Essential Statistical Analysis "In Focus"
Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences
2nd Edition
Published on 31. August 2018
Book
Paperback/Softback
216 pages
978-1-5443-2584-2 (ISBN)
Description
Essentials of Statistical Analysis "In Focus" supports users of Gregory J. Privitera's Essential Statistics for the Behavioral Sciences, Second Edition who work with a statistical program other than SPSS (R) or Excel (R). Three standalone parts, each dedicated to R, SAS (R), and Stata (R), 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 (R), and Stata (R) provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 254 mm
Width: 203 mm
Weight
436 gr
ISBN-13
978-1-5443-2584-2 (9781544325842)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Gregory J. Privitera is a three-time national-award-winning author and a professor of psychology at St. Bonaventure University where he is a recipient of its highest teaching honor, The Award for Professional Excellence in Teaching, and its highest honor for scholarship, The Award for Professional Excellence in Research and Publication. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo and continued with his postdoctoral research at Arizona State University. His texts span diverse topics in psychology and the behavioral sciences and include an introductory psychology text, three statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and analytics. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health, health literacy, and informing policy in health care. His research has earned recognition by the American Psychological Association and in media to include Oprah's Magazine, Time Magazine, and the Wall Street Journal. He mentors a variety of undergraduate research projects at St. Bonaventure University, where dozens of students, many of whom have gone on to earn graduate and doctoral degrees at various institutions, have coauthored and presented research work. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, is an identical twin, and is married with two daughters, Grace Ann and Charlotte Jane, and two sons, Aiden Andrew and Luca James.
Content
About the Authors
About This Supplemental Guide
PART I. ANALYSIS IN FOCUS: R
R in Focus
To the Student-How to Use R With This Book
1.7 Entering and Defining Variables (p. 24)
2.4 Frequency Distributions for Quantitative Data (p. 47)
2.7 Frequency Distributions for Categorical Data (p. 52)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
3.6 Mean, Median, and Mode (p. 94)
4.10 Range, Variance, and Standard Deviation (p. 124)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
6.6 Estimating the Standard Error of the Mean (p. 178)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
13.4 Pearson Correlation Coefficient (p. 419)
13.7 Computing the Alternatives to Pearson (p. 432)
13.11 Analysis of Regression (p. 445)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
14.7 The Chi-Square Test for Independence (p. 480)
General Instructions Guide
PART II. ANALYSIS IN FOCUS: SAS
SAS in Focus
To the Student-How to Use SAS With This Book
1.7 Entering and Defining Variables (p. 24)
2.4 Frequency Distributions for Quantitative Data (p. 47)
2.7 Frequency Distributions for Categorical Data (p. 52)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
3.6 Mean, Median, and Mode (p. 94)
4.10 Range, Variance, and Standard Deviation (p. 124)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
6.6 Estimating the Standard Error of the Mean (p. 178)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
13.4 Pearson Correlation Coefficient (p. 419)
13.7 Computing the Alternatives to Pearson (p. 432)
13.11 Analysis of Regression (p. 445)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
14.7 The Chi-Square Test for Independence (p. 480)
General Instructions Guide
PART III. ANALYSIS IN FOCUS: STATA
Stata in Focus
To the Student-How to Use Stata With This Book
1.7 Entering and Defining Variables (p. 24)
2.4 Frequency Distributions for Quantitative Data (p. 47)
2.7 Frequency Distributions for Categorical Data (p. 52)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
3.6 Mean, Median, and Mode (p. 94)
4.10 Range, Variance, and Standard Deviation (p. 124)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
6.6 Estimating the Standard Error of the Mean (p. 178)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
13.4 Pearson Correlation Coefficient (p. 419)
13.7 Computing the Alternatives to Pearson (p. 432)
13.11 Analysis of Regression (p. 445)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
14.7 The Chi-Square Test for Independence (p. 480)
General Instructions Guide
References
Index
About This Supplemental Guide
PART I. ANALYSIS IN FOCUS: R
R in Focus
To the Student-How to Use R With This Book
1.7 Entering and Defining Variables (p. 24)
2.4 Frequency Distributions for Quantitative Data (p. 47)
2.7 Frequency Distributions for Categorical Data (p. 52)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
3.6 Mean, Median, and Mode (p. 94)
4.10 Range, Variance, and Standard Deviation (p. 124)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
6.6 Estimating the Standard Error of the Mean (p. 178)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
13.4 Pearson Correlation Coefficient (p. 419)
13.7 Computing the Alternatives to Pearson (p. 432)
13.11 Analysis of Regression (p. 445)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
14.7 The Chi-Square Test for Independence (p. 480)
General Instructions Guide
PART II. ANALYSIS IN FOCUS: SAS
SAS in Focus
To the Student-How to Use SAS With This Book
1.7 Entering and Defining Variables (p. 24)
2.4 Frequency Distributions for Quantitative Data (p. 47)
2.7 Frequency Distributions for Categorical Data (p. 52)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
3.6 Mean, Median, and Mode (p. 94)
4.10 Range, Variance, and Standard Deviation (p. 124)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
6.6 Estimating the Standard Error of the Mean (p. 178)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
13.4 Pearson Correlation Coefficient (p. 419)
13.7 Computing the Alternatives to Pearson (p. 432)
13.11 Analysis of Regression (p. 445)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
14.7 The Chi-Square Test for Independence (p. 480)
General Instructions Guide
PART III. ANALYSIS IN FOCUS: STATA
Stata in Focus
To the Student-How to Use Stata With This Book
1.7 Entering and Defining Variables (p. 24)
2.4 Frequency Distributions for Quantitative Data (p. 47)
2.7 Frequency Distributions for Categorical Data (p. 52)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
3.6 Mean, Median, and Mode (p. 94)
4.10 Range, Variance, and Standard Deviation (p. 124)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
6.6 Estimating the Standard Error of the Mean (p. 178)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
13.4 Pearson Correlation Coefficient (p. 419)
13.7 Computing the Alternatives to Pearson (p. 432)
13.11 Analysis of Regression (p. 445)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
14.7 The Chi-Square Test for Independence (p. 480)
General Instructions Guide
References
Index