Single-item overall job satisfaction (Wanous tradition)
In plain English
Single-item overall job satisfaction (Wanous tradition) is a single item. What it claims to measure: Global (overall) job satisfaction, that is a person's summary evaluative judgement of their job as a whole, captured in one question rather than by aggregating facet items. Licence for an employer or vendor: no formal licence (verified 2026-07-12 (no instrument licence exists to verify; non-proprietary generic item)).
The published evidence is strongest for convergent and discriminant validity; weak for criterion validity against organisational outcomes (absence, turnover, performance). No published evidence was located for test-retest reliability and responsiveness to change: the registry searched and found none in the sweep to date, so if you need those properties evidenced, this instrument does not yet carry them. Criterion validity against a reference standard does not apply to this construct: no reference standard exists for it, so nothing is graded and nothing is missing.
Grades summarise the published evidence for this instrument on its own terms; they are not comparable across instruments, and this page makes no recommendation. Whether an instrument fits your workforce is a judgement this registry informs but cannot make. Full evidence, with citations, below. This summary is generated from the record's data, not written by hand.
Identity
Version: No single canonical form; a family of one-item global job-satisfaction questions (for example 'All in all, how satisfied are you with your job?') typically rated on a 5-point or 7-point scale. The tradition is anchored by the Wanous, Reichers and Hudy (1997) meta-analysis rather than by one authored item.
Structure: 1
Original citation: Wanous JP, Reichers AE, Hudy MJ (1997). Overall job satisfaction: how good are single-item measures? Journal of Applied Psychology 82(2):247-252. doi:10.1037/0021-9010.82.2.247
Steward / publisher: None. This is a non-proprietary generic item described in the peer-reviewed literature; there is no test publisher or licensing steward. Individual journal articles that print an item are under their publishers' copyright, but the one-line question itself is reused freely across the research literature.
Licence status (verified 2026-07-12 (no instrument licence exists to verify; non-proprietary generic item)): No formal instrument licence exists. A single global job-satisfaction question is not a proprietary instrument and has no steward distribution terms; it is used without permission or fee throughout occupational research. Where an item is quoted, the copyright attaching to it is the ordinary copyright of the journal article that printed it, not an instrument licence.
Constructs claimed
Global (overall) job satisfaction, that is a person's summary evaluative judgement of their job as a whole, captured in one question rather than by aggregating facet items.
Relations to other records
- corresponds with Multi-item overall job satisfaction scales (pooled across scales) . Meta-analytic correlation between single-item and multi-item overall job satisfaction measures: r = 0.63 uncorrected, 0.67 corrected, N = 7,682 (Wanous 1997); single-item facet measures against the Job Descriptive Index facets 0.60 to 0.72 (Nagy 2002). No single multi-item job-satisfaction scale has a registry record yet; the relation targets the pooled multi-item literature and will be re-pointed when one is admitted.
Evidence
Structural validity Not applicable (category difference)untestedevidence form: canonical
absence type: category-error the property does not apply to this construct
Not applicable by construction. A single item has no internal factor structure to model, so factor analysis and dimensionality assessment are category errors for this instrument type. The methodological literature makes this explicit when contrasting single-item with multi-item measurement (Fisher, Matthews & Gibbons 2016; Diamantopoulos et al. 2012).
Convergent and discriminant validity Highwell-establishedevidence form: canonical
direct public-agency employees (flag basis: public-agency employees)
This is the best-evidenced property of the tradition. The anchoring meta-analysis pooled 28 correlations from 17 studies (N=7,682) and found a mean uncorrected correlation of .63 (SD .09) between single-item and scale measures of overall job satisfaction, rising to .67 corrected for reliability and to .72 (SD .05) for the strongest subset of scale measures (Wanous, Reichers & Hudy 1997). Extending the approach to facets, Nagy 2002 reported single-item facet items correlating .60 to .72 with the corresponding Job Descriptive Index facet scales (N=207). Dolbier et al. 2005 found a single global item correlated significantly with a multi-item job-satisfaction scale and with work, personality and health variables in 745 public-agency employees. Broader single-item methodological work supports the general pattern that single items track their multi-item counterparts closely enough for many purposes, though multi-item measures usually retain a modest edge (Bergkvist & Rossiter 2007; Fisher, Matthews & Gibbons 2016; Song et al. 2022). Discriminant evidence specific to job satisfaction is thinner than convergent evidence. The best subset in the meta-analysis comprised 8 correlations from 1,735 people, and the reliability-corrected overall mean of .67 carried an SD of .08 (Wanous, Reichers & Hudy 1997); the broader single-item programme drew on N=17 subject matter experts and N=1,634 survey respondents across two samples (Fisher, Matthews & Gibbons 2016) and on ecological momentary assessment data in which single- and multiple-item measures correlated .24 to .61 (Song et al. 2022); the advertising study abstract gives neither a sample size nor a correlation (Bergkvist & Rossiter 2007), and the public-agency study reports no coefficient values in its abstract (Dolbier et al. 2005).
