Cover image for Quantitative and statistical research methods : from hypothesis to results
Title:
Quantitative and statistical research methods : from hypothesis to results
Publication Information:
San Francisco : Jossey-Bass, 2012
Physical Description:
xviii, 476 p. : ill. ; 24 cm.
ISBN:
9780470631829
Title Subject:

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010241481 BF38.5 M349 2012 Open Access Book Book
Searching...

On Order

Summary

Summary

Quantitative and Statistical Research Methods

This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles.

Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to:

Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem

Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.


Author Notes

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.


Table of Contents

Tables and Figures
Preface The Authors
Chapter 1 Introduction and Overview
Review of Foundational Research Concepts Review of Foundational Statistical Information The Normal Distribution
Chapter 2 Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process
Hypothesis-Testing Process
Chapter 3 Maximizing Hypothesis Decisions Using Power Analysis
Balance between Avoiding Type I and Type II Errors
Chapter 4 Research and Statistical Designs
Formulating Experimental Conditions Reducing the Imprecision in Measurement Controlling Extraneous Experimental Influences Internal Validity and Experimental Designs
Chapter 5 Introduction to IBM SPSSp. 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
Chapter 6 Diagnosing Study Data for Inaccuracies and Assumptions
Research Example
Chapter 7 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
Step 1 Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing
Step 2 Establish the Null Hypothesis (H0) Hypothesis Testing
Step 3 Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing
Step 4 Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing
Step 5 Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing
Step 6 Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results
Chapter 8 Repeated-Treatment Design Using a Repeated-Measures Analysis of Variance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing
Step 1 Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing
Step 2 Establish the Null Hypothesis (H0) Hypothesis Testing
Step 3 Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing
Step 4 Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing
Step 5 Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing
Step 6 Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results
Chapter 9 Randomized Factorial Experimental Design Using a Factorial ANOVA Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing
Step 1 Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing
Step 2 Establish the Null Hypothesis (H0) Hypothesis Testing
Step 3 Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing
Step 4 Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing
Step 5 Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing
Step 6 Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results
Chapter 10 Analysis of Covariance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing
Step 1 Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing
Step 2 Establish the Null Hypothesis (H0) Hypothesis Testing
Step 3 Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing
Step 4 Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing
Step 5 Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing
Step 6 Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula ANCOVA Calculations of the Study Results ANCOVA Study Results
Chapter 11 Randomized Control Group and Repeated-Treatment Designs and Nonparametics Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing
Step 1 Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing
Step 2 Establish the Null Hypothesis (H0) Hypothesis Testing
Step 3 Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing
Step 4 Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing
Step 5 Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing
Step 6 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
Chapter 12 Bivariate and Multivariate Correlation Methods Using Multiple Regression Analysis Research Problem Study Variables Research Method Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing
Step 1 Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing
Step 2 Establish the Null Hypothesis (H0) Hypothesis Testing
Step 3 Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing
Step 4 Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing
Step 5 Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hand Calculations of Statistics
Chapter 13 Understanding Quantitative Literature and Research
Research Interpretation for Consumers Interpretation of a Quantitative Research Article
References Index