GUIDELINES FOR PEER REVIEWERS
The reviewers should ensure that the manuscripts conform to the following
1. PROBLEM STATEMENT, CONCEPTUAL FRAMEWORK, AND RESEARCH QUESTION(S)
- The introduction builds a logical case and context for the problem statement.
- The problem statement is clear and well-articulated. iii. The conceptual framework is explicit and justified.
- The research question(s) /hypothesis (where applicable) should be clear, concise, and complete.
- The variables being investigated are clearly identified and presented.
2. LITERATURE REVIEW
- The literature review is up-to-date.
- The number of references is appropriate.
- The review of the literature is well integrated. iv. The references are mainly primary sources.
- Ideas are acknowledged appropriately and accurately.
- The literature is analyzed and critically appraised
- The literature is relevant to the themed literature addresses important problems or issues.
- The study adds to the literature already available on the subject.
3. RESEARCH METHODOLOGY
a) Research Design
- The research design is clearly defined, described, and sufficiently detailed to permit the study to be replicated.
- The design is appropriate to the research question/hypothesis.
- The design has both internal validity i.e. biasness is addressed and external validity.
- The design allows for unexpected outcomes or events to occur.
- The design and conduct of the study are plausible.
b) Instrumentation, Data Collection, and Quality Control
- The development and content of the instrument are sufficiently described or referenced and are sufficiently detailed to permit the study to be replicated.
- The measurement instrument is appropriate given the study’s variables; the scoring method is clearly defined.
- The psychometric properties and procedures are clearly presented and appropriate.
- The data set is sufficiently described or referenced.
- Observers or raters were sufficiently trained. vi. Data quality control is described and adequate.
c) Population and Sample
- The population is defined clearly, both for subjects (participants) and stimulus (intervention), and is sufficiently detailed to permit the study to be replicated.
- The sampling procedures are sufficiently described.
- Subject samples are appropriate to the research question.
- Stimulus samples are appropriate to the research question.
- Selection bias is addressed.
d) Data Analysis and Statistics
- Data analysis procedures are sufficiently described and are sufficiently detailed to permit the study to be replicated.
- Data analysis procedures conform to the research design; hypotheses, models, or theory drives the data analyses.
- The assumptions underlying the use of statistics are fulfilled by the data, such as measurement properties of the data and normality of distributions.
- Statistical tests are appropriate (optimal).
- If statistical analysis involves multiple tests or comparisons, proper adjustment of significance level for chance outcomes was applied.
- Power issues are considered in statistical studies with small sample sizes.
- In qualitative research that relies on words instead of numbers, basic requirements of data reliability, validity, trustworthiness, and absence of bias were fulfilled.
e) Reporting of Statistical Analyses
- The assumptions underlying the use of statistics are considered, given the data collected.
- The statistics are reported correctly and appropriately.
- The number of analyses is appropriate.
- Measures of functional significance, such as effect size or proportion of variance accounted for, accompany hypothesis-testing analyses.
f) Presentation of Results
- Results are organized in a way that is easy to understand.
- Results are presented effectively; the results are contextualized.
- The results are complete.
- The amount of data presented is sufficient and appropriate.
- Tables, graphs, or figures are used judiciously and agree with the text.
g) Discussion and Conclusion: Interpretation
- The conclusions are clearly stated; key points stand out.
- The conclusions follow from the design, methods, and results; the justification of conclusions is well articulated. iii. Interpretations of the results are appropriate; the conclusions are accurate (not misleading).
- Alternative interpretations for the findings are considered.
- Statistical differences are distinguished from meaningful differences.
- Personal perspectives or values related to interpretations are discussed.
APA 6th edition, including conventions on long and short quotes