High precondition (rubric 1.6): the cited studies that meet the High precondition, each with a sample size and a statistic of this property; on this population-sensitive property at least one is working-adults or general.
| Study | Sample | Statistic | Population | DOI |
|---|---|---|---|---|
| Wanous, Reichers & Hudy 1997 | 28 correlations from 17 studies, 7,682 people; best group 8 correlations, 1,735 people | uncorrected mean r=.63 (SD .09); corrected for reliability .67 (SD .08); best group .72 (SD .05); minimum single-item reliability estimates .45 to .69 | working-adults | 10.1037/0021-9010.82.2.247 |
| Nagy 2002 | 207 employees | single-item facet measures correlated .60 to .72 with corresponding JDI facets | working-adults | 10.1348/096317902167658 |
Criterion validity: reference standard Absent (the property does not apply to this construct)untestedevidence form: canonical
absence type: category-error the property does not apply to this construct
There is no diagnostic or health reference standard for job satisfaction, which is a subjective attitude rather than a health state, so validation against a gold-standard diagnosis is not a meaningful target for this construct. Health correlations exist (for example associations with self-reported health in Dolbier et al. 2005) but health is a correlate, not a reference standard for the attitude itself.
Criterion validity: organisational Lowthinevidence form: canonical
direct employees (flag basis: employees)
Better supported here than for many attitude measures, though still limited. Nagy 2002 found single-item satisfaction accounted for incremental variance in self-reported job performance and turnover intentions beyond the Job Descriptive Index. Dolbier et al. 2005 showed a single item substantially predicted turnover intention by logistic regression in 745 employees. Evidence against hard organisational outcomes (recorded sickness absence, actual turnover, objective performance) rather than self-reported intentions is sparse for the single-item form specifically, so the grade is held down. Overall organisational-criterion evidence for the one-item measure is present but modest.
Internal consistency Not applicable (category difference)untestedevidence form: canonical
absence type: category-error the property does not apply to this construct
Not applicable. A single item has no inter-item covariance, so Cronbach alpha and omega cannot be computed. Reliability for a single item is instead estimated indirectly: Wanous, Reichers and Hudy used the correction-for-attenuation formula to back out a minimum reliability of roughly .45 to .69 depending on assumptions (Wanous, Reichers & Hudy 1997), a method set out more fully in Wanous & Reichers 1996. This estimated reliability (~0.67) is a corrected convergence estimate, not an internal-consistency coefficient, and must not be read as one.
Test-retest reliability Absent (searched; none found in the sweep to date)untestedevidence form: canonical
absence type: population-general searched; none found in the sweep to date
No direct test-retest coefficient for a single-item overall job-satisfaction measure was located in the latest review pass. The tradition's reliability estimates are correction-for-attenuation estimates derived from cross-sectional convergence with multi-item scales (~0.67 corrected; minimum ~0.45 to .69), NOT test-retest stability coefficients (Wanous, Reichers & Hudy 1997; Wanous & Reichers 1996). The absence of a genuine temporal-stability coefficient for the single job-satisfaction item is itself the finding and a real gap. Fisher, Matthews & Gibbons 2016 reported 1-month and 3-month test-retest reliabilities for a battery of single organisational items, but those coefficients are not cleanly attributable to a specific canonical global job-satisfaction item and are treated as parent-battery evidence rather than a coefficient for this form.
Measurement invariance Not applicable (category difference)untestedevidence form: canonical
absence type: category-error the property does not apply to this construct
Not applicable in the conventional multi-group confirmatory-factor sense, because a single item has no measurement model to constrain across groups. No study locating differential item functioning or equivalent single-item invariance evidence across sex, age, occupation or language for a global job-satisfaction item was found in the latest review pass.
