This book is for students who are embarking on a qualitative research project in psychology or a related discipline. While focusing mainly on undergraduate dissertations, this book will also be useful for postgraduate students.
Author: Roger E. Kirk
Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.
6 Confounded Factorial Designs ROGER E. KIRK Baylor University , Waco , Texas 6.1 INTRODUCTION TO CONFOUNDING Ronald A. Fisher's classic ... were reproduced from Experimental Design : Procedures for the Behavioral Sciences ( 2nd ed . ) ...
Author: Lynne Edwards
Publisher: CRC Press
A reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to
Discusses experimental designs and their associated statistical procedures used in the behavioral , biological , and social sciences . Explains the operational steps involved with the designs , reasons behind the analytical procedures ...
Author: Melvyn N. Freed
Publisher: Greenwood Publishing Group
A guide for educators lists reference sources, journals, book publishers, educational research software, and educational organizations.
A control group design for experimental study of developmental processes . ... Single - case experimental designs : Strategies for studying behavioral change . ... Experimental design : Procedures for the behavioral sciences .
Experimental design: Procedures for the behavioral sciences. Pacific Grove, CA: Brooks/Cole Publishing Company. Kline, R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research.
Author: David J. Sheskin
Publisher: CRC Press
Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th
Causal inference in statistics, and in the social and biomedical sciences. ... Efficient repeated measurements designs with equal and unequal period sizes. ... Experimental design: Procedures for the behavioral sciences (3rd ed.).
Author: Valentim R. Alferes
Publisher: SAGE Publications
Category: Social Science
In Methods of Randomization in Experimental Design, author Valentim R. Alferes presents the main procedures of random assignment and local control in between-subjects experimental designs and the counterbalancing schemes in within-subjects or cross-over experimental designs. Alferes uses a pedagogical strategy that allows the reader to implement all randomization methods by relying on the materials given in the appendices and using common features included in most word processor software. A companion website at www.sagepub.com/alferes provides downloadable IBM SPSS and R versions of SCRAED, a package that performs simple and complex random assignment in experimental design, including the 18 randomization methods presented in Chapters 2 and 3.
REFERENCES BLACK , V. ( 1955 ) " Laboratory versus field research in psychology and the social sciences . " British Journal for the ... KIRK , R. E. ( 1982 ) Experimental Design : Procedures for the Behavioral Sciences ( 2nd ed . ) .
Author: Steven R. Brown
This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test and completely randomized designs.
The design of experiments (7th ed.). Edinburgh–London: Oliver & Boyd. Keppel, G. (1991) Design and analysis: A researcher's handbook (3rd ed.). ... Experimental design: Procedures for the behavioral sciences (2nd. ed.).
Author: David J. Sheskin
Publisher: CRC Press
Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of n
Release on 1998-10-26 | by Professor Catrien C J H C J H Bijleveld
Kettenring , J. R. ( 1971 ) . Canonical analysis of several sets of variables . Biometrika , 56 , 433-451 . Kirk , R. E. ( 1968 ) . Experimental design : Procedures for the behavioral sciences , 1st edn . Monterey , CA : Brooks / Cole .
Author: Professor Catrien C J H C J H Bijleveld
Category: Analysis of variance
By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.
Pairwise multiple comparison procedures: A review. ... Unpublished manuscript, Purdue University, Department of Psychological Sciences, West Lafayette, IN. ... Experimental design: Procedures for the behavioral sciences (3rd ed.).
Author: James Jaccard
Publisher: Cengage Learning
Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, the text tells students when to use a particular statistic, why they should use it, and how the statistic should be computed and interpreted. Because many students, given a set of data, cannot determine where to begin in answering relevant research questions, the authors explicate the issues involved in selecting a statistical test. Each statistical technique is introduced by giving instances where the test is most typically applied followed by an interesting research example (each example is taken from psychology literature). Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Experimental Design: Procedures for the Behavioral Science (3rd ed.1. Pacific Grove. CA: Brooks/Cole. Lord. F. M. (19531. On the statistical treatment of football numbers. American Psychologist. 8. 750-751. Meng. X. L.. Rosenthal. R..
Author: Riccardo Russo
Publisher: Psychology Press
Do you find statistics overwhelming and confusing? Have you ever wished for someone to explain the basics in a clear and easy-to-follow style? This accessible textbook gives a step-by-step introduction to all the topics covered in introductory statistics courses for the behavioural sciences, with plenty of examples discussed in depth, based on real psychology experiments utilising the statistical techniques described. Advanced sections are also provided, for those who want to learn a particular topic in more depth. Statistics for the Behavioural Sciences: An Introduction begins with an introduction to the basic concepts, before providing a detailed explanation of basic statistical tests and concepts such as descriptive statistics, probability, the binomial distribution, continuous random variables, the normal distribution, the Chi-Square distribution, the analysis of categorical data, t-tests, correlation and regression. This timely and highly readable text will be invaluable to undergraduate students of psychology, and students of research methods courses in related disciplines, as well as anyone with an interest in the basic concepts and tests associated with statistics in the behavioural sciences.
Just the FACTS101 provides the essentials of the textbook: all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Facts101. Accompanies: 9781412974455.
Author: Cram101 Textbook Reviews
Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9781412974455. This item is printed on demand.
Experimental design: Procedures for the behavioral sciences. Belmont, CA: Brooks/Cole. Loftus, G.R., & Loftus, E.F. (1988). Essenceofstatistics. New York: Knopf. Marascuilo, L. A., & Serlin, R. C. (1988). Statistical methods for the ...
