Correcting Reliability for Sample Variability and Attenuation in R.
This study investigates the reliability of teacher burnout measurements and proposes a method to correct reliability estimates for sample variability and attenuation using the statistical software R. Traditional internal consistency reliability coefficients, such as Cronbach's Alpha and McDonald's O...
| Publicado en: | Measurement & Evaluation in Counseling & Development Vol. 58; no. 3; pp. 269 - 275 |
|---|---|
| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul-Sep2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186248917&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186248917 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07481756 MEV jtl: Measurement & Evaluation in Counseling & Development issn: 07481756 maglogo: N pubinfo: dt: Jul-Sep2025 vid: 58 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 186248917 183620794 186248917 186248917 10.1080/07481756.2025.2473320 186248917 ppf: 269 ppct: 6 formats: tig: atl: Correcting Reliability for Sample Variability and Attenuation in R. aug: au: Sideridis, Georgios Alghamdi, Mohammed affil: ICCTR, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA sug: subj: Teachers Psychosocial Factors Burnout, Professional Diagnosis Measurement Error Evaluation Psychometrics Evaluation Software Human Internal Consistency Coefficient alpha Saudi Arabia Scales ab: This study investigates the reliability of teacher burnout measurements and proposes a method to correct reliability estimates for sample variability and attenuation using the statistical software R. Traditional internal consistency reliability coefficients, such as Cronbach's Alpha and McDonald's Omega, may be biased due to sampling error and attenuation. This paper introduces an R function to adjust these reliability estimates, using a teacher burnout scale from the Trends in International Mathematics and Science Study (TIMSS) in 2019 data using as a case study data from Saudi Arabia. The results demonstrate that the corrective procedures significantly improve reliability estimates, suggesting that uncorrected measures may underestimate the true reliability of teacher burnout assessments. These findings underscore the importance of considering measurement error in the evaluation of psychological constructs. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|