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Informationen zum Autor 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. Klappentext Quantitative and Statistical Research MethodsThis 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 problemQuantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects. Zusammenfassung Quantitative and Statistical Research Methodsoffers a guide for psychology, counseling, and education students in the use of statistics and research designs, combined with guidance on using SPSS in the course of their research. Inhaltsverzeichnis Tables and Figures ix Preface xvii The Authors xix Chapter 1 Introduction and Overview 1 Review of Foundational Research Concepts 3 Review of Foundational Statistical Information 6 The Normal Distribution 14 Chapter 2 Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process 29 Hypothesis-Testing Process 30 Chapter 3 Maximizing Hypothesis Decisions Using Power Analysis 39 Balance between Avoiding Type I and Type II Errors 41 Chapter 4 Research and Statistical Designs 53 Formulating Experimental Conditions 54 Reducing the Imprecision in Measurement 55 Controlling Extraneous Experimental Influences 57 Internal Validity and Experimental Designs 59 Choosing a Statistic to Use for an Analysis 67 Chapter 5 Introduction to IBM SPSS 20 77 The IBM SPSS 20 Data View Screen 80 Naming and Defining Variables in Variable View 80 Entering Data 86 Examples of Basic Analyses 87 Examples of Modifying Data Procedures 96 Chapter 6 Diagnosing Study Data for Inaccuracies and Assumptions 99 Research Example 100 Chapter 7 Randomized Design Comparing Two Treatments and a Control Using a One-Way Analysis of Variance 129 Research Problem 130 Study Variables 131 Research Design 133 Stating the Omnibus (Comprehensive) Research Question 135 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 136 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 137 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 138 ...
