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Questions and Answers
What is the difference between inclusion and exclusion criteria in a literature review?
What is the difference between inclusion and exclusion criteria in a literature review?
What is the purpose of a conceptual framework in a literature review?
What is the purpose of a conceptual framework in a literature review?
What is the difference between primary and secondary sources in a literature review?
What is the difference between primary and secondary sources in a literature review?
What is publication bias in a literature review?
What is publication bias in a literature review?
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What is meta-analysis in a literature review?
What is meta-analysis in a literature review?
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Study Notes
Inclusion and Exclusion Criteria
- Inclusion criteria: specific characteristics that must be present for a study to be included in a literature review
- Exclusion criteria: specific characteristics that exclude a study from being included in a literature review
- Both are used to ensure that only relevant studies are included in the review
Conceptual Framework
- A conceptual framework is a visual or conceptual representation of the relationships between variables or concepts
- It helps to organize and structure the literature review by providing a clear understanding of the research topic
- It guides the analysis and synthesis of the literature, and facilitates the identification of gaps and limitations
Primary and Secondary Sources
- Primary sources: original research studies, such as experiments, surveys, and interviews
- Secondary sources: analyses or interpretations of primary sources, such as reviews, commentaries, and meta-analyses
- Primary sources provide first-hand evidence, while secondary sources provide second-hand evidence
Publication Bias
- Publication bias: the tendency for studies with statistically significant or positive results to be more likely to be published
- This can lead to an overestimation of the true effect of an intervention or phenomenon
- It can be controlled for by using sensitive search strategies, seeking out unpublished studies, and using statistical methods to detect bias
Meta-Analysis
- Meta-analysis: a statistical method that combines the results of multiple studies to draw more general conclusions
- It involves pooling the data from individual studies to calculate a weighted average of the results
- It provides a more precise estimate of the effect of an intervention or phenomenon than individual studies alone
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Description
Test your understanding of key terms in literature review with this quiz! From defining what literature review is to identifying research gaps and crafting research questions, this quiz will help you sharpen your knowledge and skills in conducting a comprehensive literature review. Get ready to dive deep into the world of research and evaluation!