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Cited by 638

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Teacher Immediacy as a Predictor of Teaching Effectiveness

Andersen, Janis F.·1979·Annals of the International Communication Association

Abstract

This investigation examined teacher immediacy as a potential predictor of teaching effectiveness. Teacher immediacy was conceptualized as those nonverbal behaviors that reduce physical and/or psychological distance between teachers and students. Teaching effectiveness was examined in light of teacher ability to produce affective, behavioral and cognitive student learning.Hypothesized results indicated that in a multiple regression model, teacher immediacy predicted 46% of the variance in student affect toward the course instructor and about 20% of the variance in student affect toward the course content. Immediacy also predicted 18% of the variance in student behavioral commitment. Cognitive learning as operationalized by test score was not significantly predicted by teacher immediacy. Canonical correlation analysis produced one significant canonical relationship between specific and generalized teacher immediacy and teaching effectiveness.

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Metadata

Authors
Andersen, J. F.
Venue
Annals of the International Communication Association
Published
1979-12
Volume
3
Issue
1
Pages
543-559
ISSN
  • 2380-8977 (ISSN-L)
  • 2380-8985
OpenAlex
W2765969315
Cited by
638
References
3
FWCI
3.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Teacher Immediacy as a Predictor of Teaching Effectiveness. https://app.cochat.ai/papers/10.1080/23808985.1979.11923782
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Andersen, J. F. (1979). Teacher Immediacy as a Predictor of Teaching Effectiveness. Annals of the International Communication Association. https://doi.org/10.1080/23808985.1979.11923782

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.