Experimental Design In Psychology

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Experimental Design in Psychology

Author : M. Kimberly MacLin
Publisher : Routledge
Page : 385 pages
File Size : 42,6 Mb
Release : 2020-03-31
Category : Psychology
ISBN : 9781000727661

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Experimental Design in Psychology by M. Kimberly MacLin Pdf

This text is about doing science and the active process of reading, learning, thinking, generating ideas, designing experiments, and the logistics surrounding each step of the research process. In easy-to-read, conversational language, Kim MacLin teaches students experimental design principles and techniques using a tutorial approach in which students read, critique, and analyze over 75 actual experiments from every major area of psychology. She provides them with real-world information about how science in psychology is conducted and how they can participate. Recognizing that students come to an experimental design course with their own interests and perspectives, MacLin covers many subdisciplines of psychology throughout the text, including IO psychology, child psychology, social psychology, behavioral psychology, cognitive psychology, clinical psychology, health psychology, educational/school psychology, legal psychology, and personality psychology, among others. Part I of the text is content oriented and provides an overview of the principles of experimental design. Part II contains annotated research articles for students to read and analyze. Classic articles have been retained and 11 new ones have been added, featuring contemporary case studies, information on the Open Science movement, expanded coverage on ethics in research, and a greater focus on becoming a better writer, clarity and precision in writing, and reducing bias in language. This edition is up to date with the latest APA Publication Manual (7th edition) and includes an overview of the updated bias-free language guidelines, the use of singular "they," the new ethical compliance checklist, and other key changes in APA style. This text is essential reading for students and researchers interested in and studying experimental design in psychology.

Experimental Design and Analysis for Psychology

Author : Herve Abdi,Betty Edelman,Dominique Valentin,W. Jay Dowling
Publisher : Oxford University Press
Page : 559 pages
File Size : 52,5 Mb
Release : 2009-02-26
Category : Mathematics
ISBN : 9780199299881

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Experimental Design and Analysis for Psychology by Herve Abdi,Betty Edelman,Dominique Valentin,W. Jay Dowling Pdf

A complete course in data collection and analysis for students who need to go beyond the basics. A true course companion, the engaging writing style takes readers through challenging topics, blending examples and exercises with careful explanations and custom-drawn figures ensuring the most daunting concepts can be fully understood.

An Introduction to Experimental Design in Psychology

Author : Robert L. Solso,Homer H. Johnson
Publisher : HarperCollins Publishers
Page : 388 pages
File Size : 44,8 Mb
Release : 1989
Category : Experimental design
ISBN : PSU:000023648234

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An Introduction to Experimental Design in Psychology by Robert L. Solso,Homer H. Johnson Pdf

Experimental Design and Statistics for Psychology

Author : Fabio Sani,John Todman
Publisher : John Wiley & Sons
Page : 240 pages
File Size : 48,7 Mb
Release : 2008-04-15
Category : Psychology
ISBN : 9781405150385

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Experimental Design and Statistics for Psychology by Fabio Sani,John Todman Pdf

Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. Makes abundant use of charts, diagrams and figures. Assumes no prior knowledge of statistics. Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students. Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design. Provides detailed instructions on how to perform statistical tests with SPSS. Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book.

Experimental and Quasi-Experimental Designs for Research

Author : Donald T. Campbell,Julian C. Stanley
Publisher : Ravenio Books
Page : 84 pages
File Size : 41,7 Mb
Release : 2015-09-03
Category : Psychology
ISBN : 8210379456XXX

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Experimental and Quasi-Experimental Designs for Research by Donald T. Campbell,Julian C. Stanley Pdf

We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.

The SAGE Handbook of Quantitative Methods in Psychology

Author : Roger E Millsap,Alberto Maydeu-Olivares
Publisher : SAGE
Page : 801 pages
File Size : 50,6 Mb
Release : 2009-07-23
Category : Psychology
ISBN : 9781446206676

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The SAGE Handbook of Quantitative Methods in Psychology by Roger E Millsap,Alberto Maydeu-Olivares Pdf

`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.

Experimental Design Research

Author : Philip Cash,Tino Stanković,Mario Štorga
Publisher : Springer
Page : 270 pages
File Size : 43,6 Mb
Release : 2016-05-17
Category : Technology & Engineering
ISBN : 9783319337814

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Experimental Design Research by Philip Cash,Tino Stanković,Mario Štorga Pdf

This book presents a new, multidisciplinary perspective on and paradigm for integrative experimental design research. It addresses various perspectives on methods, analysis and overall research approach, and how they can be synthesized to advance understanding of design. It explores the foundations of experimental approaches and their utility in this domain, and brings together analytical approaches to promote an integrated understanding. The book also investigates where these approaches lead to and how they link design research more fully with other disciplines (e.g. psychology, cognition, sociology, computer science, management). Above all, the book emphasizes the integrative nature of design research in terms of the methods, theories, and units of study—from the individual to the organizational level. Although this approach offers many advantages, it has inherently led to a situation in current research practice where methods are diverging and integration between individual, team and organizational understanding is becoming increasingly tenuous, calling for a multidisciplinary and transdiscipinary perspective. Experimental design research thus offers a powerful tool and platform for resolving these challenges. Providing an invaluable resource for the design research community, this book paves the way for the next generation of researchers in the field by bridging methods and methodology. As such, it will especially benefit postgraduate students and researchers in design research, as well as engineering designers.

