Statistics for the Behavioral Sciences - Privitera, Gregory J.

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Résumé :
PART I. INTRODUCTION AND DESCRIPTIVE STATISTICS
1. Introduction to Statistics
1.1 The Use of Statistics in Science
1.2 Descriptive and Inferential Statistics
1.3 Research Methods and Statistics
1.4 Scales of Measurement
1.5 Types of Variables for Which Data Are Measured
1.6 SPSS in Focus: Entering and Defining Variables
2. Summarizing Data: Frequency Distributions in Tables and Graphs
2.1 Why Summarize Data?
2.2 Simple Frequency Distributions for Grouped Data
2.3 Other Ways of Summarizing Grouped Data in Frequency Distributions
2.4 Identifying Percentile Points and Percentile Ranks
2.5 SPSS in Focus: Frequency Distributions for Quantitative Data
2.6 Frequency Distributions for Ungrouped Data
2.7 SPSS in Focus: Frequency Distributions for Categorical Data
2.8 Pictorial Frequency Distributions
2.9 Graphing Distributions: Continuous Data
2.10 Stem-and-Leaf Displays
2.11 Graphing Distributions: Discrete and Categorical Data
2.12 SPSS in Focus: Histograms, Bar Charts, Pie Charts, and Stem-and-Leaf Displays
3. Summarizing Data: Central Tendency
3.1 Introduction to Central Tendency
3.2 Measures of Central Tendency: The Mean
3.3 Measures of Central Tendency: The Weighted Mean
3.4 Measures of Central Tendency: The Median and the Mode
3.5 Characteristics of the Mean
3.6 Choosing an Appropriate Measure of Central Tendency
3.7 SPSS in Focus: Mean, Median, and Mode
4. Summarizing Data: Variability
4.1 Introduction to Variability
4.2 The Range
4.3 Quartiles and Interquartiles
4.4 The Variance
4.5 The Computational Formula for Variance
4.6 Explaining Variance for Populations and Samples
4.7 The Standard Deviation
4.8 The Informativeness of Standard Deviation
4.9 SPSS in Focus: Range, Quartiles, Variance, and Standard Deviation
PART II. PROBABILITY AND THE FOUNDATIONS OF INFERENTIAL STATISTICS
5. Probability
5.1 Introduction to Probability
5.2 Probability and Relative Frequency
5.3 The Relationship Between Multiple Outcomes
5.4 Conditional Probabilities and Bayes's Theorem
5.5 SPSS in Focus: Probability Tables
5.6 Probability Distributions
5.7 The Mean of a Probability Distribution and Expected Value
5.8 The Variance and Standard Deviation of a Probability Distribution
5.9 Expected Value and the Binomial Distribution
6. Probability, Normal Distributions, and z Scores
6.1 Characteristics of the Normal Distribution
6.2 The Standard Normal Distribution and the z Transformation
6.3 The Unit Normal Table: A Brief Introduction
6.4 Locating Proportions
6.5 Locating Scores
6.6 SPSS in Focus: Converting Raw Scores to Standard z Scores
6.7 The Normal Approximation to the Binomial Distribution
7. Probability and Sampling Distributions
7.1 Selecting Samples From Populations
7.2 Selecting a Sample: Who's In and Who's Out?
7.3 Sampling Distributions: The Mean
7.4 Sampling Distributions: The Variance
7.5 The Standard Error of the Mean
7.6 Factors That Decrease Standard Error
7.7 SPSS in Focus: Estimating the Standard Error of the Mean
7.8 Standard Normal Transformations With Sampling Distributions
8. Hypothesis Testing: Significance, Effect Size, Estimation, and Power
8.1 The Informativeness of Evaluating Effects in Science
8.2 Inferential Statistics and Applying the Steps to Hypothesis Testing
8.3 Making a Decision: Types of Error
8.4 Testing for Significance: Examples Using the z Test
8.5 Measuring the Size of an Effect: Cohen's d
8.6 Confidence Intervals for the One-Sample z Test
8.7 Factors That Influen...

Biographie:

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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