Selecting a best multiattribute alternative with partial information about attribute weights

Use of approximate weights would greatly simplify decision analysis under certainty since detailed weight elicitation could be avoided. This paper examines the degree to which rank order information about weights can be used to identify a best alternative, or falling uniqueness prescribes an easily implemented rule for selecting a ‘best’ alternative. The prescribed rule uses as weights the centroid of the feasible region defined by the rank order information. In conjunction with the rule, the value of the rank order information can be determined using an ‘expected gain from weight precision’ (EGWP) measure, analogous to ‘expected value of perfect information’ in decision analysis under uncertainty.     

Confirming the latent structure and base rate of schizotypy: a taxometric analysis.

Meehl's (1962, 1990) model of schizotypy and the development of schizophrenia implies that the structure of liability for schizophrenia is dichotomous and that a "schizogene" determines membership in a latent class, or taxon (Meehl & Golden, 1982). The authors sought to determine the latent structure and base rate of schizotypy. They applied Meehl's (1973; Meehl & Golden, 1982) MAXCOV-HITMAX taxometric analytic procedures to a subset of items from the Perceptual Aberration Scale (PAS; Chapman, Chapman, & Raulin, 1978), a prominent psychometric index of schizotypy, derived from a randomly ascertained nonclinical university sample (N = 1,093). The results, in accordance with Meehl's conjectures, strongly suggest that schizotypy, as assessed by the PAS, is taxonic at the latent level with a general population taxon base rate of approximately .10.     

Inaccurate reporting and inappropriate variables: a reply to Vecchio's (1990) examination of cognitive resource theory.

In an article in the Journal of Applied Psychology, Vecchio (1990) purported to test cognitive resource theory (Fiedler, 1986; Fiedler & Garcia, 1987). We present evidence that Vecchio's article seriously misrepresented previous work on cognitive resource theory and also contained several flaws in methodology that call into question his conclusions regarding the validity of cognitive resource theory.     

Assessing attributions in marriage: the relationship attribution measure.

A brief, simple measure of different types of attributions for partner behavior was examined in 3 studies of married couples. Reliability was established by high internal consistency and test-retest correlations. Causal and responsibility attribution scores correlated with marital satisfaction, attributions for marital difficulties, and attributions for actual partner behaviors generated by spouses. Responsibility attributions were related to (a) reported anger in response to stimulus behaviors used in the measure and (b) the amount of anger displayed by wives during a problem-solving interaction with their partner. The extent to which husbands and wives whined during their discussion also correlated with their responsibility attributions. The results address several problems with existing assessments, and their implications for the measurement of attributions in marriage are discussed.     

Evidence for an error deadzone in compensatory tracking

Humans and monkeys show intermittent arm movements while tracking moving targets. This intermittency has been explained by postulating either a psychological refractory period after each movement and/or an error deadzone, an area surrounding the target within which movements are not initiated. We present a technique to detect and quantify the size of this deadzone, using a compensatory tracking paradigm that distinguishes it from a psychological refractory period. An artificial deadzone of variable size was added around a visual target displayed on a computer screen. While the subject was within this area, he received visual feedback that showed him to be directly on target. The presence of this artificial deadzone could affect tracking performance only if it exceeded the size of his intrinsic deadzone. Therefore, the size of artificial deadzone at which performance began to be affected revealed the size of the intrinsic deadzone. Measured at the subjects' eye, the deadzone was found to vary between 0.06 and 0.38 degrees, depending on the tracking task and viewing conditions; on the screen, this range was 1.3 mm to 3.3 mm. It increased with increasing speed of the target, with increasing viewing distance, and when the amplitude of the movement required was reduced. However, the deadzone size was not significantly correlated with the subjects' level of performance. We conclude that an intrinsic deadzone exists during compensatory tracking, and we suggest that its size is set by a cognitive process not simply related to the difficulty of the tracking task.