizes the cluster of chapters related to it:

Theoretical frameworks for video research; Video research on peer, family, and informal learning; Video research on classroom and teacher learning; and Video collaboratories and technological futures.

Video Research in the Learning Sciences is intended for researchers, university faculty, teacher educators, and graduate students in education, and for anyone interested in how knowledge is expanded using video-based technologies for inquiries about learning and teaching.

Visit the Web site affiliated with this book: www.videoresearch.org