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A recent review paper on cranio-facial superimposition (CFS) stated that "there have been specific conceptual variances" from the original methods used in the practice of skull-photo superimposition, leading to poor results as far as accuracy is concerned.
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The adjusted R squared value was 0.22, indicating 22% of the variance in conceptual change on evolutionary theory was explained by the model.
Some authors explained the speed-curvature correlation as a way of minimizing the effects of steering errors [32, 36], which is the same conceptual argument of minimum variance criterion used to explain the origin of the two-thirds power law.
This significant correlation among psychosocial risk factors may be the result of conceptual overlap and common method variance as they were all assessed using self-report.
The most parsimonious factor solution was selected according to the following criteria: a good conceptual fit, high percentage of variance explained, high factor loading scores with minimal cross loading and stability of factors across different solutions.
Table 6 presents the resulting model for conceptual use, which significantly explained the variance (Adjusted R2 = 0.227, F = 8.541, p < 0, 0,).
Of these, the 5-component solution was most promising as it explained 50.5% of the variance and had a better conceptual fit.
To solve this problem, we re-ran the model with this variance set to zero, and then evaluated whether the zero variance estimate was compatible with the conceptual design of the study.
Overall the underlying stress and coping conceptual model accounted for 44-50% of the variance in psychological adjustment.
Lee and Whitmore [ 3] discussed conceptual issues and presented computational methods (Analysis of Variance) for statistical power and sample size for different types of experimental designs, taking multiple testing into account.
Further examination of the items and the structure, revealed that a two factor solution made the most conceptual sense and explained an acceptable amount of variance (38%) in the responses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com