The first subscale is measured with a 6-point Likert-scale (0=0 person, 1=1 person, 2=2 persons, 3=3-4 persons, 4= 5-8 persons, 5=9 or more persons).The second subscale is also measured with a 6-point Likert-scale (0=never...5=always). I would like to c...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
But there are times you need to use some procedure that won’t compute standardized coefficients for you. Often it makes more sense to use a general linear model procedure to run regressions. But GLM in SAS and SPSS don’t give standardized coefficients. Likewise, you won’t get standardized...
The date's appeal for different relationship types was assessed with one item each (e.g. 'I would like this person for a one night stand' on a 7-point Likert-type scale ranging from strongly disagree to strongly agree) for friendship, one- night stand, booty call (i.e. arranging ...
The evaluations provided by the two judges have been averaged to compute a DT creativity score (DT-Creativity; inter-rater correlations: α = 0.91, p < 0.001). 2.3. Procedure A local pediatrician informed the children’s parents about the possibility of participating in the study. If parents...
Food fraud is an old, recurring, and global threat to public health. It poses a serious threat to food security in sub-Saharan Africa (SSA). Despite the prevalence of food fraud in SSA, little is known about how food fraud is viewed by consumers. This study aims to provide an overview...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
(2010). The factor analysis confirmed that the items loaded onto one factor that explained 60% of the variance. The scale was internally consistent (α = .86). We averaged the items to compute an index score of social presence (M = 3.87,SD = 0.88, skewness = − ...
In order to compute residualized change scores, T2 values were regressed on T1 variables across groups, and the predictions were saved as new variables. The prediction was then subtracted from the raw T2 score, yielding a residualized change score (Cohen et al. 2003). In essence, examination...
Models using a Maximum Likelihood (ML) estimator resulted in a suboptimal model fit, due to the fact that data were non-normally distributed and assessed on only a 4-point Likert scale. Therefore, we opted to use the Diagonally Weighted Least Squares (DWLS) estimator. Different fit indices ...