Rowman & Littlefield Publishers

Pages: 248
•
Trim: 6 x 9

978-1-5381-0868-0 • Hardback • December 2018 • $104.00 • (£70.00)

978-1-5381-0869-7 • Paperback • December 2018 • $48.00 • (£32.95)

978-1-5381-0870-3 • eBook • December 2018 • $45.50 • (£31.95)

John H. Kranzler is professor and director of the School Psychology Program in the School of Special Education, School Psychology, and Early Childhood Studies at the University of Florida.

Marissa P. Levy is a professor of criminal justice and interim dean in the School of Social and Behavioral Sciences at Stockton University.

Preface

Acknowledgments

Section I

Essentials for Statistics1 Effective Strategies for Studying Statistics

Self-assessment

Assumptions about the Reader

Effective Strategies for Studying Statistics2 Overcoming Math Anxiety

What Causes Math Anxiety?

Overview of Rational Emotive Therapy

Irrational Beliefs

How to Deal with Math Anxiety3 How to Use SPSS

What is SPSS?

Starting SPSS

Basic Steps in SPSS Data Analysis

Entering Data

Selecting an Analysis

Running an Analysis and Examining Results

Finding Help in SPSS

Section II

Describing Univariate Data4 Frequency Distributions

What are statistics?

Variables

Levels of Measurement

Frequency Distributions

Grouped Frequency Distributions

Graphing Data

Frequency Polygon

Histogram

Cumulative Frequency Polygon

Normal Curve

Skewed and Multimodal Distributions

Problems

Answers to Problems5 Descriptive Statistics

What are statistics?

Measures of Central Tendency

Selecting a Measure of Central Tendency

Measures of variability

Problems

Answers to Problems6 The Normal Curve

What is the Normal Curve?

The Normal Curve as a Model

Proportions of Scores Under the Normal Curve

Problems

Answers to Problems7 Percentiles and Standard Scores

Percentiles

Standard Scores (Z score)

Other Standard Scores

T Scores

Converting Standard Scores to Percentiles

A Word of Warning

Problems

Answers to Problems

Section III

Inferential Statistics8 Introduction to Inferential Statistics

Probability

The Sampling Experiment

Sample Values (Statistics) and Population Values (Parameters)

The Null HypothesisType I and Type II Errors

Statistical Significance and Type I Error

Effect Size and Power

Problems

Answers to Problems9 The t Test

The t Test for Independent Samples

Assumptions for Using the t Test for Independent Samples

Formula for the t Test for Independent Samples

The Critical Value of t: t_{crit}_{}Effect Size for the t Test for Independent Samples

The t Test for Dependent (Matched/Paired) Samples

Directional Versus Nondirectional Tests

Problems

Answers to Problems10 Analysis of Variance (ANOVA)

Analysis of Variance

Assumptions for using ANOVA

Conducting an ANOVA in SPSS

Strength of Association

Post hoc Analysis

The Scheffé Method of Post-Hoc Analysis

ProblemsAnswers to Problems11 Nonparametric Statistics: Chi-square

Nonparametric Statistical Tests

The One-way Test of Chi-square ()

The Two-way Test of Chi-square ()

Effect Size for Chi-Square Tests of Independence

A Bit More

Problems

Answers to Problems

Section IV

Correlation Coefficients and Linear Regression12 Correlation Coefficients

Correlation Coefficients

Pearson Product-Moment Correlation Coefficient

Interpreting Correlation Coefficients

Sources of Misleading Correlation Coefficients

Creating a Scatterplot

Other Methods of Correlation

Spearman Rank Correlation Coefficient

Problems

Answers to Problems13 Linear RegressionRegression Equations

Standard Error of the Estimate

Problems

Answers to Problems14 Postscript

Congratulations!

Review of BookAppendices

A Basic Math Review

B Proportions of Area Under the Standard Normal Curve

C Critical Values of t

D Glossary of Formulas

Index