Understanding a Research Article

What is typically found on the title page of an academic research article?

• Abstract

• Literature review

• Title, authors and affiliations

• Research findings

The abstract of an academic article should include which of the following?

• a) Detailed analysis of results
  b) A discussion of the methodology
  c) A summary of the research objectives, methodology, and findings
  d) Full explanation of the literature revie

• A discussion of the methodology

• A summary of the research objectives, methodology and the findings

• Full explanation of the literature

In the introduction, the primary purpose is to

• Present detailed data

• Provide a rationale for the study and introduce the research question

• Discuss the study’s limitations

• Present the literature review in full

What is the purpose of the literature review in an academic research article

• To present the study’s results

• To describe the methodology used

• To summarise past research studies and identify research gaps

• To write the conclusion of the introduction part

Which of the following is NOT typically discussed in the methodology section?

• Research instruments

• Data collection procedures

• Data analysis procedures

• Research objectives

What does the 'Results' section of a research article focus on?

• Interpreting and analysing the data

• Presenting and summarising the data without interpretation

• Discussing the limitations of the study

• Reviewing the literature again

In the results section, the term “N” refers to which of the following?

• The total sample size

• The total number of participants in the study

• The total number of responses collected

• The toal population being studied

Which of the following statistical measures represents the average value of all responses?

• Standard deviation

• Mean (M or x̄)

• P-value

• Correlation

What does standard deviation (SD) tell us about the data?

• The degree of relationship between two variables

• The frequency of each response

• The percentage of statistically significant results

• How much individual data points deviate from the mean

A p-value of 0.02 means that the results have:

• A 2% chance of occurring due to random chance

• A 98% chance of being statistically significant

• A 98% chance of being random

• No statistical relevance