This is a textbook for Carnegie Mellon University.
Preface
This book is intended as required reading material for my course, Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences at Carnegie Mellon University. This course is also cross-listed as a graduate level course for Masters and PhD students (in fields other than Statistics), and supplementary material is included for this level of study.
Over the years the course has grown to include students from dozens of majors beyond Psychology and the Social Sciences and from all of the Colleges of the University. This is appropriate because Experimental Design is fundamentally the same for all fields. This book tends towards examples from behavioral and social sciences, but includes a full range of examples.
Contents
- 1 The Big Picture 1
- 2 Variable Classification 9
- 3 Review of Probability 19
- 4 Exploratory Data Analysis 61
- 5 Learning SPSS: Data and EDA 101
- 6 t-test 141
- 7 One-way ANOVA 171
- 8 Threats to Your Experiment 191
- 9 Simple Linear Regression 213
- 10 Analysis of Covariance 241
- 11 Two-Way ANOVA 267
- 12 Statistical Power 293
- 13 Contrasts and Custom Hypotheses 319
- 14 Within-Subjects Designs 339
- 15 Mixed Models 357
- 16 Categorical Outcomes 379
- 17 Going beyond this course 407
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Data for the book
hseltman.data.zip
(13.88 KB)
本附件包括:- background.sav
- CarNoise.dat
- circle.sav
- circleWide.sav
- corn.dat
- EDA1.dat
- EDA2.dat
- EDA3.dat
- FecCort.sav
- GenericANCOVA.dat
- lethargy.dat
- LRex.dat
- mathGender.dat
- mathtest.dat
- MMvideo.txt
- MoralSent.dat
- MRdistract.dat
- osteoTall.sav
- osteoWide.sav
- Performance.dat
- pet4.sav
- qq.dat
- schools.txt