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

Privitera Gregory J. Sotak, Kristin L. Lei Yu
Heftet / 2018 / Engelsk

Produktdetaljer

ISBN
9781544325842
Publisert
2018-08-31
Utgave
2. utgave
Utgiver
SAGE Publications Inc
Vekt
440 gr
Høyde
254 mm
Bredde
203 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
216

Forfatter
Privitera Gregory J.
Sotak, Kristin L.
Lei Yu

Biografisk notat

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.   

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

Privitera Gregory J. Sotak, Kristin L. Lei Yu
Heftet / 2018 / Engelsk
Privitera Gregory J. Sotak, Kristin L. Lei Yu
Heftet / 2018 / Engelsk
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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® 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.

Les mer
An alternate workbook to accompany Essential Statistics for the Behavioral Sciences, Second Edition, this text helps students to practice their skills and offers ‘In Focus’ sections for those using R, SAS or STATA as opposed to SPSS or Excel.
Les mer
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
Les mer

Relaterte produkter

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® 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.

Les mer
An alternate workbook to accompany Essential Statistics for the Behavioral Sciences, Second Edition, this text helps students to practice their skills and offers ‘In Focus’ sections for those using R, SAS or STATA as opposed to SPSS or Excel.
Les mer
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
Les mer

Produktdetaljer

ISBN
9781544325842
Publisert
2018-08-31
Utgave
2. utgave
Utgiver
SAGE Publications Inc
Vekt
440 gr
Høyde
254 mm
Bredde
203 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
216

Forfatter
Privitera Gregory J.
Sotak, Kristin L.
Lei Yu

Biografisk notat

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.   

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