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Summary:
Publisher Summary 1
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.
目录
Introduction: Statistics and Data Analysis as Tools for Researchers
Process of Research in Psychology and Related Fields
Frequency Distributions, Data Display, and Graphing
Descriptive Statistics: Central Tendency and Variability
Standard Scores and the Normal Distribution
Correlation
Linear Regression
Probability
Inferential Statistics: Sampling Distributions and Hypothesis Testing
Mean Comparison I: The t-test
Mean Comparison II: One-Variable Analysis of Variance
Mean Comparison III: Two-Variable Analysis of Variance
Mean Comparison IV: One-Variable Repeated-Measures Analysis of Variance
Some Nonparametric Statistics for Categorical and Ordinal Data
Conclusion: Statistics and Data Analysis in Context
Process of Research in Psychology and Related Fields
Frequency Distributions, Data Display, and Graphing
Descriptive Statistics: Central Tendency and Variability
Standard Scores and the Normal Distribution
Correlation
Linear Regression
Probability
Inferential Statistics: Sampling Distributions and Hypothesis Testing
Mean Comparison I: The t-test
Mean Comparison II: One-Variable Analysis of Variance
Mean Comparison III: Two-Variable Analysis of Variance
Mean Comparison IV: One-Variable Repeated-Measures Analysis of Variance
Some Nonparametric Statistics for Categorical and Ordinal Data
Conclusion: Statistics and Data Analysis in Context
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