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Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review
8 references·0 citing·37 second hop
Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review (2023)Sample size in quantitative instrument-ba…Sample Size Justification (2022)Sample Size JustificationSample size in quantitative instrument validation studies: A systematic review of articles published in Scopus, 2021 (2022)Sample size in quantitative i…Could AI help you to write your next paper? (2022)Could AI help you to write yo…GPT-3: Its Nature, Scope, Limits, and Consequences (2020)GPT-3: Its Nature, Scope, Lim…Avoid Cohen’s ‘Small’, ‘Medium’, and ‘Large’ for Power Analysis (2020)Avoid Cohen’s ‘Small’, ‘Mediu…Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General (2018)Applied Psychometrics: Sample…Sample Size Requirements for Structural Equation Models (2013)Sample Size Requirements for …Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred Reporting Items for…Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)Confirmatory factor analysis for applied research (2007)The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences (2017)Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls (2020)Structural equation modeling in practice: A review and recommended two-step approach. (1988)A power primer. (1992)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Applied Psychometrics: The Steps of Scale Development and Standardization Process (2018)Exploratory Structural Equation Modeling: Practical Guidelines and Tutorial With a Convenient Online Tool for Mplus (2022)A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT (2024)Why Most Published Research Findings Are False (2005)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)A Primer for Conducting Experiments in Human–Robot Interaction (2020)Power to Detect What? Considerations for Planning and Evaluating Sample Size (2023)Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology (2023)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Computer Power and Human Reason: From Judgment to Calculation (1976)Computing Machinery and Intelligence (1950) (2004)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)False-Positive Psychology (2011)Power failure: why small sample size undermines the reliability of neuroscience (2013)A Guide for Calculating Study-Level Statistical Power for Meta-Analyses (2023)Power to Detect What? Considerations for Planning and Evaluating Sample Size (2024)Exploratory research in sport and exercise science: Perceptions, challenges, and recommendations (2025)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)A First Course in Factor Analysis (1993)An easy guide to factor analysis (1994)Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)Artificial intelligence in scientific writing: a friend or a foe? (2023)The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT (2023)
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References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement63,979 cited
  • 2013Sample Size Requirements for Structural Equation Models3,914 cited
  • 2020GPT-3: Its Nature, Scope, Limits, and Consequences2,513 cited
  • 2022Sample Size Justification1,972 cited
  • 2018Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General1,878 cited
  • 2022Could AI help you to write your next paper?226 cited
  • 2022Sample size in quantitative instrument validation studies: A systematic review of articles published in Scopus, 2021207 cited
  • 2020Avoid Cohen’s ‘Small’, ‘Medium’, and ‘Large’ for Power Analysis166 cited

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