Confidence intervals about score reliability coefficients, please: An EPM guidelines editorial.

By Xitao Fan, B. Thompson. 2001

249 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/aec74f9e372b0fec2ad329cb517f6b40b18186a8

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Citations in the corpus

Development and Validation of Scores on the Distributed Leadership Inventory (2009, methodology): “%) were also evaluated using the method recommended by Fan and Thompson (2001). according to Henson (2001), Loo (2001), and Nunnally and Bernstein (1994), test scores should have reliabilities of .80 or better.”
Considerations in determining sample size for pilot studies. (2008, methodology): “Upper and lower limits were found by applying the standard procedure involving the Fisher z transformation outlined in many statistics textbooks and presented in a measurement context by Fan and Thompson (2001). An alternative strategy would be to use an on-line calculator such as SISA (Uitenbroek, ”
Assessing the Reliability of the Beck Anxiety Inventory Scores (2005, methodology): “Confidence intervals were calculated following the procedures presented in Fan and Thompson (2001). and a median of 28 days.”
“Work is my passion”: The different affective, behavioural, and cognitive consequences of harmonious and obsessive passion toward work (2011, background): “…two 6-item subscales: harmonious passion with a Cronbach alpha in the current study of .83 and a 95% confi dence interval (CI) of .80 to .85 (cf. Fan & Thompson, 2001; sample item: “The new things that I discover with my work allow me to appreciate it even more”); and obsessive passion with an…”
Confidence Intervals for Effect Sizes in Analysis of Variance (2002, background): “Second, as Fan and Thompson (2001) explained, ANOVA models may also be invoked to evaluate score reliabilities.”
Cronbach's Alpha: Review of Limitations and Associated Recommendations (2010, background): “Fan & Thompson (2001) gave the equation for calculating 95% CI of alpha as: CIupper = 1 – [(1 - ) F( /2),df1,df2], and (5) CIlower = 1 – [(1 - ) F(1 - /2),df1,df2] (6) In both equation 7 and 8, represents the desired probability level, represents the obtained alpha coefficient, F represents the…”
Examining the Psychometric Properties of the Achievement Goal Questionnaire in a General Academic Context (2004, methodology): “The 95% confidence intervals for Cronbach’s coefficient alpha were calculated using a method employing the central F distribution (see Fan & Thompson, 2001).”
Significance, Effect Sizes, Stepwise Methods, and Other Issues: Strong Arguments Move the Field (2001, background): “As explained in detail by Thompson and Vacha-Haase (2000), tests are simply not impregnated with inviolate reliability as part of the printing process.”
Evaluating the Quality of Evidence from Correlational Research for Evidence-Based Practice (2005, methodology): “Confidence intervals can be computed for (a) reliability coefficients (Fan & Thompson, 2001); (b) sample statistics (e.g., M, r); and (c) effect sizes (Thompson, 2002b).”
Shorter can Also be Better: The Abridged Job in General Scale (2004, methodology): “Using the central approach to estimating confidence intervals around a reliability coefficient estimate, the obtained 95% confidence interval was [.82, .87] (see Fan & Thompson, 2001, p. 524).”
US teachers' and school counsellors' strategies for handling school bullying incidents (2008, methodology): “In keeping with the recommendations of Onwuegbuzie and Daniel, (2002) and also Fan and Thompson (2001), we calculated the upper-tailed confidence interval for each of the alpha coefficients reported above.”
Does Emotional Intelligence Assist in the Prediction of Academic Success? (2003, methodology): “Confidence intervals (95%) for the reliability coefficients were also computed, using the method in Feldt (1965), and illustrated in Fan and Thompson (2001). From Table 1, the reader will note that individual tests sometimes had low levels of internal consistency.”
Reliability Generalization: Moving toward Improved Understanding and Use of Score Reliability (2002, methodology): “Figure 1 presents Excel spreadsheet commands to compute confidence intervals for Cronbach’s alpha, following the editorial policies of EPM (Fan & Thompson, 2001).”
Treating Cronbach’s Alpha Reliability Coefficients as Data in Counseling Research (2006, methodology): “Although F tables in statistics texts tend to include only upper percentiles values—that is, F(df1,df2)—Fan and Thompson (2001) provide a helpful strategy for calculating the lower percentiles.”
Students’ perceptions of teaching quality in higher education: the perspective of currently enrolled students (2007, methodology): “The measurement properties of each scale were assessed with reliability analysis, using Cronbach’s (1951) estimate of the reliability coefficient, including 95% confidence intervals for each estimate of coefficient alpha (Fan & Thompson, 2001).”
The Test Anxiety Inventory for Children and Adolescents (TAICA) (2008, background): “Coefficient alphas and the 95% confidence intervals (see Fan & Thompson, 2001; Feldt, 1990) for the TAICA scores for the first and second testing sessions are presented in Table 2.”