Abstract
Rapid guessing is a test taking strategy recommended for increasing the probability of achieving a high score if a time limit prevents an examinee from responding to all items of a scale. The strategy requires responding quickly and without cognitively processing item details. Although there may be no omitted responses after participants' rapid guessing, an open question remains: do the data show unidimensionality, as is expected for data collected by a scale, or bi-dimensionality characterizing data collected with a time limit in testing, speeded data. To answer this question, we simulated speeded and rapid guessing data and performed confirmatory factor analysis using one-factor and two-factor models. The results revealed that speededness was detectable despite the presence of rapid guessing. However, detection may depend on the number of response options for a given set of items.
Highlights
ObjectivesThe main objective of the empirical investigation was to examine if the effect of a time limit in testing was detectable in data despite participants’ rapid guessing
The first set of three bars provides the results for data showing no effect of a time limit in testing, that is, the data were complete and without rapid guessing
Whereas model misfit was indicated for no random responses, good model fit was signified for the probability of .5 in two levels of source influence
Summary
The main objective of the empirical investigation was to examine if the effect of a time limit in testing was detectable in data despite participants’ rapid guessing. The use of this guessing strategy was an important issue as its strict application would result in the complete disappearance of omissions. The simulated data for this investigation had to show 1) the characteristics of data originating from a time limit situation in testing leading to omissions, 2) the use of a multiple-choice response formats, and 3) rapid guessing. The data had to show the consequence of the participants’ rapid guessing For this purpose, the simulated omissions due to the testing time limit were replaced by simulated random responses
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