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In successive steps, items were reduced from an initial pool of 142 to a 97-item beta version.
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We evaluated these current practices, considering three distinct steps (item generation, theoretical analysis, and psychometric analysis).
Data analysis was performed, using the following sequence of steps: Item means, standard deviations, and medians were calculated in combination with visual inspection of histograms and Q-Q plots in order to detect floor or ceiling effects.
In a second step, items were evaluated by three psychologists including the lecturer-in-charge, all three experts in Holland's theory and RIASEC.
In a subsequent step, items were elaborated for each construct.
In a first step, items showing local dependency were deleted (76 items).
At this step, items showing cross-loadings or loadings less than 0.30 were eliminated (n = 32).
In the following analysis, we ranked the selected STEP items according to their frequency of occurrence.
As a first step, items were required to have at least an 80% response rate.
In this last step, items with lower factor loading in the first dimension or loading in more than one dimension were removed.
We decided to include the monitoring of vaccination mainly for one reason: in the PRISCUS results, missing or unknown vaccinations had the highest prevalence of all STEP items.
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CEO of Professional Science Editing for Scientists @ prosciediting.com