Types of Analysis in Research

Descriptive analysis in research is mainly used to:

• Test hypotheses

• Summarize data

• Infer population characteristics

• Predict outcomes

Inferential analysis is primarily concerned with:

• Describing data

• Generalizing from sample to population

• Collecting data

• Coding variables

The entire set of subjects of interest to a researcher is called:

• Sample

• Population

• Data set

• Variable

A carefully chosen subset of the population is called:

• Unit

• Sample

• Control group

• Variable

Sampling refers to:

• Selection of literature

• Choosing a subset of population for study

• Testing data analysis

• Hypothesis building

In phenomenology, redundancy is achieved when:

• Insights into experiences repeat

• All variables are tested

• Theories are validated

• Surveys are completed

In ethnography, data collection stops when:

• Bias appears

• No new cultural information emerges

• Sampling ends

• Statistics confirm reliability

Narrative analysis identifies:

• Literature gaps

• Similarity in stories

• Population size

• Ethical issues

Open-ended questions allow:

• Fixed responses

• Free responses without limits

• Statistical summaries only

• No respondent freedom

Closed questions require:

• Essay-type answers

• Selection from fixed alternatives

• Group discussion

• Observational notes