The Effect of a Dilemma on the Relationship Between Ability to Identify the Criterion (ATIC) and Scores on a Validated Situational Interview
Abstract
Four experiments were conducted to determine whether participants’ awareness of the performance criterion on which they were being evaluated results in higher scores on a criterion-valid situational interview (SI) where each question either contains or does not contain a dilemma. In the first experiment, there was no significant difference between those who were or were not informed of the performance criterion that the SI questions predicted. Experiment 2 replicated this finding. In each instance, the SI questions in these two experiments contained a dilemma. In a third experiment, participants were randomly assigned to a 2 (knowledge/no knowledge provided of the criterion) X 2 (SI dilemma/no dilemma) design. Knowledge of the criterion increased interview scores only when the questions did not contain a dilemma. The fourth experiment revealed that including a dilemma in a SI question attenuates the ATIC-SI relationship when participants must identify rather than be informed of the performance criterion that the SI has been developed to assess.
An updated meta-analysis of the primed goal-organizational behaviour relationship
Gary P. Latham, Xiao Chen, Ronald F. Piccolo and Guy Itzchakov
Goal Setting
Environmental cues (e.g. achievement-related words and pictures) can prime/activate, in the absence of awareness, a mental representation of importance stored in memory. Chen et al.'s 2021 Applied Psychology: An International Review70, 216–253. (doi:10.1111/apps.12239) meta-analysis revealed a moderate, significant overall effect for the goal priming-organizational behaviour relationship, with three moderators identified: context-specific versus a general prime, prime modality (i.e. visual versus linguistic) and experimental setting (field versus laboratory). An independent researcher found that their finding was negligibly affected by a publication bias. Shanks & Vadillo (2021), Royal Society Open Science8, 210544. (doi:10.1098/rsos.210544) (field: k = 13, N = 683, d = 0.64), questioned Chen et al.'s conclusion regarding the effect size found in field studies (field: k = 8, N = 357, d = 0.68). In this paper, we discussed Shanks & Vadillo's selection of additional field experiments that led to their conclusion of a publication bias. We updated Chen et al.'s meta-analysis to include relevant studies conducted since that study's publication. The present meta-analysis reproduced the original findings in Chen et al. (field: k = 11, N = 534, d = 0.67). The updated findings are consistent with: (i) laboratory findings, (ii) the findings obtained in field experiments on consciously set goals and (iii) goal setting theory (Latham & Locke, 2018 In Handbook of industrial, work & organizational Psychology, vol. 1 (eds D Ones, N Anderson, C Viswesvaran, H Sinangil), pp. 103–124).
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Listen to this: Why consumer behavior researchers should care about listening
Guy Itzchakov & S. Christian Wheeler
Listening
Consumers’ decisions are intricately interwoven with their conversations. Whether it
is an animated discussion with a trusted friend extolling the virtues of a newly
acquired car (i.e., Word-of-Mouth), an engaging dialogue with a salesperson, or a clarifying call to a help center seeking guidance on a just-purchased smartwatch, every
exchange hinges on a pivotal factor: the quality of listening. Listening quality shapes
perceptions, affects social influence, drives behavioral intentions, and, ultimately,
determines purchase and post-purchase outcomes. Yet, despite its importance to
these consumer behavior outcomes, listening has received scant attention in consumer psychology. In this paper, we review the effects of listening on consumer
behavior-relevant outcomes and unpack the components of quality listening to
reveal their independent mechanisms. We also point to new frontiers in listening
research beyond the in-person, dyadic interactions that have been the primary focus
of listening research to date. By doing this, we elucidate how listening and consumer
behavior are connected and encourage more research on listening in consumer
psychology.
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