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Essential Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences 2nd Revised edition [Mīkstie vāki]

(St. Bonaventure University), (SUNY, Old Westbury, USA), (SUNY, Oswego)
  • Formāts: Paperback / softback, 216 pages, height x width: 254x203 mm, weight: 440 g
  • Izdošanas datums: 31-Aug-2018
  • Izdevniecība: SAGE Publications Inc
  • ISBN-10: 1544325843
  • ISBN-13: 9781544325842
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Essential Statistical Analysis In Focus: Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences 2nd Revised editionPalielināt
  • Formāts: Paperback / softback, 216 pages, height x width: 254x203 mm, weight: 440 g
  • Izdošanas datums: 31-Aug-2018
  • Izdevniecība: SAGE Publications Inc
  • ISBN-10: 1544325843
  • ISBN-13: 9781544325842
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781544325842.html
Keywords:
This guide is for students using Privitera's Essential Statistics for the Behavioral Sciences but need resources for statistical problems that it does not teach. In particular, the core textbook uses the proprietary SPSS statistical software throughout, but many students and instructors today are bypassing the conventional corporate software and using alternative software they find preferable. Privitera, Sotak, and Lei show them how to translate the techniques from Essentials first into R, then into SAS, and finally into Stata. Annotation ©2018 Ringgold, Inc., Portland, OR (protoview.com)

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.


About the Authors viii
About This Supplemental Guide x
PART I ANALYSIS IN FOCUS: R
R in Focus
Page numbers for corresponding sections in Essential Statistics for the Behavioral Sciences, Second Edition, are included in parentheses
To the Student---How to Use R With This Book
3(63)
1.7 Entering and Defining Variables (p. 24)
13(3)
2.4 Frequency Distributions for Quantitative Data (p. 47)
16(4)
2.7 Frequency Distributions for Categorical Data (p. 52)
20(2)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
22(2)
3.6 Mean, Median, and Mode (p. 94)
24(3)
4.10 Range, Variance, and Standard Deviation (p. 124)
27(2)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
29(3)
6.6 Estimating the Standard Error of the Mean (p. 178)
32(1)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
33(3)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
36(3)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
39(2)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
41(8)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
49(3)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
52(6)
13.4 Pearson Correlation Coefficient (p. 419)
58(2)
13.7 Computing the Alternatives to Pearson (p. 432)
60(1)
13.11 Analysis of Regression (p. 445)
61(3)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
64(1)
14.7 The Chi-Square Test for Independence (p. 480)
65(1)
General Instructions Guide
66(3)
PART II ANALYSIS IN FOCUS: SAS
SAS in Focus
Page numbers for corresponding sections in Essential Statistics for the Behavioral Sciences, Second Edition, are included in parentheses
To the Student---How to Use SAS With This Book
69(51)
1.7 Entering and Defining Variables (p. 24)
78(7)
2.4 Frequency Distributions for Quantitative Data (p. 47)
85(2)
2.7 Frequency Distributions for Categorical Data (p. 52)
87(2)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
89(2)
3.6 Mean, Median, and Mode (p. 94)
91(2)
4.10 Range, Variance, and Standard Deviation (p. 124)
93(2)
5.10 Converting Raw Scores to Standard 2 Scores (p. 155)
95(1)
6.6 Estimating the Standard Error of the Mean (p. 178)
96(2)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
98(2)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
100(2)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
102(2)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
104(3)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
107(3)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
110(3)
13.4 Pearson Correlation Coefficient (p. 419)
113(1)
13.7 Computing the Alternatives to Pearson (p. 432)
114(1)
13.11 Analysis of Regression (p. 445)
115(2)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
117(2)
14.7 The Chi-Square Test for Independence (p. 480)
119(1)
General Instructions Guide
120(3)
PART III ANALYSIS IN FOCUS: STATA
Stata in Focus
Page numbers for corresponding sections in Essential Statistics for the Behavioral Sciences, Second Edition, are included in parentheses
To the Student---How to Use Stata With This Book
123(65)
1.7 Entering and Defining Variables (p. 24)
129(5)
2.4 Frequency Distributions for Quantitative Data (p. 47)
134(3)
2.7 Frequency Distributions for Categorical Data (p. 52)
137(2)
2.11 Histograms, Bar Charts, and Pie Charts (p. 62)
139(2)
3.6 Mean, Median, and Mode (p. 94)
141(4)
4.10 Range, Variance, and Standard Deviation (p. 124)
145(2)
5.10 Converting Raw Scores to Standard z Scores (p. 155)
147(2)
6.6 Estimating the Standard Error of the Mean (p. 178)
149(2)
8.8 One-Sample t Test and Confidence Intervals (p. 244)
151(4)
9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270)
155(5)
10.7 The Related-Samples t Test and Confidence Intervals (p. 298)
160(4)
11.5 The One-Way Between-Subjects ANOVA (p. 332)
164(7)
11.9 The One-Way Within-Subjects ANOVA (p. 348)
171(4)
12.7 The Two-Way Between-Subjects ANOVA (p. 393)
175(3)
13.4 Pearson Correlation Coefficient (p. 419)
178(2)
13.7 Computing the Alternatives to Pearson (p. 432)
180(1)
13.11 Analysis of Regression (p. 445)
181(3)
14.3 The Chi-Square Goodness-of-Fit Test (p. 468)
184(3)
14.7 The Chi-Square Test for Independence (p. 480)
187(1)
General Instructions Guide
188(7)
References 195(2)
Index 197
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 Oprahs 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.