Applying Bootstrap Resampling to Compute Confidence Intervals for Various Statistics with R

DOĞAN C. D.

EURASIAN JOURNAL OF EDUCATIONAL RESEARCH, cilt.2017, sa.68, ss.1-18, 2017 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2017 Sayı: 68
  • Basım Tarihi: 2017
  • Doi Numarası: 10.14689/ejer.2017.68.1
  • Dergi Adı: EURASIAN JOURNAL OF EDUCATIONAL RESEARCH
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1-18
  • Anahtar Kelimeler: Confidence Interval, P value, Bootstrapped resampling, Methods of bootstrapping, R software
  • Ankara Üniversitesi Adresli: Evet

Özet

Background: Most of the studies in academic journals use p values to represent statistical significance. However, this is not a good indicator of practical significance. Although confidence intervals provide information about the precision of point estimation, they are, unfortunately, rarely used. The infrequent use of confidence intervals might be due to estimation difficulties for some statistics. The bootstrap method enables researchers to calculate confidence intervals for any statistics. Bootstrap resampling is an effective method of computing confidence intervals for nearly any estimate, but it is not very commonly used. This may be because this method is not well known or people may think that it is complex to calculate. On the other hand, researchers may not be familiar with R and be unable to write proper codes.