Description
Book SynopsisThis introductory guide provides a fresh approach to integrating design and statistics in a hands-on fashion that incorporates the power of SPSS (R) software to solve real-world problems.
Trade Review“This is a good book on designing good research studies and using statistical and analytical tools to measure their results accurately.” (Biz India, 22 April 2013)
Table of ContentsPreface xvii
Acknowledgments xix
PART I WHEEL OF SCIENCE: PREMISES OF RESEARCH 1
1 "DUH" SCIENCE VERSUS "HUH" SCIENCE 3
2 THEORIES AND HYPOTHESES 21
3 OBSERVATION AND EMPIRICAL GENERALIZATION 35
4 ETHICS 52
PART II WHEEL OF SCIENCE: PROCEDURES OF RESEARCH 63
5 MEASUREMENT 65
6 USING SPSS IN RESEARCH 83
7 CHI-SQUARE AND CONTINGENCY TABLE ANALYSIS 90
8 LEARNING FROM POPULATIONS: CENSUSES AND SAMPLES 102
9 CORRELATION 127
10 REGRESSION 146
11 CAUSATION 162
PART III WHEEL OF SCIENCE: DESIGNS OF RESEARCH 203
12 SURVEY RESEARCH 205
13 AGGREGATE RESEARCH 234
14 EXPERIMENTS 251
15 STATISTICAL METHODS OF DIFFERENCE: T TEST 270
16 ANALYSIS OF VARIANCE 280
17 FIELD RESEARCH 301
18 CONTENT ANALYSIS 316
PART IV STATISTICS AND DATA MANAGEMENT 327
STATISTICAL PROCEDURES UNIT A: WRITING THE STATISTICAL RESEARCH SUMMARY 329
STATISTICAL PROCEDURES UNIT B: THE NATURE OF INFERENTIAL STATISTICS 333
DATA MANAGEMENT UNIT A: USE AND FUNCTIONS OF SPSS 343
DATA MANAGEMENT UNIT B: USING SPSS TO RECODE FOR T TEST 357
DATA MANAGEMENT UNIT C: DESCRIPTIVE STATISTICS 364
STATISTICAL PROCEDURES UNIT C: Z SCORES 389
Glossary 397
Bibliography 411
Index 416