Author: Roger Bakeman
Publisher: Psychology Press
Understanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulas are reduced. New ideas are presented in the context of a few recurring examples, which allows readers to focus more on the new statistical concepts than on the details of different studies. The authors' selection and organization of topics is slightly different from the ordinary introductory textbook. It is motivated by the needs of a behavioral science student, or someone in clinical practice, rather than by formal, mathematical properties. The book begins with hypothesis testing and then considers how hypothesis testing is used in conjunction with statistical designs and tests to answer research questions. In addition, this book treats analysis of variance as another application of multiple regression. With this integrated, unified approach, students simultaneously learn about multiple regression and how to analyze data associated with basic analysis of variance and covariance designs. Students confront fewer topics but those they do encounter possess considerable more power, generality, and practical importance. This integrated approach helps to simplify topics that often cause confusion. Understanding Statistics in the Behavioral Sciences features:*Computer-based exercises, many of which rely on spreadsheets, help the reader perform statistical analyses and compare and verify the results using either SPSS or SAS. These exercises also provide an opportunity to explore definitional formulas by altering raw data or terms within a formula and immediately see the consequences thus providing a deeper understanding of the basic concepts. *Key terms and symbols are boxed when first introduced and repeated in a glossary to make them easier to find at review time. *Numerous tables and graphs, including spreadsheet printouts and figures, help students visualize the most critical concepts. This book is intended as a text for introductory behavioral science statistics. It will appeal to instructors who want a relatively brief text. The book's active approach to learning, works well both in the classroom and for individual self-study.
Experimental Design: Procedures for the Behavioral Sciences. Brooks-Cole, Belmont, Calif. (This work reflects the ''belief that there is a need for a book requiring a minimum of mathematical sophistication on the part of the reader but ...
Psychological Science, 15, 47–51. Killeen, P. R. (2005). An alternative to null hypothesis significance tests. Psychological Science, 16, 345–353. Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences (3rd ed.) ...
Author: Christopher L. Aberson
First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.
An Index for Comparing Experimental Samples and Populations,” Journal of Educational and Behavioral Statistics 39, no. 6 (2014): 478–501. 13. Roger Kirk, Experimental Design: Procedures for the Behavioral Sciences, 4th ed.
Author: Renita Coleman
Publisher: SAGE Publications
Category: Social Science
"This book is a must for learning about the experimental design–from forming a research question to interpreting the results this text covers it all." –Sarah El Sayed, University of Texas at Arlington Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given. Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.
Experimental Design: Procedures for the Behavioral Sciences (3rd ed.). Pacific Grove, CA: Brooks/Cole. Kirk, R. E. (1996). Practical significance: A concept whose time has come. Educational and Psychological Measurement, 56, 746–759.
Author: Bruce M. King
Publisher: John Wiley & Sons
Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology. Students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools. This revised and updated edition continues to follow the recommendations of the APA Task Force on Statistical Inference and greatly expands the information on testing hypotheses about single means. The Seventh Edition moves from a focus on the use of computers in statistics to a more precise look at statistical software. The “Point of Controversy” feature embedded throughout the text provides current discussions of exciting and hotly debated topics in the field. Readers will appreciate how the comprehensive graphs, tables, cartoons and photographs lend vibrancy to all of the material covered in the text.
Experimental design: Procedures for the behavioral sciences. Belmont, CA: Brooks/Cole. Kulik, J. A., Kulik, C. L. C., & Cohen, P. A. (1979). A meta-analysis of outcome studies of Keller's personalized system of instruction.
Author: Thomas R. Kratochwill
Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.
Release on 2012-10-25 | by Bernard E. Whitley (Jr.)
In within-subjects designs, each participant experiences each condition of the independent variable, thereby providing a perfect “match” between the participants ... Experimental design: Procedures for the behavioral sciences (3rd ed.) ...
Author: Bernard E. Whitley (Jr.)
Intended for beginning graduate or advanced undergraduate students, this book provides a comprehensive review of research methods used in psychology and related disciplines. It covers topics that are often omitted in other texts including correlational and qualitative research and integrative literature reviews. Basic principles are reviewed for those who need a refresher. The focus is on conceptual issues – statistics are kept to a minimum. Featuring examples from all fields of psychology, the book addresses laboratory and field research. Chapters are written to be used independently, so instructors can pick and choose those that fit their course needs. Reorganized to parallel the steps of the research process, tips on writing reports are also provided. Each chapter features an outline, key terms, a summary, and questions and exercises that integrate chapter topics and put theory into practice. A glossary and an annotated list of readings are now included. Extensively updated throughout, the new edition features a new co-author, Mary Kite, and: • New chapters on qualitative research and content analysis and another on integrative literature reviews including meta-analysis, critical techniques for today’s research environment. • A new chapter on exploratory and confirmatory factor analysis that addresses the use of path analysis and structural equation modeling. • A new chapter on how to write a research report using APA style. • Examples from cross-cultural and multi-cultural research, neuroscience, cognitive, and developmental psychology along with ones from social, industrial, and clinical psychology. • More on Internet research and studies. • Greatly expanded Part 3 on research designs with chapters on true experiments, field research, correlational and single-case designs, content analysis, and survey and qualitative research. • A website with PowerPoint slides for each chapter, a test bank with short answer and multiple choice questions, additional teaching resources, and the tables and figures from the book for Instructor’s and chapter outlines, suggested readings, and links to related web sites for students. Intended as a text for beginning graduate and/or advanced undergraduate courses in research methods or experimental methods or design taught in psychology, human development, family studies, education, or other social and behavioral sciences, a prerequisite of undergraduate statistics and a beginning research methods course is assumed.