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 Editionprovides 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.
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 Editionprovides 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
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.
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.
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.
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 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.
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.
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.
· Downloadable data sets
· Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more
· Additional material for data analysis
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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.
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.
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.
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
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 FeaturesTechnology 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
*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.
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.
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.
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.
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.
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.
From the Trade Paperback edition.
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.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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.
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.
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.
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.
-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 Rememberboxes 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.
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.
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 studentsâ€™ 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 childrenâ€™s education.
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.
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.
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.
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.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
A Jason Aronson Book
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.
The new edition features:
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.
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