Essential Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences (2nd Revised edit

Essential Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences (2nd Revised edit

By: Kristin L. Sotak (author), Yu Lei (author), Gregory J. Privitera (author)Paperback

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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.

About Author

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 oversees a variety of undergraduate student research projects at St. Bonaventure University where over two-dozen students, many of whom are now earning graduate degrees at various institutions, have coauthored research in his laboratories. For his research work, Dr. Privitera was recognized by St. Bonaventure University as Advisor of the Year in 2013, and awarded an Early Career Psychologist award by the American Psychological Association in 2015. For his work with students and fruitful record of teaching, Dr. Privitera was recognized in 2014 with the Award for Professional Excellence in Teaching-the highest teaching award at St. Bonaventure University. The first edition of this text was a recipient of the "Most Promising New Textbook" National Award from the Text and Academic Authors Association. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, and is married with two children: a daughter, Grace, and a son, Aiden. Dr. Privitera is also the author of Statistics for the Behavioral Sciences, 2nd Edition.

Contents

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

Product Details

  • ISBN13: 9781544325842
  • Format: Paperback
  • Number Of Pages: 216
  • ID: 9781544325842
  • weight: 440
  • ISBN10: 1544325843
  • edition: 2nd Revised edition

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