The precision of the UP statistics to detect the aberrant response patterns in polytomouse data

The major aim of this research was to investigate the precision of the up parametric statistics to detect common response styles in polytomouse data. In the present study, five-choices data was simulated with 25 replication according to a fully-crossed design based on Partial Cradit Rasch model. The design included foure types of response styles ;Extreme responding positive, negative, acquiescence and midpoint responding, in four -different situations ; Sample size, test length, percentages of aberrant-responding examinees and percentages of aberrant items was investigated. precision of the Up statistic was high to detect the response styles in all situations respectively; ;Extreme responding negative, positive, acquiescence and it was possible to distinguish between the compatible and aberrant response patterns with the highest precision in these response styles,except to detect the midpoint responding was less precision, in some situations. The Up parametric statistics has high sensitivity to detect common response styles in non-cognitive multiple choice data and it is suggested that be used this statistics to detect of the response styles of extreme responding negative, positive, acquiescence .