Experimental Design

Author : Douglas W. Cunningham,Christian Wallraven
Publisher : CRC Press
Page : 402 pages
File Size : 41,8 Mb
Release : 2011-11-17
Category : Computers
ISBN : 9781439865514

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Experimental Design by Douglas W. Cunningham,Christian Wallraven Pdf

As computers proliferate and as the field of computer graphics matures, it has become increasingly important for computer scientists to understand how users perceive and interpret computer graphics. Experimental Design: From User Studies to Psychophysics is an accessible introduction to psychological experiments and experimental design, covering th

Experimental Design in Psychological Research

Author : Allen Louis Edwards
Publisher : HarperCollins Publishers
Page : 616 pages
File Size : 49,9 Mb
Release : 1985
Category : Psychology
ISBN : UOM:39015009105480

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Experimental Design in Psychological Research by Allen Louis Edwards Pdf

How to Design and Report Experiments

Author : Andy Field,Graham Hole
Publisher : SAGE
Page : 398 pages
File Size : 46,7 Mb
Release : 2002-12-20
Category : Psychology
ISBN : 9781847872982

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How to Design and Report Experiments by Andy Field,Graham Hole Pdf

How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, How to Design and Report Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses.

Experimental Design and Statistics

Author : Steve Miller
Publisher : Routledge
Page : 158 pages
File Size : 40,5 Mb
Release : 2005-07-25
Category : Psychology
ISBN : 9781134954636

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Experimental Design and Statistics by Steve Miller Pdf

For this second edition, this best-selling textbook has been revised, the coverage of two-sample tests extended, and new sections added introducing one-sample tests, linear regression, and the product-moment correlation coefficient.

Statistics and Experimental Design for Psychologists

Author : Rory Allen
Publisher : World Scientific Publishing Company
Page : 472 pages
File Size : 44,8 Mb
Release : 2017-08-28
Category : Psychology
ISBN : 9781786340672

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Statistics and Experimental Design for Psychologists by Rory Allen Pdf

This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods. Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing. The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS. Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method. Contents: What is Science?Comparing Different Models of a Set of DataTesting Hypotheses and Recording the Result: Types of ValidityBasic Descriptive Statistics (and How Pierre Laplace Saved the World)Bacon's Legacy: Causal Models, and How to Test ThemHow Hypothesis Testing Copes with Uncertainty: The Legacy of Karl Popper and Ronald FisherGaussian Distributions, the Building Block of Parametric StatisticsRandomized Controlled Trials, the Model T Ford of ExperimentsThe Independent Samples t-Test, the Analytical Engine of the RCTGeneralising the t-Test: One-Way ANOVAMultifactorial Designs and Their ANOVA CounterpartsRepeated Measures Designs, and Their ANOVA CounterpartsAppendices:On Finding the Right Effect SizeWhy Orthogonal Contrasts are UsefulMathematical Justification for the Occam LineGlossaryFurther ReadingReferencesIndex Readership: Students of undergraduate and graduate level psychology, and academics involved in research.

Experimental And Nonexperimental Designs In Social Psychology

Author : Abraham S. Ross
Publisher : Routledge
Page : 196 pages
File Size : 42,8 Mb
Release : 2019-04-08
Category : Psychology
ISBN : 9780429690969

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Experimental And Nonexperimental Designs In Social Psychology by Abraham S. Ross Pdf

This book considers experimental designs, alternatives to experimental designs, survey methods, and how systematic collection of information can minimize alternative explanations in social psychology. It discusses meta-analysis for interpreting the results of many social psychology experiments.

Experimental Design in Behavioural Research

Author : Krishan D. Broota
Publisher : New Age International
Page : 480 pages
File Size : 48,9 Mb
Release : 1989
Category : Psychology
ISBN : 8122402151

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Experimental Design in Behavioural Research by Krishan D. Broota Pdf

The Book Has Been Addressed To The Students And Researchers In The Disciplines Of Psychology, Education, Sociology, Social-Work, Medicine, Management, And Allied Disciplines. It Has Been Written For Those Who Do Not Possess Sophisticated Mathematical Background. Various Designs And Their Analyses Have Been Presented In Simple Understandable Language. The Intended Emphasis Is To Make The Reader Understand The Basic Principles Of Experimental Design, Layout For Data Collection, Analysis Of Data, Interpretation Of Results Of Experimental Outcome. It Offers An Integrated Approach Placing Due Emphasis On Theory, Application, And Computational Procedures. Schematic Representations Of Analysis For Each Design Is A Novel Feature Of This Book, It Makes The Analysis Simple And Easy To Comprehend. Each Design Includes General Layout For Data Collection, Schematic Representation Of The Analysis, Followed By Numerical Example With Detailed Solution And Interpretation. Numerous Illustrations, Many From Published Research, Are Provided With The Intent To Equip The Reader To Develop Insight Into The Intricacies Of Research Strategy. Special Treatment Has Been Given To Within Subject And Mixed Designs. Multivariate Analysis Of Variance, Analysis Of Covariance, And Also Analysis Of Variance By Ranks Have Been Included.

An Introduction to Experimental Design in Psychology

Author : Robert L. Solso,Homer H. Johnson
Publisher : HarperCollins Publishers
Page : 316 pages
File Size : 46,8 Mb
Release : 1984
Category : Psychology
ISBN : STANFORD:36105039914275

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An Introduction to Experimental Design in Psychology by Robert L. Solso,Homer H. Johnson Pdf