Peran SPSS dalam Meningkatkan Akurasi Analisis Data
DOI:
https://doi.org/10.57235/qistina.v4i1.6330Keywords:
SPSS, Akurasi Analisis Data, Validasi Data, Reliabilitas, Metodologi PenelitianAbstract
Akurasi analisis data menjadi krusial dalam penelitian modern, namun masih terdapat kesenjangan pemahaman mengenai kontribusi spesifik SPSS terhadap peningkatan akurasi tersebut. Penelitian ini bertujuan menganalisis peran SPSS dalam meningkatkan akurasi analisis data melalui evaluasi fitur-fitur utama dan mekanisme validasinya. Metode penelitian menggunakan pendekatan kualitatif dengan studi literatur dan analisis kepustakaan. Data dikumpulkan melalui telaah komprehensif terhadap buku, jurnal ilmiah, dan publikasi akademik tahun 2021-2025 yang relevan dengan topik penelitian. Hasil penelitian menunjukkan SPSS berperan signifikan dalam meningkatkan akurasi melalui kemampuan validasi dan uji reliabilitas menggunakan Cronbach's Alpha, penanganan analisis statistik kompleks, serta integrasi dengan metodologi penelitian modern. SPSS terbukti tidak hanya sebagai software analisis statistik tetapi juga instrumen quality assurance yang memastikan reproducibility dan kredibilitas penelitian dengan interface user-friendly namun tetap mempertahankan kedalaman analisis.
References
Alchemer. (2024, December 10). What is SPSS and how does it benefit survey data analysis? https://www.alchemer.com/resources/blog/what-is-spss/
Govindasamy, R. (2024). Validity and reliability of a needs analysis questionnaire for the development of a creativity module. Journal of Research in Special Educational Needs. Wiley Online Library. https://nasenjournals.onlinelibrary.wiley.com/doi/full/10.1111/1471-3802.12659
IBM. (2024). IBM SPSS Statistics. https://www.ibm.com/products/spss-statistics
IBM. (2024). Scale Reliability - IBM SPSS Statistics. https://www.ibm.com/docs/en/spss-statistics/beta?topic=features-scale-reliability
Laerd Statistics. (2024). Cronbach's Alpha in SPSS Statistics - procedure, output and interpretation. https://statistics.laerd.com/spss-tutorials/cronbachs-alpha-using-spss-statistics.php
MAXQDA. (2025, April 14). Grounded theory guide: Explained step-by-step. https://www.maxqda.com/research-guides/grounded-theory
National Center for Biotechnology Information. (2018). Grounded theory research: A design framework for novice researchers. PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC6318722/
National Center for Biotechnology Information. (2024). A comparative evaluation of Statistical Product and Service Solutions (SPSS) and ChatGPT-4 in statistical analyses. PubMed. https://pubmed.ncbi.nlm.nih.gov/39610603/?fc=None&ff=20241130143055&v=2.18.0.post9+e462414
National Center for Biotechnology Information. (2024). Evaluating ChatGPT-4.0's data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R. PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC10978058/
OnlineSPSS.com. (2022). How to Run Reliability Analysis Test in SPSS. https://www.onlinespss.com/how-to-run-reliability-analysis-test-in-spss/
Rahman, A., & Muktadir, M. G. (2021). SPSS: An imperative quantitative data analysis tool for social science research. International Journal of Research and Innovation in Social Science, 5(10), 300-302. https://rsisinternational.org/journals/ijriss/Digital-Library/volume-5-issue-10/300-302.pdf
ResearchGate. (2021). SPSS: An imperative quantitative data analysis tool for social science research. https://www.researchgate.net/publication/355986638_SPSS_An_Imperative_Quantitative_Data_Analysis_Tool_for_Social_Science_Research
ResearchGate. (2021, October 8). SPSS: An imperative quantitative data analysis tool for social science research. https://www.researchgate.net/publication/355986638_SPSS_An_Imperative_Quantitative_Data_Analysis_Tool_for_Social_Science_Research
ResearchGate. (2025). Assessment of validity, reliability, and normality in quantitative study: A survey instrument analysis with IBM SPSS. https://www.researchgate.net/publication/389340242_Assessment_of_Validity_Reliability_and_Normality_in_Quantitative_Study_A_Survey_Instrument_Analysis_with_IBM_SPSS
Springer. (2021). Data Analysis with SPSS for Survey-based Research. https://link.springer.com/book/10.1007/978-981-16-0193-4
SPSS Analysis. (2024). Cronbach's Alpha (α) using SPSS - Reliability Analysis. https://spssanalysis.com/cronbachs-alpha-in-spss/
SPSS Analysis. (2024). Reliability Analysis in SPSS - Explained, Performing, Reported. https://spssanalysis.com/reliability-analysis-in-spss/
SUNY Empire Library. (2024). Constructing Scales and Checking Their Reliability - SPSS eTutor. https://subjectguides.sunyempire.edu/c.php?g=659059&p=4626861
SurveyParrow. (2024). What is SPSS? Definition, features, types, and use cases. https://surveysparrow.com/blog/what-is-spss/
University of California Irvine. (2024). SPSS - Software for data analysis. Research Guides. https://guides.lib.uci.edu/dataanalysis/spss
Wikipedia. (2024). Grounded theory. https://en.wikipedia.org/wiki/Grounded_theory
Wikipedia. (2024). SPSS. https://en.wikipedia.org/wiki/SPSS
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