SavedAdd your journal

Journals / Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi / 2014 / Cilt: 14 - Sayı: 1

Understanding Confidence Intervals With Visual Representations

GÖRSEL SUNUM İLE GÜVEN ARALIKLARI KAVRAMINI ANLAMA

Bilgin NAVRUZ
Erhan DELEN
Pages
346–360
Publication Date
2014-01-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, the calculation and the visual representation of CIs for mean and effect size were illustrated to help readers comprehend the concept of CIs

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the present paper, we showed how confidence intervals (CIs) are valuable and useful in research studies when they are used in the correct form with correct interpretations.
📊
Key Findings & Data:The sixth edition of the APA (2010) Publication Manual strongly recommended reporting CIs in research studies, and it was described as “the best reporting strategy” (p. 34).
💡
Conclusion & Impact:Finally, the calculation and the visual representation of CIs for mean and effect size were illustrated to help readers comprehend the concept of CIs
🔬Design:Research Article
📍Scope:2010 Verileri
⚙️Variables:güven aralıkları · kavram yanılgısı · doğru yorumlama

Abstract

In the present paper, we showed how confidence intervals (CIs) are valuable and useful in research studies when they are used in the correct form with correct interpretations. The sixth edition of the APA (2010) Publication Manual strongly recommended reporting CIs in research studies, and it was described as “the best reporting strategy” (p. 34). Misconceptions and correct interpretations of CIs were presented from several textbooks. In addition, limitations of the null hypothesis statistical significance test (NHSST) were discussed, and using CIs was discussed as an alternative to the NHSST. Finally, the calculation and the visual representation of CIs for mean and effect size were illustrated to help readers comprehend the concept of CIs

Özet

Bu çalışmada doğru kullanım ve yorumlama ile güven aralıklarının araştırmalarda sunulmasının önemi üzerinde durulmuştur. American Psychological Association (APA) (2010) yayım kılavuzu, güven aralıkları değerlerine çok önem vermekte ve çalışmalarda rapor edilmesi gerektiğini belirtmektedir. Araştırmacılar tarafından eksik ve yanlış da yorumlanabilen güven aralıkları bu çalışmada ayrıntılı olarak ele alınmış, kitaplardan da örnekler verilerek doğru ve yanlış tanımlar değerlendirilmiş ve görsel sunum ile örneklendirilerek okuyucuların güven aralıkları konusunu daha kolay anlamaları amaçlanmıştır

🔖

Cite This Article

NAVRUZ, B., DELEN, E. (2014). Understanding Confidence Intervals With Visual Representations. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, Cilt: 14 - Sayı: 1, 346–360. https://ajindex.com/articles/808

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (6)

  1. American Psychological Association. (2001). Publication manual of the American Psychological Association (5th ed.). Washington, DC: Author. American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author. Algina, J., Keselman, H. J. (2003). Approximate confidence intervals for effect sizes. Educational and Psychological Measurement, 63, 537-553.
  2. Belia, S., Fidler, F., Williams, J., & Cumming, G. (2005). Researchers misunderstand confidence intervals and standard error bars. Psychological Methods, 10, 389-396. doi: 10.1037/1082-989X.10.4.389 Byrd, J. K. (2007). A call for statistical reform in EAQ. Educational Administration Quarterly, 43, 381-391. doi: 10.1177/0013161X06297137 Cumming, G. (2011). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. New York: Routledge. Cumming, G., & Fidler, F. (2009). Confidence intervals: Better answers to better questions. Journal of Psychology, 217, 15-26. doi:10.1027/0044- 3409.217.1.15 Cumming, G., & Finch, S. (2001). A primer on the understanding, use and calculation of confidence intervals that are based on central and noncentral distributions. Educational doi: 10.1177/0013164401614002 Measurement, 61, 532-575.
  3. Cumming, G., & Finch, S. (2005). Inference by eye: Confidence intervals, and how to read doi: 10.1037/0003-066X.60.2.170 American Psychologist, 60, 170-180.
  4. Cumming, G., Williams, J. & Fidler, F. (2004). Replication, and researchers' understanding of confidence intervals and standard error bars. Understanding statistics, 3, 299-311. doi: 10.1207/s15328031us0304_5 Di Stefano, J. (2004). A confidence interval approach to data analysis. Forest Ecology and Management, 187, 173–183. doi:10.1016/S0378-1127(03)00331-1
  5. Fidler, F., & Loftus, G. (2009). Why figures with error bars should replace p values: Some conceptual arguments and empirical demonstrations. Journal of Psychology, 217, 27-37. doi: 10.1027/0044-3409.217.1.27 Fidler, F., & Thompson, B. (2001). Computing correct confidence intervals for ANOVA fixed- and random-effects effect sizes. Educational and Psychological Measurement, 61, 575–604. doi: 10.1177/0013164401614003 Finch, S., Cumming, G., & Thomason, N. (2001). Reporting of statistical inference in the Journal of Applied Psychology: Little evidence of reform. Educational and doi: 10.1177/00131640121971167 Measurement, 61, 181-210.
  6. Good, P. I., & Hardin, J. W. (2003). Common errors in statisti