First published in 1989, this New York Times bestselling collection of ten tales has become a classic. Yalom not only gives us a rare and enthralling glimpse into his patients' personal desires and motivations, but also tells his own story as he struggles to reconcile his all-too-human response with his sensibility as a psychiatrist. Now with a new afterword, Love's Exectioner promises to inspire generations of readers to come.
The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .
Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
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
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.
*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.
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.
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.
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.
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
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
The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook.
New features in the sixth edition include:
"Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes.
Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis.
A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print.
Discussion of contemporary issues and debates, including recent coverage of journals’ reluctance to publish replication of studies.
Fully updated online links, offering even more information and useful resources, especially for statistics.
Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website (www.routledge.com/cw/coolican) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.
The book is divided into two sections. Section One, "Issues and Approaches in Teaching Introductory Psychology," contains 52 articles on critical issues, such as: how to approach the course; understanding students' interests, perceptions, and motives; students' existing knowledge of psychology (including their misconceptions); a comparison of introductory textbooks and tips on how to evaluate them; test questions and student factors affecting exam performance; an overview of different forms of feedback; giving extra credit; and how to deal with academic dishonesty.
Section Two consists of 37 articles that present demonstrations, class and laboratory projects, and other techniques to enhance teaching and learning in both the introductory, as well as advanced courses in the discipline. This section is organized so as to parallel the order of topics found in most introductory psychology textbooks.
Intended for academicians who teach the introductory psychology course and/or oversee grad assistants who teach the course, all royalties of the book go directly to the Society for the Teaching of Psychology to promote its activities to further improve the teaching of psychology.
Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.
Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.
-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.
*short, independent, chapters that do not have to be read in order;
*a guide to understanding why a particular statistic was selected;
*an emphasis on effects sizes including measures of risk potency;
*numerous cross-disciplinary examples to illustrate the material; and
*methods to help determine practical and clinical significance and their relation to meta-analysis and evidence-based practice.
This book is intended for practitioners and students in psychology, education, counseling, mental and allied health, nursing, and medicine, and as a text for courses on understanding research methods and statistics.
Borderline personality disorder, autism, narcissism, psychosis, Asperger's: All of these syndromes have one thing in common--lack of empathy. In some cases, this absence can be dangerous, but in others it can simply mean a different way of seeing the world.In The Science of Evil Simon Baron-Cohen, an award-winning British researcher who has investigated psychology and autism for decades, develops a new brain-based theory of human cruelty. A true psychologist, however, he examines social and environmental factors that can erode empathy, including neglect and abuse.Based largely on Baron-Cohen's own research, The Science of Evil will change the way we understand and treat human cruelty.
The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses.
This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.
After reviewing both our practical and theoretical research, and focusing on Jung's theory as to the influence of the collective unconscious on individual human psyche, it would be essential to examine this issue from the standpoint of the psychology of individual distinctions. It's obvious that without finding individual archetypal patterns as the basis for human personality, solving any individual or social-collective problems wouldn't be possible since any society consists of individuals constantly affecting one another.
Download PDF at http://www.humanpopulationacademy.org/uploads/publications/FromCarlGustavJungArchetypesOfTheCollectiveUnconsciousToIndividualArchetypalPatterns.pdf
The twenty chapters address such subjects as gay political language, homosexuality and AIDS on prime-time television, the politics of male homosexuality in young adult fiction, the identification of female athleticism with lesbianism, the politics of identity in the works of Edmund White, and coming out strategies. This is must reading for students of communication practices and theory, and for everyone interested in human sexuality.
Contributing to the book are: James Chesebro (Indiana State), James Darsey (Ohio State), Joseph A. Devito (Hunter College, CUNY), Timothy Edgar (Purdue), Mary Anne Fitzpatrick (Wisconsin, Madison), Karen A. Foss (Humboldt State), Kirk Fuoss (St. Lawrence), Larry Gross (Pennsylvania), Darlene Hantzis (Indiana State), Fred E. Jandt (California State, San Bernardino), Mercilee Jenkins (San Francisco State), Valerie Lehr (St. Lawrence), Lynn C. Miller (Texas, Austin), Marguerite Moritz (Colorado, Boulder), Fred L. Myrick (Spring Hill), Emile Netzhammer (Buffalo State), Elenie Opffer, Dorothy S. Painter (Ohio State), Karen Peper (Michigan), Nicholas F. Radel (Furman), R. Jeffrey Ringer (St. Cloud State), Scott Shamp (Georgia), Paul Siegel (Gallaudet), Jacqueline Taylor (Depaul), Julia T. Wood (North Carolina, Chapel Hill).
Research has found that petting a cat can lower blood pressure and a cat's purr is thought to help heal body tissues and bones. But not just any cat can be a therapy cat, after all, such animals need to be friendly with strangers and willing to be touched, petted and held by unfamiliar people. They have to be tolerant ofloud voices and angry shouting, emotional distress, and sudden movements. It's a tall order for any animal,but a particular challenge for a cat.
