
Student Study Guide With IBM (R) SPSS (R) Workbook for Statistics for the Behavioral Sciences
Gregory J. Privitera(Author)
SAGE Publications Inc (Publisher)
3rd Edition
Published on 12. October 2017
Book
Paperback/Softback
978-1-5443-0599-8 (ISBN)
Description
The Student Study Guide With SPSS Workbook for Statistics for the Behavioral Sciences includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, helpful tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and "SPSS in Focus" exercises which complement those in the book.
More details
Edition
3rd 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
1185 gr
ISBN-13
978-1-5443-0599-8 (9781544305998)
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
Other editions
Previous edition

Gregory J. Privitera
Student Study Guide With SPSS Workbook for Statistics for the Behavioral Sciences
Book
10/2014
2nd Edition
SAGE Publications Inc
€58.37
Article exhausted; check for reprint
Person
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
Part I. Introduction and Descriptive Statistics
Introduction to Statistics
Summarizing Data: Frequency Distributions in Tables and Graphs
Summarizing Data: Central Tendency
Summarizing Data: Variability
Part II. Probability and the Foundations of Inferential Statistics
Probability
Probability, Normal Distributions, and z Scores
Probability and Sampling Distributions
Part III. Making Inferences About One or Two Means
Hypothesis Testing: Significance, Effect Size, and Power
Testing Means: One-Sample and Two-Independent-Sample t Tests
Testing Means: The Related-Samples t Test
Estimation and Confidence Intervals
Part IV. Making Inferences About the Variability of Two or More Means
Analysis of Variance: One-Way Between-Subjects Design
Analysis of Variance: One-Way Within-Subjects (Repeated-Measures) Design
Analysis of Variance: Two-Way Between-Subjects Factorial Design
Part V. Making Inferences About Patterns, Frequencies, and Ordinal Data
Correlation
Linear Regression and Multiple Regression
Nonparametric Tests: Chi-Square Tests
Nonparametric Tests: Tests for Ordinal Data
Introduction to Statistics
Summarizing Data: Frequency Distributions in Tables and Graphs
Summarizing Data: Central Tendency
Summarizing Data: Variability
Part II. Probability and the Foundations of Inferential Statistics
Probability
Probability, Normal Distributions, and z Scores
Probability and Sampling Distributions
Part III. Making Inferences About One or Two Means
Hypothesis Testing: Significance, Effect Size, and Power
Testing Means: One-Sample and Two-Independent-Sample t Tests
Testing Means: The Related-Samples t Test
Estimation and Confidence Intervals
Part IV. Making Inferences About the Variability of Two or More Means
Analysis of Variance: One-Way Between-Subjects Design
Analysis of Variance: One-Way Within-Subjects (Repeated-Measures) Design
Analysis of Variance: Two-Way Between-Subjects Factorial Design
Part V. Making Inferences About Patterns, Frequencies, and Ordinal Data
Correlation
Linear Regression and Multiple Regression
Nonparametric Tests: Chi-Square Tests
Nonparametric Tests: Tests for Ordinal Data