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Systematic quantitative literature reviews What are they, and why use them? Presentation for the Griffith Social & Behavioral Research College Catherine Pickering, School of Environment, Griffith
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How to fill out systematic quantitative literature

How to fill out systematic quantitative literature
01
Start by identifying your research question or objective.
02
Conduct a comprehensive search using relevant databases and search engines.
03
Apply inclusion and exclusion criteria to select studies that meet your research objective.
04
Extract relevant data from the selected studies using a standardized data extraction form.
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Analyze the extracted data using appropriate statistical methods.
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Interpret the results and draw conclusions based on the findings.
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Write a systematic quantitative literature review following the preferred reporting guidelines.
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Submit your literature review for publication or use it to inform your own research.
Who needs systematic quantitative literature?
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Researchers who are conducting evidence-based studies or systematic reviews.
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What is systematic quantitative literature?
Systematic quantitative literature refers to a methodical review of research studies that focuses on the numerical data and statistical analysis.
Who is required to file systematic quantitative literature?
Researchers, academics, and authors who conduct systematic reviews or meta-analyses are typically required to file systematic quantitative literature.
How to fill out systematic quantitative literature?
Systematic quantitative literature should be filled out by organizing and synthesizing relevant research articles, analyzing the data statistically, and reporting the findings in a structured format.
What is the purpose of systematic quantitative literature?
The purpose of systematic quantitative literature is to provide a comprehensive summary and synthesis of research findings in a specific field or topic area.
What information must be reported on systematic quantitative literature?
Systematic quantitative literature should include details of the search strategy, inclusion/exclusion criteria, data extraction methods, statistical analysis, and findings of the reviewed studies.
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