Handbook of Research and Quantitative Methods in Psychology

Handbook of Research and Quantitative Methods in Psychology
Author :
Publisher : Psychology Press
Total Pages : 370
Release :
ISBN-10 : 9781135059804
ISBN-13 : 1135059802
Rating : 4/5 (04 Downloads)

Synopsis Handbook of Research and Quantitative Methods in Psychology by : R.M. Yaremko

This comprehensive reference organizes extensive definitions and examples of key concepts in quantitative research into a single, convenient source. Alphabetically arranged and cross-referenced, The Handbook of Research and Quantitative Methods In Psychology presents: * experimental procedures, * research designs, * statistical methods, * information theory, * psychophysics, * behavioral terminology, * scaling and testing.

The SAGE Handbook of Quantitative Methods in Psychology

The SAGE Handbook of Quantitative Methods in Psychology
Author :
Publisher : SAGE Publications
Total Pages : 801
Release :
ISBN-10 : 9781412930918
ISBN-13 : 141293091X
Rating : 4/5 (18 Downloads)

Synopsis The SAGE Handbook of Quantitative Methods in Psychology by : Roger E Millsap

`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.

APA Handbook of Research Methods in Psychology: Foundations, planning, measures, and psy

APA Handbook of Research Methods in Psychology: Foundations, planning, measures, and psy
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : 1433837137
ISBN-13 : 9781433837135
Rating : 4/5 (37 Downloads)

Synopsis APA Handbook of Research Methods in Psychology: Foundations, planning, measures, and psy by : Harris M. Cooper

"With significant new and updated content, the second edition of the indispensable APA Handbook of Research Methods in Psychology describes techniques developed to pursue a shared understanding of why humans think, feel, and behave the way they do"--

The SAGE Handbook of Qualitative Research in Psychology

The SAGE Handbook of Qualitative Research in Psychology
Author :
Publisher : SAGE
Total Pages : 665
Release :
ISBN-10 : 9781526422866
ISBN-13 : 1526422867
Rating : 4/5 (66 Downloads)

Synopsis The SAGE Handbook of Qualitative Research in Psychology by : Carla Willig

One of our bestselling handbooks, The SAGE Handbook of Qualitative Research in Psychology, is back for a second edition. Since the first edition qualitative research in psychology has been transformed. Responding to this, existing chapters have been updated, and three new chapters introduced on Thematic Analysis, Interpretation and Netnography. With a focus on methodological progress throughout, the chapters are organised into three sections: Section One: Methods Section Two: Perspectives and Techniques Section Three: Applications In the field of psychology and beyond, this handbook will constitute a valuable resource for both experienced qualitative researchers and novices for many years to come.

Quantitative Psychological Research

Quantitative Psychological Research
Author :
Publisher : Routledge
Total Pages : 718
Release :
ISBN-10 : 9781315398136
ISBN-13 : 1315398133
Rating : 4/5 (36 Downloads)

Synopsis Quantitative Psychological Research by : David Clark-Carter

Quantitative Psychological Research: The Complete Student's Companion expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research. Accessibly written and clearly presented, the book is designed for anyone learning to conduct quantitative psychological research. It covers the full research process, from the original idea to reporting the completed study, emphasising the importance of looking beyond statistical significance in evaluating data. The book provides step-by-step guidance on choosing, interpreting and reporting the appropriate analysis, featuring worked examples and extended calculations as appendices for advanced readers. This edition features new chapters on exploratory factor analysis, logistic regression and Bayesian statistics, and has been thoroughly updated throughout to reflect the latest research practices. Care has been taken to avoid tying the book to any specific statistical software, providing readers with a thorough grounding in the basics no matter which package they go on to use. Whether you’re at the beginning of your undergraduate degree or working towards your masters or doctorate, this book will be invaluable for anyone looking to understand how to conduct quantitative psychological research.

Handbook of Qualitative Research Methods for Psychology and the Social Sciences

Handbook of Qualitative Research Methods for Psychology and the Social Sciences
Author :
Publisher : Wiley-Blackwell
Total Pages : 236
Release :
ISBN-10 : 185433204X
ISBN-13 : 9781854332042
Rating : 4/5 (4X Downloads)

Synopsis Handbook of Qualitative Research Methods for Psychology and the Social Sciences by : John Richardson

This book explains the principal qualitative methods and applies them to psychological problems. It is designed for use in psychology and also other branches of social science. The books main aim is to increase people's confidence to use qualitative methods in their own research.

Handbook of Research and Quantitative Methods in Psychology

Handbook of Research and Quantitative Methods in Psychology
Author :
Publisher : Psychology Press
Total Pages : 351
Release :
ISBN-10 : 9781135059811
ISBN-13 : 1135059810
Rating : 4/5 (11 Downloads)

Synopsis Handbook of Research and Quantitative Methods in Psychology by : R.M. Yaremko

This comprehensive reference organizes extensive definitions and examples of key concepts in quantitative research into a single, convenient source. Alphabetically arranged and cross-referenced, The Handbook of Research and Quantitative Methods In Psychology presents: * experimental procedures, * research designs, * statistical methods, * information theory, * psychophysics, * behavioral terminology, * scaling and testing.

The SAGE Handbook of Quantitative Methods in Psychology

The SAGE Handbook of Quantitative Methods in Psychology
Author :
Publisher : SAGE
Total Pages : 801
Release :
ISBN-10 : 9781446206676
ISBN-13 : 144620667X
Rating : 4/5 (76 Downloads)

Synopsis The SAGE Handbook of Quantitative Methods in Psychology by : Roger E Millsap

`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.