Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,566

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Measuring Meaningful Work: The Work and Meaning Inventory (WAMI)

Steger, Michael F., Dik, Bryan J., Duffy, Ryan D.·2012·Journal of Career Assessment

Abstract

Many people desire work that is meaningful. However, research in this area has attracted diverse ideas about meaningful work (MW), accompanied by an equally disparate collection of ways of assessing MW. To further advance study in this area, the authors propose a multidimensional model of work as a subjectively meaningful experience consisting of experiencing positive meaning in work, sensing that work is a key avenue for making meaning, and perceiving one’s work to benefit some greater good. The development of a scale to measure these dimensions is described, an initial appraisal of the reliability and construct validity of the instrument’s scores is reported using a sample of university employees ( N = 370) representing diverse occupations. MW scores correlated in predicted ways with work-related and general well-being indices, and accounted for unique variance beyond common predictors of job satisfaction, days reported absent from work, and life satisfaction. The authors discuss ways in which this conceptual model provides advantages to scholars, counselors, and organizations interested in fostering MW.

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 · 10.1177/1069072711436160

Cites

6 of 6 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 6 references

Cited by

See all 1,566

Metadata

Authors
Steger, M. F., Dik, B. J., & Duffy, R. D.
Venue
Journal of Career Assessment
Published
2012-02-19
Volume
20
Issue
3
Pages
322-337
ISSN
  • 1069-0727 (ISSN-L)
  • 1552-4590
OpenAlex
W2126877580
Cited by
1,566
References
6
FWCI
66.04
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: Measuring Meaningful Work: The Work and Meaning Inventory (WAMI). https://app.cochat.ai/papers/10.1177/1069072711436160
The paper
Steger, M. F., Dik, B. J., & Duffy, R. D. (2012). Measuring Meaningful Work: The Work and Meaning Inventory (WAMI). Journal of Career Assessment. https://doi.org/10.1177/1069072711436160

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.