Advanced Quantitative Data Analysis
By Duncan Cramer. 2003
314 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8195b100cf5bf6b0c813ea51c1ed8f5809d73cc0
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Citations in the corpus
- Dynamic Capability Building in Service Value Networks for Achieving Service Innovation (2009, methodology): “For newer scales, permissible alpha values extended to 0.6 are also acceptable (Cramer, 2003).”
- Learning a musical instrument: the case for parental support (2010, methodology): “There is no statistical criterion for making this choice (Cramer 2003), and in this analysis a six-cluster solution was selected because it generated clusters that were all reasonable in size but were also all reasonably distinct from one another (Table 4).”
- The role of students' self-beliefs, motivation and attitudes in predicting mathematics achievement: A multilevel analysis of the Programme for International Student Assessment data (2017, background): “Mathematics self-efficacy accounted for reductions in variations of both levels (student and school), implying that schools were somewhat homogeneous with respect to this variable (Muijs, 2012).”
- Defamilisation and welfare state regimes: a cluster analysis (2007, methodology): “Once countries are joined in a cluster they remain joined throughout the rest of the analysis (Gough, 2001; Cramer, 2003).”
- Work engagement, burnout and related constructs as predictors of turnover intentions : original research (2010, background): “A Dutch study yielded the following Cronbach alpha coefficients for the three subscales: 0.80 (EE), 0.64 (DP) and 0.74 (PA) (Kop, Euwema, & Schaufeli, 1999); inconclusive results were obtained regarding the reliability of the DP and diminished PA subscales (cf. Cramer, 2003; cf. Nunnally, 1978).”