General Factor of Creativity
Specification

A full me² Technical Specification is available to all me² practioners in the me² Support Manual but detailed below are some of the highlights.
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Sample
Demographic data for the sample of 3574 for the me2 General Factor of Creativity is presented in
Table 1. The full 12-factor model was subjected to Confirmatory Factor Analysis using a form (WLSMV) of the diagonally weighted least squares estimator as implemented in MPlus.
Table 1. Demographic Characteristics of the Sample for me2 General Factor of Creativity 3.2
| Demographic | Response | N |
| Gender | Male | 1608 |
| Female | 1822 | |
| Missing | 144 | |
| Ethinicity | White | 2670 |
| Asian | 455 | |
| Black | 149 | |
| Arab | 72 | |
| Hispanic | 41 | |
| Other | 187 | |
| Education | Secondary School to age 16 years | 78 |
| Secondary School to age 18 years | 136 | |
| Non-university higher education | 260 | |
| Undergraduate university education | 1142 | |
| Postgraduate university education | 1816 | |
| Missing | 142 | |
| Occupation | Professional/Senior Managerial | 2151 |
| Junior Professional/Managerial | 874 | |
| Administrative/Secretarial | 157 | |
| Skilled | 27 | |
| Service | 97 | |
| Semi-skilled | 10 | |
| No permanent full-time job | 106 | |
| Missing | 152 | |
| Age | Mean Years | 38.2 |
Norm Sample
From the sample of 3574, a refined sample of 2351 Managers and Professionals was extracted for detailed analysis.
Scale Reliabilities
Mean α=0.83
The scale reliability (Cronbach’s Alpha), mean, standard deviation, skew, kurtosis and standard error of measurement for each scale of the me2 General Factor of Creativity is presented in Table 3.
Table 3. Scale Reliabilities, Means, Standard Deviations, Skew, Kurtosis and Standard Error of Measurement for the me2 General Factor of Creativity Scale Stannines
| Scale | Alpha | M | SD | Skew | Kurtosis | SEM |
| Fluency | .92 | 5.68 | 2.24 | -0.13 | -0.63 | 0.63 |
| Originality | .89 | 5.82 | 2.12 | -0.30 | -0.41 | 0.70 |
| Incubation | .80 | 5.09 | 2.04 | -0.24 | -0.30 | 0.91 |
| Illumination | .77 | 5.14 | 2.00 | -0.25 | 0.07 | 0.95 |
| Curiosity | .71 | 5.91 | 2.37 | -0.55 | 0.26 | 1.28 |
| Ambiguity | .68 | 5.20 | 2.08 | -0.09 | -0.39 | 1.18 |
| Intrinsic | .85 | 5.86 | 2.34 | -0.40 | 0.03 | 0.91 |
| Competitive | .91 | 5.69 | 2.28 | -0.38 | -0.64 | 0.68 |
| Achievement | .73 | 5.54 | 2.11 | -0.14 | -0.41 | 1.10 |
| Producing | .91 | 5.96 | 2.38 | -0.30 | -0.68 | 0.71 |
| Sharing | .87 | 5.84 | 2.34 | -0.30 | -0.68 | 0.71 |
| Implementing | .91 | 5.71 | 2.28 | -0.46 | 0.03 | 0.68 |
| General Factor of Creativity | .85 | 4.92 | 1.97 | -0.19 | -0.21 | 0.76 |
n=2351
Note: SEM = Standard Error of Measurement
Factor Validity
The factor structure of the me2 General Factor of Creativity was examined with Confirmatory Factor Analysis using the diagonally weighted least squares estimator as implemented in MPlus version 61 (WLSMV) showing the following fit: χ2 = 14676, df = 2418, CFI = 0.94, NNFI = 0.94.
Invariance Testing
The me2 General Factor of Creativity was tested for fairness across gender and ethnicity by the method of assessing factorial invariance in ordered-categorical measures, using the robust maximum likelihood estimator (Millsap & Yun-Tein, 2004)1.
For gender, very unusually, the models progressively improved in fit, which provides unequivocal support for fairness across gender.
Ethnicity was categorised as: White (N = 1917) and Non-White (N = 397). Similar to gender, and equally unusually, model fit improved as the models became more restrictive, which provides a clear demonstration of fairness across ethnic groups.
In total, 707 of the sample were born in non-English speaking countries, so the results also establish that the me2 General Factor of Creativity is clearly understandable by individuals for whom English is a second language.
References
- 1 Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39, 479-515.