Development and Validation of a Structural Model of Work Values
Notice bibliographique
Résumé
Several attempts have been made to build instruments for measuring work values. nfortunately, they tended to lack theoretical support (i.e., empirically driven instruments: Manhardt, 1972), were incomplete (i.e., outdated instruments: Mirels and Garrett, 1971) or had an ambiguous conceptual/operational definition of work values (overlap between work values and other concepts such as organizational values: Van Dyne, Graham and Dienesch, 1994). Driven by the fit paradigm, whereby the congruence between the needs and values of the individual and the inducements provided by the organization should lead to positive individual and organizational outcomes, several studies have sought to define measures of values that would apply equally to individuals and organizations. Although no such instrument to measure work values currently exists, the value model developed by Schwartz can be used to build one. This conceptual framework is promising because it is the most widely tested and thoroughly validated model of general values. It was initiated by Schwartz and Bilsky (1987, 1990), further refined by Schwartz (1992, 1994, 1999) and validated on tens of samples across five continents by Schwartz and his colleagues. According to our conceptual model of values inspired by Schwartz (1992), work values, a particular category of general values related specifically to the work domain, have the same structure as the values defined by Schwartz, along two orthogonal and bipolar axes, clustering in ten distinct motivational domains. The structural relations between work values follow the circular logic of a two-dimensional space projection of the distances between their inter-correlations. According to the Smallest Space Analysis (Guttman, 1968), values that are close to each other on the map have positive strong correlations, while those placed further apart, i.e. nearer the opposite poles of each axis, have strong negative correlations. The sign and strength of the correlations between work values determine their concentric ordering around the centre of the map. This order signals their compatibility in the work value system of an individual, which affects, in turn, the individual’s behavioural choices in work situations. The adaptation of Schwartz’ inventory of values (IV) to the working world underpins our 42-value inventory of work values (IWV). In order to test the six structural hypotheses of this work value model, we collected data from a sample of 174 university professors from two major French language universities in Quebec. Respondents completed an online questionnaire in which they rated the importance of 42 values on a nine-point scale ranging from -1 (opposite of my values) to 7 (fundamental to me). Multidimensional analyses using the Guttman-Lingoes technique confirmed that work values have a circumplex structure on two quasi-orthogonal axes opposing, on the first axis, values related to self-enhancement to those related to self-transcendence and, on the second axis, values related to openness to change to those that focus on conservation. Furthermore, the data matrix fits a ten-factor structure of motivational types clustered, according to the theory, in the four sectors delineated by the two quasi-orthogonal axes, thus confirming the structural hypotheses proposed in this study. In particular, the correlational analysis at the axial level indicates that the “self-enhancement” pole is negatively correlated with the “self-transcendence” pole (-0.64 significant at p There are several limitations that affect the interpretation and generalizability of these results. First, our sample consists solely of professors, which, although considered by Schwartz and Bilsky (1987) as carriers of the characteristic values of a culture, are not representative of the entire working population. Nevertheless, the matched samples strategy allows comparisons between the results of this study and those of Schwartz et al. Second, successive MDS analyses prompted us to progressively eliminate a number of variables initially selected for testing from Schwartz’s list of general values, because of their placement on the MDS map. We attributed the misplacements to methodological explanations related to translation and adaptation of the items, yet structural inconsistencies might also have surfaced. Lastly, this model should be further validated with more diversified samples, and the issue of construct validity should be tested on a nomological network.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,043 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».