Contains a discussion of the Scale's rationale, an analysis of Wechsler's sampling procedures, presentation of findings, tables of interest correlations, and administration and scoring directions and norms. DA Wechsler 被引量: 5010发表: 1981年 Factor analysis in the development and refinement of cl...
J. (2012). Interpreting the Dispositional Flow Scale-2 scores: A pilot study of latent class factor analysis. Journal of Sports Sciences, 30 , 1183–1188.Kawabata, M., & Mallett, C. J. (2012). Interpreting the Dispositional Flow Scale-2 scores: A pilot study of latent class factor ...
, but even onsite assignments increased for some. In addition, several LSPs on our list cited higher volumes due to large government contracts. So while M&A played a role in the growth rates for the 34 largest interpreting providers in the world, it certainly was not the only factor....
The scale.hist argument determines vertically how much of the plotting region the histogram occupies. The axis numbers on the right-hand side belong to the histogram and the ones on the left belong to the conditional effect. There are two other visualizations that might be useful in other ...
The primary level of interpretation of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) is at the index score level. The central tenant of this chapter is that individual differences among the factor-based index scores are clinically important and worthy of study. Interpretation...
Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties Standardized parameter estimates are routinely used to summarize the results of multiple regression models of manifest variables and structural equation mo... Z Wen,HW Marsh,KT Hau - 《...
To better interpret the regulatory patterns behind each topic, we identified transcription factor (TF) motifs that were enriched for differentially accessible regions in each topic (Fig. 9B, Additional file 7: Table S8). Many of the top TF motifs (as ranked by HOMER p-values [105]) point ...
This suggests that the efficacy of Chinese medicine is not only influenced by changical components but is also closely related to biopharmaceutical processes within the body. The low bioavailability of active components in Chinese medicine is a critical factor that affects its effectiveness. This is ...
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene expression has introduced challenges in their evaluation and interpretation. Current evaluations align DNN predictions with orthogonal experimental data, providing in
2015). Model included stem mortality as dependent variable and fire severity (dNBR), species, and their interaction as fixed effects, using the plot id as a random factor to adjust the model degree of freedom. We first tested the full model, and, where not significant, we manually backward...