Critical Review Guidelines for Quantitative Studies Research Awareness

The Title and Abstract

• Is the title of the research paper congruent with the text?
• Were the aims and/or objectives stated? What are they?
• Did the abstract contain sufficient information about the key stages of the research process (e.g. aims, hypothesis, research approach, sample, instruments and findings)?

Structuring the Study

• Is the motivation for the study demonstrated through the literature review?
• Is the literature cited current, relevant and comprehensive? Are the references recent? Are stated limitations and gaps in the reviewed literature appropriate and convincing?
• How was the investigation carried out?
• Is the hypothesis stated?
• When the hypothesis is stated: the scientific hypothesis or the null hypothesis?
• Does the hypothesis indicate that the researcher is interested in testing for differences between groups or in testing for relationships?

The Sample

• Is the sample described?
• Is the sample size large enough to prevent an extreme score from skewing the summary statistics used?
• How was the sample size determined?
• Was the sample size appropriate for the analyses used?

Data Collection

• How were the data collected (questionnaires or other data collection tools)?
• Who collected the data?
• Are the data collection tools described?
• What is the origin of the measurement instruments?
• Are the instruments adequately described?
• How were the data collection instruments validated?
• How was the reliability of the measurement instruments assessed?
• Were ethical issues discussed?

Data Analysis

• Are descriptive or inferential statistics reported?
• Were appropriate statistics used (e.g. parametric or non-parametric)?
• Were both descriptive statistics/inferential statistics appropriate to the level of measurement for each variable?
• Were appropriate tests used to analyse the data?
• What is the level of measurement chosen for the independent and dependent variables?
• Are the chosen tests appropriate for the research question or hypothesis?
• Were appropriate summary statistics for each major variable?
• Are the descriptive statistics primarily descriptive, correlational, or inferential?
• Identify the outcome of each statistical analysis.
• Explain the meaning of each outcome.

Findings

• Were the findings expected? Which findings were not expected?
• Is there enough information present to judge the significance of the results?
• Are the results clearly and completely stated?
• Describe the researcher’s concern for the utility of the findings.
• Were sufficient graphs or tables included to describe the findings?
• Did they support the text?
• Was the study replicable?
• Were sufficient background information and justification for the research reported in the report to permit replication of the study?

Mentor-Guided Approach  Step-by-Step

This section describes how an academic mentor guided the student through the critical review, step by step. The mentor’s role combined teaching evaluation criteria, modelling how to critique, and providing targeted feedback.

Step 1  Clarify the task and select the paper

• Mentor ensured the student understood the assessment brief and the required checklist headings.

• Together they selected a suitable quantitative article (recent, peer-reviewed, relevant to the unit topic).

Step 2 Read strategically

• Mentor showed the student a reading strategy: first skim title/abstract, then read methods and results in detail, then revisit intro/discussion.

• Emphasis on extracting aims, hypotheses, sample details, instruments, and statistical tests.

Step 3  Title and abstract appraisal

• Mentor modelled how to judge whether the title and abstract accurately encapsulate the study.

• Student practiced summarising aims and key elements succinctly for their review.

Step 4  Evaluate literature framing and hypothesis

• Mentor checked the literature review section with the student: are gaps established; is the rationale convincing?

• Student identified whether hypothesis was explicit and whether it addressed differences or relationships.

Step 5  Assess sampling and sample justification

• Mentor explained principles of sampling, power and effect size; reviewed how to judge if sample size is sufficient for the analyses.

• Student examined inclusion/exclusion criteria, demographic reporting, and sampling procedure (probability vs convenience).

Step 6  Critique data collection and measurement

• Mentor taught how to evaluate measurement instruments: origin, validity (content/construct), reliability (Cronbach’s alpha/test–retest), and cultural appropriateness.

• Student located instrument references, validation studies, and any missing information to note.

Step 7  Analyse statistical methods

• Mentor reviewed common tests (t-tests, ANOVA, chi-square, regression) and when parametric vs non-parametric tests are appropriate.

• Student mapped each research question/hypothesis to the statistical test used and judged appropriateness.

Step 8  Interpret results and findings

• Mentor guided the student to interpret effect sizes, confidence intervals, p-values, and practical significance (not just statistical significance).

• Student evaluated whether tables/figures supported the text and whether the discussion over- or under-stated the results.

Step 9  Judge ethics, replicability and limitations

• Mentor prompted the student to look for IRB/ethics statements, consent procedures, data handling, and discussion of limitations.

• Student assessed whether sufficient methodological detail existed to permit replication.

Step 10  Drafting and feedback

• Student drafted the review using the checklist headings.

• Mentor provided targeted feedback: improve clarity of critique, strengthen justification for judgments, add references to methodological texts, and correct wording/academic tone.

• Student revised and produced final submission.

Final Outcome and Learning Objectives Covered

Final product

• A structured critical review covering Title & Abstract, Structuring, Sample, Data Collection, Data Analysis, and Findings.

• Balanced conclusions summarising study strengths, methodological limitations, implications for practice/research, and suggestions for improvement or replication.

• Proper academic style, clear argumentation, and correct referencing (per unit requirements).

What was achieved

• Student demonstrated capacity to evaluate a quantitative study systematically using accepted criteria.

• Student produced evidence-based judgements (e.g., on sampling adequacy, instrument validity, appropriateness of statistical tests).

• Student articulated clear recommendations for how the study could be improved or extended.

Learning objectives met

1. Research literacy: Locate and extract key methodological information from a quantitative article.

2. Critical appraisal skills: Apply structured criteria to evaluate design, measures, analysis and reporting.

3. Statistical reasoning: Identify appropriate statistical methods and interpret their outcomes in context.

4. Ethical awareness: Recognise ethical considerations and reporting standards required in quantitative research.

5. Academic communication: Present coherent, evidence-based critique in scholarly style with proper referencing.

6. Replication awareness: Judge the replicability of a study and suggest practical steps to enhance reproducibility.

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