M2 - Post Task (Validity & Reliability Testing + Accurate data)

What does validity in research refer to?

• The extent to which a study accurately measures what it intends to.

• The consistency of results over time.

• The degree to which a study can be generalized to a larger population.

• The statistical significance of research findings.

Reliability in research is best defined as:

• The ability to replicate the study and obtain consistent results.

• The accuracy of the measuring instrument.

• The representativeness of the sample.

• The relevance of the research question.

Internal validity refers to:

• The extent to which study findings can be generalized.

• The consistency of measurement tools.

• The degree to which a study accurately reflects the relationship between variables.

• The reliability of the study design.

Which of the following is an example of external validity?

• A study produces consistent results over multiple trials.

• Findings from a study can be applied to other populations.

• The research design is free from bias.

• The study measures what it intends to measure.

Test-retest reliability assesses:

• The consistency of results across different measurement tools.

• The stability of test scores over time.

• The internal consistency of a test.

• The ability of the study to replicate findings.

Which of the following is a potential threat to internal validity in experimental research?

• Random assignment.

• Selection bias.

• Pilot testing.

• Descriptive statistics.

What is the importance of transparency in reporting research findings?

• It increases the likelihood of obtaining informed consent.

• It enhances the credibility and replicability of the study.

• It ensures that the study is free from bias.

• It simplifies the data analysis process.

Why is accuracy crucial in data collection for research?

• It ensures the data is collected quickly.

• It enhances the external validity of the study.

• It increases the likelihood of obtaining significant results.

• It improves the reliability of the measurement.

What is the potential consequence of inaccurate data in research?

• Improved generalizability.

• Increased statistical power.

• Biased findings and incorrect conclusions.

• Simplified data analysis.

How can researchers enhance the accuracy of self-reported data?

• Encouraging participants to guess their responses.

• Using leading questions to guide participants.

• Ensuring clear and unbiased survey instructions.

• Allowing participants to skip questions.