On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations
نویسندگان
چکیده
منابع مشابه
Single missing data imputation in PLS-SEM
An important source of bias in structural equation modeling (SEM) employing the partial least squares method (PLS) is missing data. Deletion methods, such as listwise and pairwise deletion, have traditionally been used to deal with missing data. These methods are perceived as leading to selective loss of data and significant related biases. Missing data imputation methods, on the other hand, do...
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ژورنال
عنوان ژورنال: Marketing ZFP
سال: 2017
ISSN: 0344-1369
DOI: 10.15358/0344-1369-2017-3-4