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Statistics and Data Analysis For Behavioral Sciences

Statistics and Data Analysis For Behavioral Sciences - 01 edition

Statistics and Data Analysis For Behavioral Sciences - 01 edition

ISBN13: 9780072347647

ISBN10: 0072347643

Statistics and Data Analysis For Behavioral Sciences by Dana S. Dunn - ISBN 9780072347647
Edition: 01
Copyright: 2001
Publisher: McGraw-Hill Publishing Company
Published: 2001
International: No
Statistics and Data Analysis For Behavioral Sciences by Dana S. Dunn - ISBN 9780072347647

ISBN13: 9780072347647

ISBN10: 0072347643

Edition: 01

Summary

Dana S. Dunn, author of The Practical Researcher: A Student Guide to Conducting Psychological Research, brings his twelve years of statistics teaching experience to life in the new Statistics and Data Analysis for the Behavioral Sciences. Dr. Dunn combines the quantitative aspects of statistics with written explanations of what the results of statistical tests mean in a way that students will understand. He incorporates APA style in examples and an appendix to expose students to the expected style of prose. For students with math anxiety or who just need a refresher on basic mathematical functions, he has included an appendix so that faculty are not forced to spend class time reviewing these basic concepts. The book includes a student friendly system of pedagogy to ensure student success. Where possible, Dr. Dunn has included examples and projects for students to conduct research on their own lives to draw personalized meaning from the world of statistics.

Features:

  • Decision Trees open each chapter to give students logical guides to approaching problems and data sets as well as serving as a visual review of the material .
  • Project Exercises at the end of each chapter provide an active exercise that extends the chapter discussion and requires students to relate the chapter material to their lives. For example, the exercise at the end of the chapter on correlation (Ch. 6) has students track variables (weather, exercise, amount of sleep) they believe are associated with the quality (positivity, negativity) of their daily mood.
  • Data Boxes are included in each chapter to examine controversies in statistics and many also contain APA style references. Data Box 9.E, for example, discusses the importance of distinguishing between statistical and practical significance
  • Focus on Interpretation feature follows every test statistic to explain in words to students what the result means. This is done in APA style to reinforce the proper style prose
  • Knowledge Base Concept Checks appear 2 to 3 times per chapter as a review of qualitative and quantitative concepts.
  • Student friendly pedagogy such as Marginal Notes, Key Terms, Summaries "Looking Forward, Then Back", help students move through the difficult concepts of statistics while building their confidence.
  • Unique chapters on Theory of Experimentation in Psychology and Related Fields (Ch. 2), Emerging Research Alternatives (qualitative methods) and Controversies (rethinking significance testing) (Ch. 14), and a capstone chapter on Statistics and Data Analysis in Context (Ch. 15). These chapters remind students to think about how learned concepts apply or relate to the interpretation of research as well as real world situations.
  • Appendices on Basic Mathematics and Math Anxiety discussion, Writing a Research Paper in APA Style, Doing a Research Project Using Statistics and Data Analysis: Organization, Time Management, and Prepping Data for Analysis give students the extra help that they need to succeed in the course.

Table of Contents

Table of Contents

1 Introduction: Statistics and Data Analysis as Tools for Researchers
2 Process of Research in Psychology and Related Fields
3 Frequency Distributions, Data Display, and Graphing
4 Descriptive Statistics: Central Tendency and Variability
5 Standard Scores and the Normal Distribution
6 Correlation
7 Linear Regression
8 Probability
9 Inferential Statistics: Sampling Distributions and Hypothesis Testing
10 Mean Comparison I: The t-test
11 Mean Comparison II: One-Variable Analysis of Variance
12 Mean Comparison III: Two-Variable Analysis of Variance
13 Mean Comparison IV: One-Variable Repeated-Measures Analysis of Variance
14 Some Nonparametric Statistics for Categorical and Ordinal Data
15 Conclusion: Statistics and Data Analysis in Context