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  "Description": "An alternative to Exploratory Factor Analysis (EFA) for\nmetrical data in R. Drawing on characteristics of classical\ntest theory, Exploratory Likert Scaling (ELiS) supports the\nuser exploring multiple one-dimensional data structures. In\ncommon research practice, however, EFA remains the go-to method\nto uncover the (underlying) structure of a data set. Orthogonal\ndimensions and the potential of overextraction are often\naccepted as side effects. As described in Müller-Schneider\n(2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these\nproblems. As a result, 'elisr' provides the platform to fully\nexploit the exploratory potential of the multiple scaling\napproach itself.",
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      "headings": [
        "Exploratory Likert Scaling in R",
        "Important note",
        "The two workhorses: disjoint() & overlap()",
        "A primer for monitoring the scale development process",
        "Analyzing the trust items",
        "disjoint()",
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