rm2.6_measurement1.pptx

Chapter 6: Measurement Chapter Overview

Measurement in Research

Understanding the Basics of Measurement

Levels of Measurement

Determining the Level of Measurement

Issues of Measurement Error

Assessing Measurement Reliability and Validity

Chapter Learning Objectives

Understand the basic issues of measurement in social science research

Understand the core concept of levels of measurement

Learn to determine the appropriate level of measurement for a variable

Understand and identify the nature and sources of measurement error

Understanding the Basics of Measurement

Operationalization

Translating a concept of interest into a form that can be measured

Types of Variables

Qualitative vs. Quantitative measures

Dependent vs. Independent variables

Levels of Measurement

Nominal Variables

Race/ethnicity, colors

Ordinal Variables

Agree / disagree scales, ranked orders, variables with discrete categories

Interval (ratio) Variables

Temperature, age, income, any continuous variable

Determining the Level of Measurement

Challenges in recognizing which is the actual level of measurement for a given variable

Challenges in knowing which is the appropriate level of measurement to use for a variable in a given research situation

Issues of Measurement Error

Sources of measurement error:

Systematic measurement error: occurs when factors create error in the measuring process itself or errors influencing the concept being measured

Random measurement error: an error that is not directly related to the process of measuring a concept

Assessing Measurement Reliability and Validity

Validity assessment approach

Face validity

Content validity

Reliability assessment approach

Test—Retest

Intercoder checks