Recent content by Comfort Eagle

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    Help me understand the unidimensionality assumption in test theory (CTT and IRT)

    De Ayala (2009) writes: This always made sense to me until recently. In any statement found in a psychological questionnaire, there is semantic overlap between constructs. Heck, we even allow factors to be correlated in obliquely rotaded PCAs and EFAs. As soon as any two factors are...
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    Factor loadings > 1 in CFA with lavaan

    Hm, but I also get factor loadings > 1 when specifying only one single factor. Never heard of ESEMs before, thanks!
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    Factor loadings > 1 in CFA with lavaan

    Thanks. I'm cross validating two questionnaires and the > 1 loadings come from an established big five inventory. If loadings are akin to regression estimates, I suspect they might be able to amount to > 1 if the items are highly correlated?
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    Factor loadings > 1 in CFA with lavaan

    Hi folks, What are potential causes for factor loadings > 1 in CFA with lavaan? I'm using standardized loadings ( Is this generally concerning? Thanks
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    Testing hypothesis of difference in factor loadings across multiple scales in two questionnaires

    I'm unsure of how to test this hypothesis and would greatly appreciate your ideas: For illustrative purposes, let's assume that two groups of people (experts vs. novices) author a questionnaire with five scales (scale1 to scale5). Let's further assume that I have reason to hypothesize that when...
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    Comparing two dependent, non-overlapping correlations

    I have two questions regarding the comparison of two correlation coefficients from a single (paired / dependent) sample: Is it legitimate to use a test for comparing independent correlation coefficients instead? My understanding is that the only drawback is that this would compromise power...
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    Suspicious about perfect fit in SEM (CFI = 1, RMSEA = 0)

    I'm new to path analysis in SEM and suspicious about my model fit indices in R / lavaan: lavaan 0.6-6 ended normally after 27 iterations Estimator ML Optimization method NLMINB Number of free parameters...
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    GLM with multiple categorical predictors

    I don't care about this intercept or what it represents, as long its not an intersection of factor levels, which would make it hard to interpret.
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    GLM with multiple categorical predictors

    Hello internet, lets say I want to predict an outcome using multiple categorical predictors. Please consider the follow reproducible R-code: library(dplyr) library(psych) set.seed(42) n <- 500 df <- data.frame( loneliness = round(runif(n, 0, 1)), pet = factor(round(runif(n, 0, 1)))...
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    Confusion over the F-ratio in a hierarchical multiple regression

    Hey all, I'm not used to work with multiple regression analysis, so I would be glad if anyone could help me interpreting this result: I performed a hierarchical multiple regression in SPSS (forced entry) in two Blocks to predict to variable SM: Block 1: Predictors: IQ, AGE Block 2...
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    Urgently need help with data analysis

    Hey folks, i really am desperate for help with this, since I have to present my results at a conference in less than two weeks. I am a statistics-noob undergraduate psychoglogy-student, so please go easy on me. Research and Variables I want to examine the correlative relationship between a...