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The Process of Statistical Analysis in Psychology

The Process of Statistical Analysis in Psychology
Author: Dawn M. McBride
Publisher: SAGE Publications
Total Pages: 303
Release: 2017-09-20
Genre: Psychology
ISBN: 1506325246

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This new introductory statistics text from Dawn M. McBride, best-selling author of The Process of Research in Psychology, covers the background and process of statistical analysis, along with how to use essential tools for working with data from the field. Research studies are included throughout from both the perspective of a student conducting their own research study and of someone encountering research in their daily life. McBride helps readers gain the knowledge they need to become better consumers of research and statistics used in everyday decision-making and connects the process of research design with the tools employed in statistical analysis. Instructors and students alike will appreciate the extra opportunities for practice with the accompanying Lab Manual for Statistical Analysis, also written by McBride and her frequent collaborator, J. Cooper Cutting.


Introduction to Research Methods and Data Analysis in Psychology

Introduction to Research Methods and Data Analysis in Psychology
Author: Darren Langdridge
Publisher: Pearson Higher Ed
Total Pages: 640
Release: 2013-04-29
Genre: Psychology
ISBN: 0273756885

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This third edition of Introduction to Research Methods and Data Analysis in Psychology provides you with a unique, balanced blend of quantitative and qualitative research methods. Highly practical in nature, the book guides you, step-by-step, through the research process and is underpinned by SPSS screenshots, diagrams and examples throughout.


Analysing Qualitative Data in Psychology

Analysing Qualitative Data in Psychology
Author: Evanthia Lyons
Publisher: SAGE
Total Pages: 306
Release: 2007-10-25
Genre: Psychology
ISBN: 0857024345

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Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods (grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis). Assuming no prior knowledge of qualitative research, chapters on the nature, assumptions and practicalities of each method are written by acknowledged experts. To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, backed up with authoritative analyses using the different methods.


Secondary Data Analysis

Secondary Data Analysis
Author: Kali H. Trzesniewski
Publisher: American Psychological Association (APA)
Total Pages: 264
Release: 2011
Genre: Psychology
ISBN:

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This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.


Introducing Research and Data in Psychology

Introducing Research and Data in Psychology
Author: Ann Searle
Publisher: Routledge
Total Pages: 223
Release: 2002-01-04
Genre: Psychology
ISBN: 1134659504

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Introducing Research and Data in Psychology shows how research design and data analysis are attainable and useful skills. It introduces both experimental and non-experimental methods of research and the analysis of data using both descriptive and inferential statistics. The uses, interpretation and calculation of common two sample statistical tests are explained. This comprehensive textbook includes the following designed features to help with technique: * Practice exam answers to show how to achieve a higher grade * Chapter summaries * Glossary * Case studies and examples * Exercises and a full bibliography


Data Analysis

Data Analysis
Author: Edward L. Wike
Publisher: Transaction Publishers
Total Pages: 268
Release: 2006-08-01
Genre: Social Science
ISBN: 0202365352

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This book is intended for psychology majors and graduate students who are conducting experiments for the first time and are faced with the task of making sense out of their data. This much needed "how-to-do-it" text illustrates the application of statistical methods to the data from small samples. It also serves as a handbook, with twenty-two tables presented at the end of the text that will allow the student to carry out virtually every computation necessary in analyzing his data. Almost all of the examples and illustrations are drawn from actual experiments so that the student can see how professional scientists examine their data. The book also shows students the kinds of data that are encountered in psychological research, the kinds of questions investigators seek to answer, and how these questions are approached. The author asserts that statistics is not an abstract discipline but a tool in research. However, the book also imparts a philosophy of data analysis and its meaning, a concern for questions of the function of data analysis and the interpretations that legitimately can be drawn from data. In brief, Data Analysis asks: What kinds of data are met in psychological research? What can we do with these data? What can we conclude as a result of this doing? The book will be invaluable for students who, even though they may have taken a previous statistics course, are still unsure of what statistical techniques should be used in interpreting their data. Edward L. Wike was educated at the University of California at Los Angeles, where he received his Ph.D. in experimental psychology in 1952. He has contributed many articles to psychology journals and is currently Professor of Psychology, University of Kansas. He was a member of American Psychology Association, Sigma Xi, as well as the Psychonomic Society. He was named Outstanding Educator in America in 1975.


Statistical Analysis in Psychology and Education

Statistical Analysis in Psychology and Education
Author: George Andrew Ferguson
Publisher: London ; Toronto : McGraw-Hill
Total Pages: 502
Release: 1966
Genre: Educational tests and measurements
ISBN:

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Data Analysis for Research Designs

Data Analysis for Research Designs
Author: Geoffrey Keppel
Publisher: Macmillan
Total Pages: 628
Release: 1989-03-15
Genre: Mathematics
ISBN: 9780716719915

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Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.


Psychology Statistics For Dummies

Psychology Statistics For Dummies
Author: Donncha Hanna
Publisher: John Wiley & Sons
Total Pages: 471
Release: 2013-01-29
Genre: Psychology
ISBN: 1119952875

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The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis. Psychology Statistics For Dummies: Serves as an easily accessible supplement to doorstop-sized psychology textbooks Provides psychology students with psychology-specific statistics instruction Includes clear explanations and instruction on performing statistical analysis Teaches students how to analyze their data with SPSS, the most widely used statistical packages among students


Learning Statistics with R

Learning Statistics with R
Author: Daniel Navarro
Publisher: Lulu.com
Total Pages: 617
Release: 2013-01-13
Genre: Computers
ISBN: 1326189727

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"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com