Biomedical subjects

Jochen Musch

Publications and source records attributed to Jochen Musch.

5 recordsLinked to original sources

PubMed2005

Priming of semantic classifications: late and response related, or earlier and more central?

Priming of semantic classifications may occur because of response-related priming or because of priming at a more central locus. To separate these two possibilities, we randomly intermixed adjectives and first names, using a response window procedure. Participants decided whether the adjectives were positively or negatively valenced and whether the names were male or female. Each of these kinds of targets was preceded by adjective or name primes associated with responses that either matched or mismatched the correct response to the target. Results showed that priming of semantic classification involves two components: a major response-related one, modulated by prime visibility and prime-target repetition, and a smaller component with a more central locus that is less susceptible to context effects.

Female↗

PubMed2003

The positivity proportion effect: a list context effect in masked affective priming.

In the evaluative decision task, participants decide whether target words denote something positive or negative. Positive and negative prime words are known to engender so-called affective priming effects in this task. Primes were sandwich masked, and the proportion of positive to negative target words was manipulated. In Experiment 1, prime valence and positivity proportion interacted, so that primes of the less frequently presented target valence caused larger priming effects. Experiment 2 rendered an explanation of this interaction in terms of response bias unlikely, Experiment 3 ruled out a peripheral locus of the effect, and Experiment 4 ruled out an account in terms of stimulus repetition. The effect is explained by means of an attentional bias favoring the rare kind of valence.

Affect↗

PubMed2002

Comparing continuous and dichotomous scoring of the balanced inventory of desirable responding.

The Balanced Inventory of Desirable Responding (BIDR; Paulhus, 1994) is a widely used instrument to measure the 2 components of social desirability: self-deceptive enhancement and impression management. With respect to scoring of the BIDR, Paulhus (1994) authorized 2 methods, namely continuous scoring (all answers on the continuous answer scale are counted) and dichotomous scoring (only extreme answers are counted). In this article, we report 3 studies with student samples, and continuous and dichotomous scoring of BIDR subscales are compared with respect to reliability, convergent validity, sensitivity to instructional variations, and correlations with personality. Across studies, the scores from continuous scoring (continuous scores) showed higher Cronbach's alphas than those from dichotomous scoring (dichotomous scores). Moreover, continuous scores showed higher convergent correlations with other measures of social desirability and more consistent effects with self-presentation instructions (fake-good vs. fake-bad instructions). Finally, continuous self-deceptive enhancement scores showed higher correlations with those traits of the Five-factor model for which substantial correlations were expected (i.e., Neuroticism, Extraversion, and Conscientiousness). Consequently, these findings indicate that continuous scoring may be preferable to dichotomous scoring when assessing socially desirable responding with the BIDR.

Adolescent↗

PubMed2002

Probability misjudgment, cognitive ability, and belief in the paranormal.

According to the probability misjudgment account of paranormal belief (Blackmore & Troscianko, 1985), believers in the paranormal tend to wrongly attribute remarkable coincidences to paranormal causes rather than chance. Previous studies have shown that belief in the paranormal is indeed positively related to error rates in probabilistic reasoning. General cognitive ability could account for a relationship between these two variables without assuming a causal role of probabilistic reasoning in the forming of paranormal beliefs, however. To test this alternative explanation, a belief in the paranormal scale (BPS) and a battery of probabilistic reasoning tasks were administered to 123 university students. Confirming previous findings, a significant correlation between BPS scores and error rates in probabilistic reasoning was observed. This relationship disappeared, however, when cognitive ability as measured by final examination grades was controlled for. Lower cognitive ability correlated substantially with belief in the paranormal. This finding suggests that differences in general cognitive performance rather than specific probabilistic reasoning skills provide the basis for paranormal beliefs.

Adult↗

PubMedDate not supplied

Personality differences in hindsight bias.

Ten personality correlates of hindsight bias were tested in a study with 75 participants answering almanac-type knowledge questions. Participants showed hindsight bias when hindsight estimates were compared to foresight estimates (memory condition), when hindsight estimates were compared to foresight estimates of other participants (BS = between-subjects hypothetical condition), and when hindsight estimates were compared to foresight estimates in response to equally difficult control items (WS = within-subject hypothetical condition). The magnitude of hindsight bias in both hypothetical conditions was positively associated with the participant's field dependence and his or her tendency for favourable self-presentation (as measured by social desirability and impression management). Between-subjects hypothetical hindsight was associated with the participant's conscientiousness and need for predictability and control (as measured by a rigidity scale). In a multiple regression analysis, 39% of the variance in BS hypothetical hindsight, 24% of the variance in WS hypothetical hindsight, but no significant proportion of the variance in memory hindsight could be accounted for by personality measures. It is concluded that individual differences in hindsight bias exist and must be taken into account in a complete model of the effect.

Adult↗