Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 270

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

A review and meta-analysis of the nomological network of trainee reactions.

Sitzmann, Traci, Brown, Kenneth G., Casper, Wendy J., Ely, Katherine, Zimmerman, Ryan D.·2008·Journal of Applied Psychology

Abstract

A review and meta-analysis of studies assessing trainee reactions are presented. Results suggest reactions primarily capture characteristics of the training course, but trainee characteristics (e.g., anxiety and pretraining motivation) and organizational support also have a moderate effect on reactions. Instructional style (rho = .66) followed by human interaction (rho = .56) were the best predictors of reactions. Reactions predicted pre-to-post changes in motivation (beta = .51) and self-efficacy (beta = .24) and were more sensitive than affective and cognitive learning outcomes to trainees' perceptions of characteristics of the training course. Moderator analyses revealed reactions- outcomes correlations tended to be stronger in courses that utilized a high level rather than a low level of technology, and affective and utility reactions did not differ in their relationships with learning outcomes. The current study clarifies the nomological network of reactions and specifies outcomes that are theoretically related to reactions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1037/0021-9010.93.2.280

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 270

Metadata

Authors
Sitzmann, T., Brown, K. G., Casper, W. J., Ely, K., & Zimmerman, R. D.
Venue
Journal of Applied Psychology
Published
2008
Volume
93
Issue
2
Pages
280-295
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2098616943
Cited by
270
References
10
FWCI
2.51
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A review and meta-analysis of the nomological network of trainee reactions. https://app.cochat.ai/papers/10.1037/0021-9010.93.2.280
The paper
Sitzmann, T., Brown, K. G., Casper, W. J., Ely, K., & Zimmerman, R. D. (2008). A review and meta-analysis of the nomological network of trainee reactions. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.93.2.280

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.