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Short description This 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. It explores the areas of design and causation--allowing readers to pose, test, and interpret research questions with live data. By integrating exercises and worksheets, the book allows readers to examine real world data from various fields of research--making it an ideal text for professionals and upper-level students involved in the social sciences.
From the contents Preface 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
