What is included with this book?
William E. Martin, EdD, is a professor and past chair of educational psychology in the College of Education, Northern Arizona University. He also served as senior scholar in the university's Faculty Research Center. His research areas are psychometric assessment, counselor development, psychosocial adjustment, and person-environment-based prevention and intervention methods.
Krista D. Bridgmon, PhD, is an assistant professor of psychology at Colorado State University-Pueblo. Her research areas are doctoral student attrition, stress and coping, school counseling, and sport psychology.
Tables and Figures | |
Preface The Authors | |
Introduction and Overview | |
Review of Foundational Research Concepts Review of Foundational Statistical Information The Normal Distribution | |
Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process | |
Hypothesis-Testing Process | |
Maximizing Hypothesis Decisions Using Power Analysis | |
Balance between Avoiding Type I and Type II Errors | |
Research and Statistical Designs | |
Formulating Experimental Conditions Reducing the Imprecision in Measurement Controlling Extraneous Experimental Influences Internal Validity and Experimental Designs | |
Introduction to IBM SPSS | p. 20 |
The IBM SPSS Data View Screen Naming and Defining Variables in Variable View Entering Data Examples of Basic Analyses Examples of Modifying Data Procedures | |
Diagnosing Study Data for Inaccuracies and Assumptions | |
Research Example | |
Randomized Design Comparing Two Treatments and a Control Using a One-Way | |
Analysis of Variance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |
Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |
Establish the Null Hypothesis (H0) Hypothesis Testing | |
Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |
Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |
Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |
Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results | |
Repeated-Treatment Design Using a Repeated-Measures Analysis of Variance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |
Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |
Establish the Null Hypothesis (H0) Hypothesis Testing | |
Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |
Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |
Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |
Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results | |
Randomized Factorial Experimental Design Using a Factorial ANOVA Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |
Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |
Establish the Null Hypothesis (H0) Hypothesis Testing | |
Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |
Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |
Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |
Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results | |
Analysis of Covariance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |
Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |
Establish the Null Hypothesis (H0) Hypothesis Testing | |
Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |
Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |
Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |
Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula ANCOVA Calculations of the Study Results ANCOVA Study Results | |
Randomized Control Group and Repeated-Treatment Designs and Nonparametics Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |
Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |
Establish the Null Hypothesis (H0) Hypothesis Testing | |
Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |
Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |
Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |
Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes Nonparametric Research Problem Two: Friedman's Rank Test for Correlated Samples and Wilcoxon's Matched-Pairs Signed-Ranks Test | |
Bivariate and Multivariate Correlation Methods Using Multiple Regression Analysis Research Problem Study Variables Research Method Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |
Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |
Establish the Null Hypothesis (H0) Hypothesis Testing | |
Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |
Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |
Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hand Calculations of Statistics | |
Understanding Quantitative Literature and Research | |
Research Interpretation for Consumers Interpretation of a Quantitative Research Article | |
References Index | |
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