Feedback, even positive feedback, can reduce performance.
Listening is transformational. See a Harvard Business Review paper.
Feedforward, with listening, could substitute feedback.
Resources
Talks
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Kluger, A. N. (2021, August). Exposing the underlying assumptions of listeners, listening researchers, and listening trainers. The 1st Israeli Listening Research Conference, Ono Academic College, Ramat Gan, Israel. http://dx.doi.org/10.23668/psycharchives.5054.
Kluger, A. N. (2015, April). Listening: Why should you and why should you not? Symposium presented at the 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
SLIDES from the SIOP 2015 conference:
An introduction (Slides 1-9) and "The Hidden Power of Listening: Meta-Analyses"
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"If You Listen to Me, I Will Change My Attitude" by Guy Itzchakov
"Listener Effects on Psychological Safety – Attenuated by Avoidance-Attachment Style" by Dotan R. Castro
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"Listening Up the Status Hierarchy: Unpacking the Social Status implications of Listening" by Anat Hurwitz.
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Measures
Bouskila-Yam, O., & Kluger, A., N. (2011). The Facilitating Listening Scale (FLS). Paper presented at the 1st Israel Organizational Behavior Conference, Tel Aviv, Israel.
Kluger, A. N., & Bouskila-Yam, O. (in press). Facilitating Listening Scale: (Bouskila-Yam & Kluger, 2011, December). In D. L. Worthington & G. D. Bodie (Eds.), The sourcebook of listening research: Methodology and measures. West Sussex, UK: Wiley-Blackwell.
R Codes for Dyadic Data Analysis
Chapter 1
Table 1.3
Converting data structures: Individual to Dyad, Dyad to Individual, and Individual to Pairwise
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Chapter 2
Table 2.1
Computing intra-class correlation with confidence interval for Table 2.1
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Chapter 3
Table 3.1
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Table 3.3 -- example different from book
Table 3.5
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Chapter 4
Table 4.3
Multi-level Modeling
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Chapter 5
Table 5.1
SEM for dyads with indistinguishable members
Chapter 6
Table 6.1 Equality of variances
Table 6.2 Equality of correlations
Table 6.3 Latent variable correlations
Table 6.4 Omnibus test of distinguishability Correlations pairwise method (p. 138)
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Chapter 7
Table 7.1 Mimic APIM with MLM results obtained with SPSS in Table 7.3
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Figure 7.2 Estimate indistinguishable APIM with SEM
Figure 7.3 Estimate distinguishable APIM (with SEM)
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Chapter 8
Table 8.4 Univariate SRM
Table 8.9 Bivariate SRM
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Chapter 9
Table 9.1 Family SRM
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Chapter 10
p. 292 Blog. One with many reciprocal design -- indistinguishable
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p. 292 One with many reciprocal design -- indistinguishable with MLM
p. 293 One with many reciprocal design -- with SEM​ For R-based web applications, see Randi Garcia and Dave Kenny's Dyadic Data Analysis 2018 Workshop
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Chapter 11
Table 11.4 Social network analysis
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