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as part of formative measurement model evaluation we sometimes have to decide on whether or not to delete an indicator now lets say vision is our formative model now vision is formed by one two three four indicators now lets say we have ran our collinearity diagnostics we have seen our indicator weights and we have assessed our loadings as well now if there is an issue with any of these statistics what should i do shall i remove these indicators or not in this particular session we are going to focus on that an important question is shall we delete a formative indicator or shall we retain a formative indicator now what are the conditions under which we delete an indicator from a formative model when deciding whether to delete formative indicators based on statistical outcomes researchers need to be cautious for the following reasons first formative indicators weights are function of number of indicators used to measure a construct the greater the number of indicators the lower their
