1. Basic Concepts in Research and DATA Analysis

Introduction: A Common Language for Researchers2
Steps to Follow When Conducting Research2
 The Research Question3
 The Hypothesis3
 Defining the Instrument, Gathering Data, Analyzing Data, and Drawing Conclusions4
Variables, Values, and Observations5
 Variables5
 Values5
 Quantitative Variables versus Classification Variables5
 Observational Units6
Scales of Measurement7
 Nominal Scales7
 Ordinal Scales7
 Interval Scales8
 Ratio Scales9
Basic Approaches to Research9
 Nonexperimental Research9
 Experimental Research11
Descriptive versus Inferential Statistical Analysis12
 Descriptive Analyses12
 Inferential Analyses13
Hypothesis Testing13
 Types of Inferential Tests14
 Types of Hypotheses15
 The p or Significance Value17
 Fixed Effects versus Random Effects18
Conclusion19

Overview

This chapter reviews basic concepts and terminology with respect to research design and statistics. Different types of variables that can be analyzed are described as well as the scales of measurement with which these variables are assessed. The chapter reviews the differences between nonexperimental and experimental research and the differences between descriptive and inferential analyses. Finally, basic concepts in hypothesis testing are presented. After completing this chapter, you should be familiar with the fundamental issues and terminology of data analysis. You will be prepared to begin learning about SAS in subsequent chapters.


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