In Purr Therapy, psychotherapist and cat lover Dr. Kathleen McCoy shows how two very special cats rose to this challenge, how they helped wounded souls to heal and how they taught even her lessons in mindfulness, joyful living, and compassion. She also shows readers how animal-assisted psychotherapy works and gives them an intimate and moving inside look at how Timmy and Marina worked with patients, how their double role as animal companions and cotherapists changed lives, and how, after their untimely deaths, the grief shared by those who knew and loved them led to even more growth and healing.
It's no surprise that there is a tidal wave of cat fanciers growing: even the internet prefers cats. No dog site has reached the proportions of the most popular cat sites—case in point: the mega-star Grumpy Cat who has over 2 ½ million followers! More than an internet trend, this very active market is exploding through cat video contests and festivals that are claiming the passions of millions who will benefit from—and love—Purr Therapy.
Highlights of the new edition include:
Updated throughout to reflect IBM SPSS Version 21.
Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5).
Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6).
New examples specifying multiple latent constructs and parallel growth processes (Ch. 7).
Discussion of alternatives for dealing with missing data and?the use of sample weights within multilevel data structures (Ch.1).
The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. ?
Ideal as a supplementary text for graduate courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology, this book’s practical approach also appeals to researchers in these fields. The book provides an excellent supplement to Heck & Thomas’s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text.
an explanation of the issues addressed an illustration of the hypothesized and posthoc models tested AMOS input and output with accompanying interpretation and explanation The function of the AMOS toolbar icons and their related pull-down menus The data and published reference upon which the model was based.
With over 50% new material, highlights of the new edition include:
All new screen shots featuring Version 17 of the AMOS program All data files now available at www.routledge.com/9780805863734 Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data All applications based on the most commonly used graphical interface The automated multi-group approach to testing for equivalence
The book opens with an introduction to the fundamental concepts of SEM and the basics of the AMOS program. The next 3 sections present applications that focus on single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with a discussion about non-normal and missing (incomplete) data and two applications capable of addressing these issues.
Intended for researchers, practitioners, and students who use SEM and AMOS in their work, this book is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended.
· Downloadable data sets
· Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more
· Additional material for data analysis
By considering a wide spectrum of different research methods the book gives the reader an insight into the assumptions underlying research. Quantitative methods using group design are described without assuming an advanced level of statistical knowledge. Qualitative, language-based methods and single case studies are explored as possible alternatives.
'I am happy to recommend this to my students as it covers jargon without using jargon and explains all those simple things that many academics take for granted. It also gives good examples of how to get the best from your time studying psychology from how to write good essays to the rules of writing lab reports' - Dr Jay Coogan University of East London
'I am happy to recommend this to my students as it covers jargon without using jargon and explains all those simple things that many academics take for granted. It also gives good examples of how to get the best from your time studying psychology from how to write good essays to the rules of writing lab reports.'
Dr Joy Coogan, University of East London
This book provides students with a wide range of research and study skills necessary for achieving a successful classification on a psychology degree course. It replaces the stress and fear experienced when encountering essays, reports, statistics and exams with a sense of confidence, enthusiasm and even fun.
Sieglinde McGee presents indispensable instruction, advice and tips on note making and note taking, evaluating academic literature, writing critical essays, preparing for and doing essay and MCQ exams, understanding research methods and issues associated with conducting research, writing and presenting reports and research and also some important computer skills. Examples provided will show how to score well on assignments and exams and also the sort of approach, layout, errors, omissions or answer-style that would achieve a lower grade. Practical exercises and interactive tasks are integrated throughout to clarify key points and give the students a chance to practise on their own.
This is a useful resource for students taking modules in study and research skills in psychology and an essential guide for all other students studying on psychology programmes.
Dr Sieglinde McGee is an Associate of the School of Psychology at Trinity College, Dublin, where she taught for several years.
Among the topics covered:Consumer financial capability and well-being.Advancing financial literacy education using a framework for evaluation. Financial coaching: defining an emerging field. Consumer finance of low-income families. Financial parenting: promoting financial self-reliance of young consumers. Financial sustainability and personal finance education.
Accessibly written for researchers and practitioners, this Second Edition of the Handbook of Consumer Finance Research will interest professionals involved in improving consumers’ fiscal competence. It also makes a worthwhile text for graduate and advanced undergraduate courses in economics, family and consumer studies, and related fields.
Written for psychology, as well as other social science students, this book introduces the major personalities and their roles in the development of the field. It provides insight into the disciplines of statistics and experimental design through the examination of the character of its founders and the nature of their views, which were sometimes personal and ideological, rather than objective and scientific. It motivates further study by illustrating the human component of this field, adding dimension to an area that is typically very technical.
Intended for advanced undergraduate and/or graduate students in psychology and other social sciences, this book will also be of interest to instructors and/or researchers interested in the origins of this omnipresent discipline.
Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.