If a respondent skipped some of the questions on a subscale, which of the following should occur?

The best approach when a respondent has skipped some questions on a subscale is to compute the subscale score as a weighted sum of the item responses provided. This method adjusts for the missing data by ensuring that the overall score reflects the relevant responses without penalizing the respondent for unanswered items. When calculating scores, it's important to maintain the integrity of the data by taking into account only the responses that have been provided, which in turn allows for a fair and representative scoring of the participant's views or experiences on that subscale.

By using a weighted sum, the remaining items can contribute appropriately to the overall score, preserving the subscale's validity. This approach also enhances data reliability by minimizing the impact of item non-response on the final score, thereby allowing researchers to effectively analyze and interpret the findings even with incomplete responses.