Ipsative

In psychology, ipsative questionnaires (ˈɪpsətɪv; from Latin: ipse, 'of the self') are those where the sum of scale scores from each respondent adds to a constant value. Sometimes called a forced-choice scale, this measure contrasts Likert-type scales in which respondents score—often from 1 to 5—how much they agree with a given statement (see also norm-referenced test). While mean scores from Likert-type scales can be compared across individuals, scores from an ipsative measure cannot. To explain, if an individual was equally extroverted and conscientious and was assessed on a Likert-type scale, each trait would be evaluated singularly, i.e. respondents would see the item "I enjoy parties" and agree or disagree with it to whatever degree reflected their preferences. If the same traits were evaluated on an ipsative measure, respondents would be forced to choose between the two, i.e. a respondent would see the item "Which of these do you agree with more strongly? a) I like parties. b) I keep my work space neat and tidy." Ipsative measures may be more useful for evaluating traits within an individual, whereas Likert-type scales are more useful for evaluating traits across individuals. Additionally, ipsative measures may be useful in identifying faking. However, ipsative measures may, especially among testing-naïve individuals exhibiting high levels of conscientiousness and/or neuroticism, decrease test validity by discouraging response and/or encouraging non-response. For example, a test's authors may force respondents to choose between "a) Animals chase me in my dreams" and "b) My dreams are nice" in an effort to see whether a given respondent is more inclined toward "faking bad" or toward "faking good." When faced with such a question, a child frequently terrified by nightmares that rarely if ever involve animals, and especially one whose parents have taught him/her strict rules against lying, may simply refuse to answer the question given that for that respondent nearly all of the time both descriptions are inaccurate.