You can carry out multiple regression using code or Stata's graphical user interface (GUI). After you have carried out your analysis, we show you how to interpret your results. First, choose whether you want to use code or Stata's graphical user interface (GUI)....
Also, if we measure enough variables, some significant correlations will show up. Therefore, it is crucial to understand the pathophysiology of the system under investigation and interpret any finding in that context. Any conclusion made should be checked for its physiological relevance. For example...
I am arguing here that “Sense of Belonging in CS” should not be in that set. The role of computing education in K-12 should be to introduce students to computing for whatever they are going to do in life. As I’ve been pointing out in the last few blog posts, the uses of progra...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
2019). In particular, the discussion of identified heterogeneity and underlying moderator effects is critical; not including this information can lead to false conclusions among readers, who interpret the reported mean effect size as universal for all included primary studies and ignore the variability ...
It is important to take a moment to clearly understand how to interpret the result of the test in the context of two machine learning classifier models. The two terms used in the calculation of the McNemar’s Test capture the errors made by both models. Specifically, the No/Yes and Yes/...
participants in public works experience more severe shocks and food insecurity than non-participants. As expected, participants own fewer resources and assets. We refer to footnotebunder Table1to interpret the asset holdings. The asset holdings show quantile indices 1 to 5. An index of “1” ...
Interpret your results. According toIBM, EFA has overtaken CFA as a means of Factor Analysis. “The predominant CFA approach today is to consider CFA as a special case ofstructural equation modeling (SEM). You specify factor loadings as a set ofregressionstatements from the factor to the obser...
Data was analysed using Stata 16.1 employing statistical methods appropriate for analysis of non-normal data [47]. To evaluate the agreement between raters, the concordance correlation coefficient (CCC) was used for overall HRQoL [48] due to the skewed sample distribution [49]. Dimension-level HRQ...
to examine whether the shift in the turning point is significant, we used the nlcom command in STATA for low versus high values of each moderator in our model. As Web AppendixEreports, in all four cases, the results are not significant, suggesting that the shift in the turning point is ...