Responsiveness and MIC Absent (searched; none found in the sweep to date)untestedevidence form: canonical
absence type: population-general searched; none found in the sweep to date
No responsiveness or minimal-important-change evidence for a single-item overall job-satisfaction measure was located in the latest review pass. This is a genuine gap rather than a category error.
Populations, languages and norms
Used very widely in occupational and organisational research across many countries and languages, but as a generic method rather than a standardised instrument with published norms. The anchoring evidence is predominantly North American (Wanous, Reichers & Hudy 1997; Nagy 2002; Dolbier et al. 2005), with a UK university-staff study by Oshagbemi 1999 reaching broadly similar conclusions about single versus multiple-item measures. There is no canonical norm table for a working-adult population in any country.
Criticisms and controversies
The single-item measurement debate is the core controversy of this whole track. Critics hold that single items cannot demonstrate internal reliability, cannot separate content from error, and lose the domain coverage of multi-item scales, so that multi-item measures should remain the default (Fisher, Matthews & Gibbons 2016; Song et al. 2022). Defenders argue that for concrete, singular and well-understood constructs single items can match multi-item scales in predictive validity while cutting respondent burden (Bergkvist & Rossiter 2007; Gardner et al. 1998), and structured guidance now exists on when a single item is defensible (Diamantopoulos et al. 2012). A specific hazard for job satisfaction is that the estimated ~0.67 reliability is a correction-for-attenuation artefact, not a measured reliability, and is easily over-interpreted. Global items also cannot localise dissatisfaction to a facet, limiting diagnostic and action-planning use.
References (12)
- Wanous; Reichers; Hudy (1997). Overall job satisfaction: How good are single-item measures? https://doi.org/10.1037/0021-9010.82.2.247
- Wanous; Reichers (1996). Estimating the Reliability of a Single-Item Measure https://doi.org/10.2466/pr0.1996.78.2.631
- Wanous; Hudy (2001). Single-Item Reliability: A Replication and Extension https://doi.org/10.1177/109442810144003
- Nagy (2002). Using a single‐item approach to measure facet job satisfaction https://doi.org/10.1348/096317902167658
- Dolbier; Webster; McCalister et al. (2005). Reliability and Validity of a Single-Item Measure of Job Satisfaction https://doi.org/10.4278/0890-1171-19.3.194
- Oshagbemi (1999). Overall job satisfaction: how good are single versus multiple‐item measures? https://doi.org/10.1108/02683949910277148
- SCARPELLO; CAMPBELL (1983). JOB SATISFACTION: ARE ALL THE PARTS THERE? https://doi.org/10.1111/j.1744-6570.1983.tb02236.x
- Gardner; Cummings; Dunham et al. (1998). Single-Item Versus Multiple-Item Measurement Scales: An Empirical Comparison https://doi.org/10.1177/0013164498058006003
- Bergkvist; Rossiter (2007). The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs https://doi.org/10.1509/jmkr.44.2.175
- Fisher; Matthews; Gibbons (2016). Developing and investigating the use of single-item measures in organizational research. https://doi.org/10.1037/a0039139
- Diamantopoulos; Sarstedt; Fuchs et al. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective https://doi.org/10.1007/s11747-011-0300-3
- Song; Howe; Oltmanns et al. (2022). Examining the Concurrent and Predictive Validity of Single Items in Ecological Momentary Assessments https://doi.org/10.1177/10731911221113563
Record notes
Overall confidence: convergent validity High and well-established (the meta-analytic anchor is strong); organisational criterion validity Low and thin; test-retest genuinely Absent for the single-item job-satisfaction form specifically. This record also carries the single-item-measures-as-a-class discussion for the track. The v0.2 schema is a good fit for single items once scale-level properties (structural validity, internal consistency, invariance) are marked Not-applicable rather than Absent; the one field the schema still made awkward is reliability, because the tradition's headline ~0.67 'reliability' is a corrected convergence estimate that belongs neither in internal_consistency (no items to correlate) nor in test_retest_reliability (not a stability coefficient), so it is documented in the internal_consistency and test-retest summaries with an explicit warning against misreading it as either. The evidence base is working-adult and predominantly North American, with a UK university-staff replication; no norm table exists in any country.