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Statistics for the Behavioral Sciences: A Short Course and Student Manual [Mīkstie vāki]

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  • Formāts: Paperback / softback, 294 pages, height x width x depth: 216x143x21 mm, weight: 354 g
  • Izdošanas datums: 30-Dec-2003
  • Izdevniecība: University Press of America
  • ISBN-10: 0761827501
  • ISBN-13: 9780761827504
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Statistics for the Behavioral Sciences: A Short Course and Student ManualPalielināt
  • Formāts: Paperback / softback, 294 pages, height x width x depth: 216x143x21 mm, weight: 354 g
  • Izdošanas datums: 30-Dec-2003
  • Izdevniecība: University Press of America
  • ISBN-10: 0761827501
  • ISBN-13: 9780761827504
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780761827504.html
Keywords:
This manual can be used as a supplement to any text in a course in statistics which focuses on behavioral sciences issues, such as psychology, criminal justice, and business. The manual outlines important concepts and formulas covered in an introductory behavioral sciences statistics course, and includes sample problems and printouts for those courses which make use of the statistical computer package SPSS. Coverage progresses from organization of data through nonparametric procedures. Author information is not given, and there is no subject index. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

Statistics for the Behavioral Sciences is a short course and student manual in statistics for the behavioral sciences. It is comprehensive, in that it contains all information necessary to learn basic statistical analysis, with a focus on the use of statistics for behavioral sciences research. Emphasis is placed on a clear presentation of statistical formulas, appropriateness of particular tests, and outcome analysis. Author Bryan Raudenbush presents theory statistical procedures and practical application, using a module approach to provide a concise summary of the necessary data requirements, statistical procedures, and outcome interpretation. The workbook format of the text allow for students to complete examples and exercises within the pages of the textbook.

Statistics for the Behavioral Sciences is a short course and student manual in statistics for the behavioral sciences. It is comprehensive, in that it contains all information necessary to learn basic statistical analysis, with a focus on the use of statistics for behavioral sciences research. The workbook format of the text allow for students to complete examples and exercises within the pages of the textbook.
LIST OF TABLES ix
LIST OF FIGURES xi
PREFACE xiii
MODULE I: INTRODUCTION TO STATISTICS 1(16)
The Scientific Method
2(1)
Two Main Methods in Statistical Analysis
3(3)
Basic Terminology
6(5)
Measurement
11(4)
Additional Activities
15(2)
MODULE II: ORGANIZATION OF DATA 17(20)
Numerical Representations
18(7)
Graphical Representations
25(6)
Describing Distributions
31(5)
Additional Activities
36(1)
MODULE III: MEASURES OF CENTRAL TENDENCY 37(6)
The Mode
37(1)
The Median
38(2)
The Mean
40(1)
Integration
41(1)
Additional Activities
42(1)
MODULE IV: MEASURES OF VARIABILITY 43(6)
The Range
43(1)
The Variance
44(3)
The Standard Deviation
47(1)
Additional Activities
48(1)
MODULE V: STANDARDIZED SCORES AND THE NORMAL DISTRIBUTION 49(18)
Properties of the Normal Distribution
49(2)
Finding Areas Under the Normal Curve
51(12)
Using z-scores as a Basis for Comparison
63(2)
Additional Activities
65(2)
MODULE VI: CORRELATION AND REGRESSION 67(22)
Describing Relationships
67(5)
Covariance
72(2)
Correlation
74(4)
Proportion of Variance Accounted For
78(2)
Regression and the Line of Best Fit
80(6)
Additional Activities
86(3)
MODULE VII: SAMPLES, SAMPLING DISTRIBUTIONS, CONFIDENCE INTERVALS, AND EFFECT SIZES FOR ONE-SAMPLE TESTS WITH N>100 89(18)
Sampling and Estimation
89(1)
Sampling Distributions
90(4)
Inferential Statistics and Hypothesis Testing with N> 100
94(6)
Confidence Intervals
100(2)
Effect Size
102(3)
Additional Activities
105(2)
MODULE VIII: PRINCIPLES OF STATISTICAL POWER ANALYSIS AND DECISION MAKING 107(4)
Types of Decision Errors
107(2)
Principles of Statistical Power Analysis
109(2)
MODULE IX: SAMPLES, SAMPLING DISTRIBUTIONS, CONFIDENCE INTERVALS, AND EFFECT SIZES FOR ONE-SAMPLE TESTS WITH N less than 100 111
The t Distribution
111(2)
Testing Hypotheses
113(4)
Confidence Intervals
117(1)
Effect Size
118(2)
Additional Activities
120(1)
MODULE X: INFERENCES ABOUT TWO INDEPENDENT SAMPLE MEANS 121(12)
Testing Hypotheses
121(2)
An Experimental Example
123(6)
Confidence Intervals
129(1)
Effect Size
130(1)
Additional Activities
131(2)
MODULE XI: INFERENCES ABOUT TWO RELATED SAMPLE MEANS 133(12)
When to Use a Related Means Design
133(1)
Advantages and Disadvantages of a Related Means Design
134(2)
Testing Hypotheses
136(1)
An Experimental Example
137(4)
Confidence Intervals
141(1)
Effect Size
142(1)
Additional Activities
143(2)
MODULE XII: ONE-BETWEEN ANALYSIS OF VARIANCE (ANOVA) 145(22)
Introduction
145(2)
Layout of the One-Between ANOVA
147(1)
Null and Alternative Hypotheses
148(1)
Partitioning the Sum of Squares and Variance
149(2)
The F-test in an ANOVA
151(1)
An Experimental Example
152(2)
The ANOVA Table
154(4)
Post Hoc Tests and Comparisons
158(7)
Additional Activities
165(2)
MODULE XIII: ONE-WTTHIN ANALYSIS OF VARIANCE (ANOVA) 167(16)
Introduction
167(1)
Layout of the One-Within ANOVA
168(1)
Partitioning the Sums of Squares
169(1)
Mean Squares and Degrees of Freedom
170(1)
An Experimental Example
171(5)
Post Hoc Comparisons
176(5)
Additional Activities
181(2)
MODULE XIV: TWO-BETWEEN ANALYSIS OF VARIANCE (ANOVA) 183(20)
Introduction
183(2)
Basic Layout of the Two-Between ANOVA
185(2)
Partitioning the Sum of Squares
187(1)
Mean Squares and the Degrees of Freedom
188(1)
An Experimental Example
189(12)
Additional Activities
201(2)
MODULE XV: CHI SQUARE (X2) TEST OF INDEPENDENCE 203(6)
The Logic of the Chi Square (X2)
203(1)
An Experimental Example
204(4)
Additional Activities
208(1)
MODULE XVI: NON PARAMETRIC PROCEDURES 209
Use of Non-parametric Procedures
209(1)
Mann-Whitney U Test or Wilcoxon Rank-Sum Test
209(4)
Wilcoxon Matched-Pairs Signed-Ranks T-test
213(3)
Wilcoxon-Wilcox Multiple Comparisons Test
216(4)
Spearman's Rho
220
APPENDIX A: STATISTICAL TABLES
APPENDIX B: SPSS PRINTOUTS
Bryan Raudenbush, Ph.D. is Assistant Professor of Psychology and Director of Undergraduate Research in the Psychology Department at Wheeling Jesuit University, West Virginia.