You should contact the package authors for that. The Details section describes the required objects for testing the three hypotheses. Note that in Kuijpers et al. For H03, object coeff includes the design matrices and functions in Equation Columns are the items score of Test 1. The first column is the grouping variable: Is called the constraint matrix and relates the coefficients defined in coeff.
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bh To test whether the alphas of the two dependent groups are equal, the software code for the third example in the paragraph Examples can be used see below. R Package Documentation rdrr. Hence, all references to equations pertain to this 0h2. The first column is the grouping variable: The data of each test forms one dependent group.
The argument arg in SpecifyCoefficient specifies for which of the J marginals Cronbach’s alpha should be computed, and it specifies the number of response categories K. If a researcher wants to test whether this value is significantly above.
For hypothesis H03, data set TestCronbachAlphaH3 was used, which contained the item-score vectors from the first group for the two tests. For this data set, Cronbach’s alpha for the first dependent group is equal to 0.
A by 21 matrix, representing the dichotomous item scores of respondents from two groups for two tests. Manuscript submitted for publication. I can’t find what I’m looking for. I have a suggestion.
First, the R package cmm needs to be invoked. Embedding an R snippet on your website. For hypothesis H02, which involves two alpha coefficients derived from two independent samples, coeff is obtained by.
For H03, the marginal matrix is not implemented in the package as a code yet, so it has to be computed ad hoc. Note that we can’t provide technical support on individual packages.
The Examples section describes the actual code required for for testing the three hypotheses. Columns are the item scores of Test 2. What can we improve? This R document file may be regarded as an appendix to Kuijpers, Van der Ark, and Croon who discussed this topic.
Related to TestCronbachAlpha in cmm Second, vector nthe number of items Jthe number of categories Kand criterion c in hypothesis H01 have to be defined.
Is called the constraint matrix and relates the coefficients defined in coeff. In the example for testing hypothesis H01, data set TestCronbachAlphaH1 was used, which contained the item-score vectors from the first group, for j02 first test.
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Function SpecifyCoefficient returns the design matrices and functions of several prespecified coefficients, including Cronbach’s alpha. Note that in Kuijpers et al. For H02, coeff now includes the design matrices and functions in Equation For this data set, Cronbach’s alpha for the first independent group is equal to 0.
Function MarginalMatrix constructs the marginal matrix. For H01, object coeff includes the design matrices and functions in Equation For hypotheses H02 and H03 bt equals design matrix A6. Hypothesis H01 pertains to one Cronbach’s alpha, so bt is the scalar 1.