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Statistical Analysis In Focus Gregory J. Privitera

Statistical Analysis In Focus By Gregory J. Privitera

Statistical Analysis In Focus by Gregory J. Privitera


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Statistical Analysis In Focus Summary

Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences by Gregory J. Privitera

Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences, Third Edition 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. Gregory J. Privitera, Kristin Lee Sotak, and Yu Lei's 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.

About Gregory J. Privitera

Gregory J. Privitera is 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. He is a national award-winning author and research scholar. His textbooks span across diverse topics in psychology and the behavioral sciences, including two introductory psychology texts (one upcoming), four statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and well-being. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health and well-being. He research has earned recognition by the American Psychological Association, and in media and press to include Oprah's Magazine, Time Magazine, and the Wall Street Journal. 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 three children: a daughter, Grace Ann, and two sons, Aiden Andrew and Luca James.

Table of Contents

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

Additional information

CIN1544305605VG
9781544305608
1544305605
Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences by Gregory J. Privitera
Used - Very Good
Paperback
SAGE Publications Inc
20180726
280
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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