Quantitative Lit Review Mastery

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Master a quantitative literature review

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Reniel Beda

Filipinas

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Froggy Jumps Quantitative Lit Review MasteryVersión en línea Master a quantitative literature review por Reniel Beda 1 What is the primary goal of a literature review in quantitative research? a To summarize every study conducted in the field. b To identify existing evidence and gaps to frame a testable hypothesis. c To present all author biographies related to the topic. 2 Which framework helps structure search questions for quantitative reviews? a SMART (Specific, Measurable, Achievable, Relevant, Time-bound) b PICO (Population, Intervention, Comparator, Outcome) c KAP (Knowledge, Attitude, Practice) 3 What should be included in inclusion and exclusion criteria? a Only studies from the last year b Random selection of articles that look interesting c Predefined rules about study type, population, outcomes, and timing 4 Why is a protocol or registered plan important in a literature review? a It guarantees funding for the research b It reduces bias by predefining methods and analyses c It allows changing methods after data review 5 What is a quantitative synthesis method suitable for combining study results? a Meta-analysis b Thematic analysis c Narrative storytelling 6 Which tool helps assess study quality and risk of bias in quantitative reviews? a Qualitative interview guide b Thematic coding scheme c Risk of Bias tools (e.g., ROB, Cochrane RoB) 7 What is a major reason to perform a meta-analysis? a To obtain an overall effect estimate across studies b To critique study limitations without data c To list all study authors 8 How should missing data be handled in quantitative reviews? a Ignore missing data and proceed b Fill with zeros c Contact authors or use imputation methods and report assumptions 9 What is publication bias and why address it? a Bias from sample size; to favor large studies b Bias from non-publication of negative results; to obtain accurate conclusions c Bias from reviewer preference; to speed up review 10 Which practice improves transparency and replicability of the review? a Only sharing final conclusions b Comprehensive data extraction and open reporting of methods c Keeping methods secret to protect strategy

Froggy Jumps

Quantitative Lit Review MasteryVersión en línea

Master a quantitative literature review

por Reniel Beda

What is the primary goal of a literature review in quantitative research?

To summarize every study conducted in the field.

To identify existing evidence and gaps to frame a testable hypothesis.

To present all author biographies related to the topic.

Which framework helps structure search questions for quantitative reviews?

SMART (Specific, Measurable, Achievable, Relevant, Time-bound)

PICO (Population, Intervention, Comparator, Outcome)

KAP (Knowledge, Attitude, Practice)

What should be included in inclusion and exclusion criteria?

Only studies from the last year

Random selection of articles that look interesting

Predefined rules about study type, population, outcomes, and timing

Why is a protocol or registered plan important in a literature review?

It guarantees funding for the research

It reduces bias by predefining methods and analyses

It allows changing methods after data review

What is a quantitative synthesis method suitable for combining study results?

Meta-analysis

Thematic analysis

Narrative storytelling

Which tool helps assess study quality and risk of bias in quantitative reviews?

Qualitative interview guide

Thematic coding scheme

Risk of Bias tools (e.g., ROB, Cochrane RoB)

What is a major reason to perform a meta-analysis?

To obtain an overall effect estimate across studies

To critique study limitations without data

To list all study authors

How should missing data be handled in quantitative reviews?

Ignore missing data and proceed

Fill with zeros

Contact authors or use imputation methods and report assumptions

What is publication bias and why address it?

Bias from sample size; to favor large studies

Bias from non-publication of negative results; to obtain accurate conclusions

Bias from reviewer preference; to speed up review

Which practice improves transparency and replicability of the review?

Only sharing final conclusions

Comprehensive data extraction and open reporting of methods

Keeping methods secret to protect strategy

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Quantitative Lit Review Mastery

Froggy Jumps

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Froggy Jumps

Quantitative Lit Review MasteryVersión en línea

por Reniel Beda

What is the primary goal of a literature review in quantitative research?

Which framework helps structure search questions for quantitative reviews?

What should be included in inclusion and exclusion criteria?

Why is a protocol or registered plan important in a literature review?

What is a quantitative synthesis method suitable for combining study results?

Which tool helps assess study quality and risk of bias in quantitative reviews?

What is a major reason to perform a meta-analysis?

How should missing data be handled in quantitative reviews?

What is publication bias and why address it?

Which practice improves transparency and replicability of the review?