Wiley, 2013. — 560 p. — ISBN 978-1-118-23415-0<div class="bb-sep"></div>A core statistics text that emphasizes logical inquiry, not math.<div class="bb-sep"></div>Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to
Research Methods and Statistics for the Social Sciences: A Brief Introduction
✍ Scribed by Amber Debono
- Publisher
- Cognella Academic Publishing
- Year
- 2020
- Tongue
- English
- Leaves
- 142
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Research Methods and Statistics for the Social Sciences: A Brief Introduction provides students with an accessible and practical handbook to research methods and their application within the social sciences. The text is designed to guide students seamlessly through the research process, from the development of a research idea through the creation of a complete, final research paper.
In opening chapters, students learn why research methods and statistics are critical within the discipline, basic concepts in quantitative research and statistics, and the foundation of statistics: mean, variance, and standard deviation. Dedicated chapters cover standardized scores, correlation research design, psychological assessments, and how to understand variables and speak to the validity of their research. Students learn how to conduct a simple experiment with both a between and a within-subjects design. They are introduced to complex approaches to experimental design and statistics, research with a factorial design, and chi-square analysis. The closing chapter reviews qualitative research and design. Formulas presented throughout the text are clearly linked to the Statistical Package for Social Sciences (SPSS) to furnish students with practical knowledge.
Featuring a highly accessible presentation of the material, Research Methods and Statistics for the Social Sciences is an ideal textbook for research-based courses in the social sciences.
Amber DeBono is an associate professor of psychology at Winston-Salem State University, where she teaches courses in introductory psychological sciences, research methods and statistics, social psychology, personality psychology, and death, dying, and bereavement. She holds a Ph.D. in social psychology from the University at Albany, State University of New York, and M.A. in general psychology from Hunter College, State University of New York. Dr. DeBono's research interests include immoral behavior, religion, social exclusion, aggression, and self-regulation.
✦ Table of Contents
Table of Contents
Chapter 1: Why Am I Here?
Chapter 2: Laying the Foundation: Quantitative Research and Statistics
Chapter 3: Introduction to Statistics Fundamentals
Chapter 4: Standardized Scores, Correlational Research Design, and Calculating Pearson╎s r
Chapter 5: Psychological Assessments, Reliability, and Validity
Chapter 6: Experimental Designs
Chapter 7: How Do I Analyze My Results From My Between-SubjectsExperiment? Independent T-Tests and Dependent T-Tests
Chapter 8: How Do I Analyze My Results From My Within-SubjectsExperiment? Dependent T-Tests
Chapter 9: Complex Experiments Mean More Complex Statistics:One-Way ANOVA
Chapter 10: Experiments With Two Independent Variables: Two-Way ANOVA
Chapter 11: Chi-Square: When My Study Has a Categorical Dependent Variable
Chapter 12: Qualitative Research and Data Analysis
Chapter 13: Writing Your APA Report
Appendix: Cutoff Score Tables for Statistical Tests
Index
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