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Statistical Analysis "In Focus"
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Statistical Analysis "In Focus"
Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences

Third Edition


December 2017 | 280 pages | SAGE Publications, Inc

Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the “In Focus” exercises in Privitera’s core text. A conversational writing style along with “To The Student” introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.

 

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Bundle the guide with the core text, Statistics for the Behavioral Sciences, Third Edition, for only $5 more! Order using bundle ISBN 978-1-5443-3027-3. 

 

 
About the Authors
 
About This Supplemental Guide
 
PART I. ANALYSIS IN FOCUS: R
To the Student—How to Use R With This Book  
 
R in Focus
1.7 Entering and Defining Variables (p. 23)  
2.4 Frequency Distributions for Quantitative Data (p. 46)  
2.7 Frequency Distributions for Categorical Data (p. 51)  
2.12 Histograms, Bar Charts, and Pie Charts (p. 65)  
3.6 Mean, Median, and Mode (p. 98)  
4.11 Range, Variance, and Standard Deviation (p. 129)  
5.6 Probability Tables (p. 152)  
6.8 Converting Raw Scores to Standard z Scores (p. 193)  
7.7 Estimating the Standard Error of the Mean (p. 227)  
9.6 One-Sample t Test (p. 286)  
9.9 Two-Independent-Sample t Test (p. 297)  
10.4 The Related-Samples t Test (p. 317)  
11.5 Confidence Intervals for the One-Sample t Test (p. 347)  
11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)  
11.9 Confidence Intervals for the Related-Samples t Test (p. 353)  
12.8 The One-Way Between-Subjects ANOVA (p. 389)  
13.6 The One-Way Within-Subjects ANOVA (p. 423)  
14.8 The Two-Way Between-Subjects ANOVA (p. 474)  
15.4 Pearson Correlation Coefficient (p. 501)  
15.8 Spearman Correlation Coefficient (p. 512)  
15.10 Point-Biserial Correlation Coefficient (p. 517)  
15.12 Phi Correlation Coefficient (p. 522)  
16.7 Analysis of Regression (p. 551)  
16.13 Multiple Regression Analysis (p. 566)  
17.3 The Chi-Square Goodness-of-Fit Test (p. 586)  
17.9 The Chi-Square Test for Independence (p. 601)  
18.3 The Related-Samples Sign Test (p. 621)  
18.5 The Wilcoxon Signed-Ranks T Test (p. 626)  
18.7 The Mann-Whitney U Test (p. 632)  
18.9 The Kruskal-Wallis H Test (p. 637)  
18.11 The Friedman Test (p. 641)  
General Instruction Guide  
 
PART II. ANALYSIS IN FOCUS: SAS
To the Student—How to Use SAS With This Book  
 
SAS in Focus
1.7 Entering and Defining Variables (p. 23)  
2.4 Frequency Distributions for Quantitative Data (p. 46)  
2.7 Frequency Distributions for Categorical Data (p. 51)  
2.12 Histograms, Bar Charts, and Pie Charts (p. 65)  
3.6 Mean, Median, and Mode (p. 98)  
4.11 Range, Variance, and Standard Deviation (p. 129)  
5.6 Probability Tables (p. 152)  
6.8 Converting Raw Scores to Standard z Scores (p. 193)  
7.7 Estimating the Standard Error of the Mean (p. 227)  
9.6 One-Sample t Test (p. 286)  
9.9 Two-Independent-Sample t Test (p. 297)  
10.4 The Related-Samples t Test (p. 317)  
11.5 Confidence Intervals for the One-Sample t Test (p. 347)  
11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)  
11.9 Confidence Intervals for the Related-Samples t Test (p. 353)  
12.8 The One-Way Between-Subjects ANOVA (p. 389)  
13.6 The One-Way Within-Subjects ANOVA (p. 423)  
14.8 The Two-Way Between-Subjects ANOVA (p. 474)  
15.4 Pearson Correlation Coefficient (p. 501)  
15.8 Spearman Correlation Coefficient (p. 512)  
15.10 Point-Biserial Correlation Coefficient (p. 517)  
15.12 Phi Correlation Coefficient (p. 522)  
16.7 Analysis of Regression (p. 551)  
16.13 Multiple Regression Analysis (p. 566)  
17.3 The Chi-Square Goodness-of-Fit Test (p. 586)  
17.9 The Chi-Square Test for Independence (p. 601)  
18.3 The Related-Samples Sign Test (p. 621)  
18.5 The Wilcoxon Signed-Ranks T Test (p. 626)  
18.7 The Mann-Whitney U Test (p. 632)  
18.9 The Kruskal-Wallis H Test (p. 637)  
18.11 The Friedman Test (p. 641)  
General Instruction Guide  
 
PART III. ANALYSIS IN FOCUS: STATA
To the Student—How to Use Stata With This Book  
 
Stata in Focus
1.7 Entering and Defining Variables (p. 23)  
2.4 Frequency Distributions for Quantitative Data (p. 46)  
2.7 Frequency Distributions for Categorical Data (p. 51)  
2.12 Histograms, Bar Charts, and Pie Charts (p. 65)  
3.6 Mean, Median, and Mode (p. 98)  
4.11 Range, Variance, and Standard Deviation (p. 129)  
5.6 Probability Tables (p. 152)  
6.8 Converting Raw Scores to Standard z Scores (p. 193)  
7.7 Estimating the Standard Error of the Mean (p. 227)  
9.6 One-Sample t Test (p. 286)  
9.9 Two-Independent-Sample t Test (p. 297)  
10.4 The Related-Samples t Test (p. 317)  
11.5 Confidence Intervals for the One-Sample t Test (p. 347)  
11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)  
11.9 Confidence Intervals for the Related-Samples t Test (p. 353)  
12.8 The One-Way Between-Subjects ANOVA (p. 389)  
13.6 The One-Way Within-Subjects ANOVA (p. 423)  
14.8 The Two-Way Between-Subjects ANOVA (p. 474)  
15.4 Pearson Correlation Coefficient (p. 501)  
15.8 Spearman Correlation Coefficient (p. 512)  
15.10 Point-Biserial Correlation Coefficient (p. 517)  
15.12 Phi Correlation Coefficient (p. 522)  
16.7 Analysis of Regression (p. 551)  
16.13 Multiple Regression Analysis (p. 566)  
17.3 The Chi-Square Goodness-of-Fit Test (p. 586)  
17.9 The Chi-Square Test for Independence (p. 601)  
18.3 The Related-Samples Sign Test (p. 621)  
18.5 The Wilcoxon Signed-Ranks T Test (p. 626)  
18.7 The Mann-Whitney U Test (p. 632)  
18.9 The Kruskal-Wallis H Test (p. 637)  
18.11 The Friedman Test (p. 641)  
General Instruction Guide  
 
References
 
Index

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Gregory J. Privitera

Gregory J. Privitera is an associate professor of psychology at St. Bonaventure University. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo. He went on to complete postdoctoral research at Arizona State University before beginning his tenure at St. Bonaventure University. He is an author of multiple books on statistics, research methods, and the psychology of eating, in addition to authoring over two-dozen peer-reviewed scientific articles aimed at advancing our understanding of health and promoting the intake of healthier diets for children and adults. He... More About Author

Kristin Lee Sotak

Yu Lei

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