Statistics and Data Analysis For Behavioral Sciences {Repost}

Description

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.

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1. Ebooks list page : 2877
2. Statistics and Data Analysis For Behavioral Sciences
3. Multiple Correspondence Analysis and Related Methods (Statistics in the Social and Behavioral Sciences)
4. Statistics for the Social and Behavioral Sciences
5. Understanding Statistics in the Behavioral Sciences
6. Introduction to Variance Estimation (Statistics for Social and Behavioral Sciences)
7. Multidimensional Item Response Theory (Statistics for Social and Behavioral Sciences)
8. Mathematical Statistics and Data Analysis (repost)
9. Statistical Data Analysis Explained: Applied Environmental Statistics with R (repost)
10. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Third Edition
11. JMP Start Statistics: A Guide to Statistics and Data Analysis Using Jmp, Fourth Edition (Sas Press Series)
12. JMP Start Statistics A Guide to Statistics and Data Analysis Using Jmp
13. Foundations of Behavioral Statistics: An Insight-Based Approach (Repost)
14. Concise Handbook of Experimental Methods for the Behavioral and Biological Sciences (repost)
15. Symbolic Data Analysis Conceptual Statistics and Data Mining
16. Ordinal Data Modeling (Statistics for Social Science and Behavorial Sciences)