Spearman–Brown prophecy formula and Cronbach's alpha: different faces of reliability and opportunities for new applications

Vet, Henrica C.W. de; Mokkink, Lidwine B.; Mosmuller, David G. M.; Terwee, Caroline B.

doi:10.1016/j.jclinepi.2017.01.013

Cited by 158 publications

(107 citation statements)

References 8 publications

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“…A final analysis consisted of extrapolating the ICC result to a longer measurement period. The Spearman-Brown prophecy formula was used to predict the length of time needed for a DCA variable to reach a good ICC value of at least 0.6 [31]. The estimated longer durations involve the assumption that autoregulation would remain stable when the measurement duration is extended.…”

Section: Resultsmentioning

confidence: 99%

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

et al. 2020

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We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2 nd CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measured twice in 75 healthy subjects. DCA was analyzed by 14 different centers with a variety of different analysis methods. Intraclass Correlation (ICC) values increased significantly when subjects with low power spectral density MABP (PSD-MABP) values were removed from the analysis for all gain, phase and autoregulation index (ARI) parameters. Gain in the low frequency band (LF) had the highest ICC, followed by phase LF and gain in the very low frequency band. No significant differences were found between analysis methods for gain parameters, but for phase and ARI parameters, significant differences between the analysis methods were found. Alternatively, the Spearman-Brown prediction formula indicated that prolongation of the measurement duration up to 35

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Section: Resultsmentioning

confidence: 99%

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

et al. 2020

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“…A coefficient alpha greater than or equal to 0.70 would be considered to be satisfactory reliability of the scale score. 14,15 To evaluate the hypothesized four-factor model of the RIPLS, the data were subjected to the Confirmatory Factor Analysis (CFA). The goodness-of-fit statistics resulting from this analysis are reported.…”

Section: Statistical Analysesmentioning

confidence: 99%

Reliability and validity of the Persian version of readiness for inter-professional learning scale

et al. 2019

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Objectives: To assess the validity and reliability of the Persian version of the Readiness for Inter-Professional Learning Scale (RIPLS). Methods: A cross-sectional study was performed among final-year medical students in Iran. A total of 200 students completed the Persian versions of the RIPLS questionnaire using convenience sampling. To evaluate the construct validity of the RIPLS questionnaire, data were subjected to confirmatory factor analysis (CFA). Some goodness-of-fit indicators were used to assess the hypothesized model. The hypothesised models were tested with LISREL 7.8. Results: Cronbach's alphas for 9 teamwork and collaboration (TAC), 3 negative professional identity (NPI), 4 positive professional identity (PPI) and 3 Roles and responsibilities (RAR) items were 0.89, 0.60, 0.86 and 0.28 respectively. The whole RIPLS was found to be highly reliable (19 items; α= 0.94). The set of fit statistics show that the hypothesised four-factor model fits the sample data. Conclusions:The results of the study show that the Persian version of the RIPLS may be a valid and reliable scale. In addition, the results of CFA show that the hypothesised four-factor model appears to be a good fit to the data. However, the Persian version of the subscales of NPI and RAR needs to be developed. The implications and limitations of the study are discussed.

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“…16 The ICCs for the DAPP scores were fair to good according to conventional standards when averaged over 10 solves (attending: 0.55, resident: 0.54, intern: 0.38, and medical student: 0.67). 17 …”

Section: Resultsmentioning

confidence: 85%

“…15 Because the ICC for a single solve was low and not reflective of the design of the platform, we then used Spearman-Brown prophecy formula to calculate the ICC when 10 solves were averaged. 16 The Bonferroni correction was used for analysis of the top 25 USNWR and top 25 NIH funded distinction. We used SAS statistical software version 9.3 (SAS Institute) for all analyses, and a 2-sided adjusted P value of less than .05 was considered statistically significant.…”

Section: Methodsmentioning

confidence: 99%

Assessment of a Simulated Case-Based Measurement of Physician Diagnostic Performance

et al. 2019

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Key Points Question Can automated scoring by an online case-based simulator be used as a valid measure of diagnostic performance? Findings This cohort study found that health care professionals with more experience and training demonstrated higher diagnostic performance scores, as measured on an online case simulator, The Human Diagnosis Project (Human Dx). Attending physicians were most efficient and accurate in diagnostic performance compared with residents, interns, and medical students. Meaning Online case-based physician performance measurement has the potential to be a practical and scalable method in the assessment of diagnostic performance.

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Spearman–Brown prophecy formula and Cronbach's alpha: different faces of reliability and opportunities for new applications

Cited by 158 publications

References 8 publications

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

Reliability and validity of the Persian version of readiness for inter-professional learning scale

Assessment of a Simulated Case-Based Measurement of Physician Diagnostic Performance

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