1990
DOI: 10.3758/bf03203186
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A text-stimuli presentation manager for the IBM PC with ipsatization correction for response sets and reaction times

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Cited by 13 publications
(13 citation statements)
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“…The data from each question underwent an intra-subject standardization by means of an ipsatization procedure in order to neutralize the effect in responses set [31,32]. Specifically, each rating was subtracted by the mean rating of the subject responses in all questions and conditions and then divided by the standard deviation of subject's responses in all questions and conditions.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The data from each question underwent an intra-subject standardization by means of an ipsatization procedure in order to neutralize the effect in responses set [31,32]. Specifically, each rating was subtracted by the mean rating of the subject responses in all questions and conditions and then divided by the standard deviation of subject's responses in all questions and conditions.…”
Section: Methodsmentioning
confidence: 99%
“…When a significant effect was found, the Á 2 effect size and power were computed. Ipsatization transformed questionnaire ratings in Z-scores with a normal distribution allowing a proper use of parametric tests on questionnaire data [31,32]. Separated repeated measures ANOVAs were conducted for each different question on ipsatized values and on SCL measures.…”
Section: Q3mentioning
confidence: 99%
“…The data from each question underwent an intra-subject standardization by means of an ipsatization procedure in order to neutralize the effect in responses set (Broughton & Wasel, 1990;Cattell, 1944). Specifically, each rating was subtracted by the mean rating of the subject responses in all questions and conditions and then divided by the standard deviation of subject's responses in all questions and conditions.…”
Section: Subjective Responsesmentioning
confidence: 99%
“…In order to account for response tendencies of participants, e.g., general (dis-)agreement to all questions or generally using extreme ends of the scale, that might have confounded the interpretation of questionnaire data, we transformed the data to ipsative scores (Broughton and Wasel 1990;Cattell 1944). Ipsative normalization was performed within-subjects and consisted of calculating across all questions the average score and the standard deviation of scores.…”
Section: Discussionmentioning
confidence: 99%