How do people perceive listeners?
Abstract
Listening is essential in shaping social interactions,
relationships and communication. While listening research
has generated significant insights on how speakers benefit
from good listening, one fundamental question has been
largely overlooked: how do people perceive listeners?
This gap is crucial for understanding how perceptions of
listeners impact relational dynamics. In three studies (two
preregistered; total N = 1509), we assessed the attributes
and behaviours associated with good and bad listeners, and
whether the favourability of these attributes and behaviours
impact downstream consequences. In Study 1, participants
identified an acquaintance they judged as a good or bad
listener. Good listeners were rated higher in positive listening
attributes and behaviours, which mediated their perceived
warmth, competence and values. Study 2 replicated this using
a reverse correlation technique: one sample generated faces
of a good or bad listener, which were then evaluated by a
second, naïve sample. Consistent with Study 1, good listener
faces were rated higher in positive listening attributes and
behaviours, mediating perceptions of warmth, competence,
humility and values. Study 3 extended Study 2 by showing
that the effects were not due to a general positivity bias,
demonstrating the significant interpersonal consequences of
being perceived as a good or bad listener.
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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The Moderating Effect of Performance Feedback and the Mediating Effect of Self-Set Goals on the Primed Goal-Performance Relationship
Guy Itzchakov, Gary P. Latham
Goal Setting
The effect of feedback and a self-set goal on the relationship between a goal primed in the subconscious and performance were examined in three laboratory experiments and one field experiment (n = 241, 465, 201, 74 respectively), using normative (bogus) and absolute feedback manipulations, and different performance tasks that were coded for both performance quality (i.e. creativity) and quantity. The hypothesis that providing feedback, a moderator in goal-setting theory, amplifies the causal effect of a primed goal on performance was supported. Specifically, in experiment 1, participants were randomly assigned to a 2 (prime of effective vs. ineffective performance) × 3 (positive, negative, no feedback) factorial design. The primed goal for effective performance led to higher performance than the negative primed goal. In addition, feedback, regardless of its sign, increased both task and creative performance when a primed goal for effective performance was presented but did not do so when the goal primed ineffective performance. This effect was replicated in two subsequent laboratory experiments which employed three primed goal conditions (effective/neutral/ineffective). In experiments 2 and 3, a consciously set goal, with no prompting by an experimenter, mediated the relationship between a primed goal and performance when feedback was provided. Experiment 4 provided a conceptual replication in a work setting, involving employees in a customer service department of a large communication company. Finally, a meta-analysis of these four experiments indicated an average effect size of d = 0.36, 95 percent CI [0.23, 0.49] with no evidence of heterogeneity across the four experiments. These findings suggest that not only are subconscious goals a foundation for the difficulty level of consciously set goals but in addition, subconscious goals and conscious goals work together in affecting performance.
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