| Category | Details |
|---|---|
| Description | The Algorithmic Management Questionnaire (AMQ; Parent-Rocheleau et al., 2024) was designed to assess workers’ perceived exposure to algorithmic management (AM) in areas such as monitoring, goal setting, scheduling, performance rating, and compensation. The measure was developed using a deductive approach (Hinkin, 1998) to ensure theoretical relevance. Initial item selection was based on a literature review of AM functions, with criteria requiring peer-reviewed sources, sufficient interview transcripts, and coverage of at least one AM function (e.g., Lehdonvirta, 2018; Möhlmann et al., 2021; Rahman, 2021; Wood et al., 2019). The original item pool contained 36 items (six per function), which was refined through content validity analysis. The final version consists of 20 items, confirmed through factor analysis across three participant samples. Psychometric results indicated strong reliability and validity. |
| Author | Parent-Rocheleau, Xavier; Parker, Sharon K.; Bujold, Antoine; Gaudet, Marie-Claude |
| ORCID | Parent-Rocheleau, Xavier: 0000-0001-5015-3214 Parker, Sharon K.: 0000-0002-0978-1873 Bujold, Antoine: 0000-0002-6784-4895 |
| Purpose | The AMQ evaluates the extent to which employees perceive exposure to algorithmic management in various workplace functions. |
| Construct | Algorithmic Control; Algorithmic Management |
| Instrument Type | Inventory/Questionnaire |
| Test Type | Original |
| Alternate Test Names | AMQ |
| Test Year | 2024 |
| Administration Method | Electronic |
| Format | Participants respond to 20 items on a seven-point Likert scale (1 = completely disagree, 7 = strongly disagree). |
| Number of Items | 20 |
| Factors and Subscales | Monitoring, Goal Setting, Scheduling, Performance Rating, Compensation |
| Reliability | Internal consistency: Cronbach’s alpha ranged from 0.810 to 0.907 across dimensions. |
| Validity | – Content Validity: Evaluated and confirmed based on meaningfulness and relevance to workplace functions. – Discriminant Validity: Low correlations (0.03-0.22) between AM functions and an external criterion variable. – Convergent Validity: Moderate to high correlations with system usefulness (0.43-0.53) and ease of use (0.35-0.43). – Predictive Validity: AM exposure at T1 negatively predicted job autonomy (β = -0.24, p < 0.01) and job complexity (β = -0.26, p < 0.01). |
| Factor Analysis | Confirmatory factor analysis supported the five-factor structure, with excellent model fit: Model 1: χ²(162) = 346.8, CFI = 0.975, TLI = 0.971, RMSEA = 0.048, SRMR = 0.044. A second sample confirmed good fit: χ²(161) = 300.29, CFI = 0.968, TLI = 0.962, RMSEA = 0.049, SRMR = 0.052. |
| Test Methodology | Test Validity; Content Validity; Convergent Validity; Discriminant Validity; Predictive Validity; Test Reliability; Internal Consistency; Factor Analysis; Confirmatory Factor Analysis |
| Classification | 7000 Organizational, Occupational, and Career Development |
| Age Group | Adulthood (18+); Young Adulthood (18-29); Thirties (30-39) |
| Population Group | Human; Male; Female |
| Population Details | Respondents: Mechanical Turk Participants |
| Keywords | Algorithmic Control; Algorithmic Decision-Making; Algorithmic Management; Compensation; Employee Perceptions; Factorial Validity; Goal Setting; Monitoring; Performance Rating; Scheduling |
| Index Terms | Automation; Decision Making; Employee Attitudes; Factorial Validity; Goal Setting; Job Performance; Management Methods; Monitoring; Salaries; Work Scheduling; Human Resource Management; Organizational and Occupational Measures; Optimization Algorithms |
| Affiliation | Parent-Rocheleau, Xavier – HEC Montreal Parker, Sharon K. – Curtin University Centre for Transformative Work Design Bujold, Antoine – HEC Montreal Gaudet, Marie-Claude – HEC Montreal |
| Correspondence Address | Parent-Rocheleau, Xavier: HEC Montreal, Montreal, Quebec, Canada, [email protected] |
| Parent-Rocheleau, Xavier: [email protected] | |
| Files | No file available for download. |
| Reference | Parent‐Rocheleau, X., Parker, S. K., Bujold, A., & Gaudet, M.‐C. (2024). Creation of the Algorithmic Management Questionnaire: A six‐phase scale development process. Human Resource Management, 63(1), 25–44. https://doi.org/10.1002/hrm.22185 |
Cite this article
Mohammed looti (2026). Algorithmic Management Questionnaire. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/s/algorithmic-management-questionnaire/
Mohammed looti. "Algorithmic Management Questionnaire." PSYCHOLOGICAL SCALES, 4 Apr. 2026, https://scales.arabpsychology.com/s/algorithmic-management-questionnaire/.
Mohammed looti. "Algorithmic Management Questionnaire." PSYCHOLOGICAL SCALES, 2026. https://scales.arabpsychology.com/s/algorithmic-management-questionnaire/.
Mohammed looti (2026) 'Algorithmic Management Questionnaire', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/s/algorithmic-management-questionnaire/.
[1] Mohammed looti, "Algorithmic Management Questionnaire," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, April, 2026.
Mohammed looti. Algorithmic Management Questionnaire. PSYCHOLOGICAL SCALES. 2026;vol(issue):pages.