Below are some key concepts with which students will need to be familiar to understand the basics of research methodology:

Source: Fraenkel, J.R., and Wallen N.E. How to Design and Evaluate Research in Education (Sixth Edition)


Sampling

Sampling:

- Samples and Populations

- Defining a population

- Target vs. Accessible Populations

- Random vs. Nonrandom Sampling

Random Sampling Methods:

- Simple Random Sampling

- Stratified Random Sampling

- Cluster Random Sampling

- Two-Stage Random Sampling

Nonrandom Sampling Methods:

- Systematic Sampling

- Convenience Sampling

- Purposive Sampling

Sampling Methods Review:

- Sample Size

- External Validity: Generalizing from a Sample

- Population Generalizabilty

- When Random Sampling is not feasible

- Ecological Generalizability

Instrumentation

Instrumentation:

- What are Data?

- Validity, Reliability, and Objectivity

Examples of Data-Collection Instruments:

- Researcher-Completed Instruments

- Subject-Completed Instruments

- Unobtrusive measures

Types of scores (raw and derived)

Norm-Referenced vs. Criterion-Referenced Instruments

Measurement Scales

- Nominal Scales

- Ordinal Scales

- Interval Scales

- Ratio Scales

Preparing Data for Analysis:

- Scoring the Data

- Tabulating and Coding the Data

Validity and Reliability

Validity:

- Content-Related Evidence

- Criterion-Related Evidence

- Construct-Related Evidence

Reliability:

- Errors of Measurement

- Test-Retest Method

- Equivalent-Forms Method

- Internal-Consistency Methods

- The Standard Error of Measurement (SEQ)

- Scoring Agreement

- Validity and Reliability in Qualitative Research

Internal Validity

Threats to Internal Validity:

- Subject Characteristics

- Loss of Subjects (Mortality)

- Location

- Instrumentation

- Testing

- History

- Maturation

- Attitude of Subjects

- Regression
 
How can a researcher minimize threats to internal validity?