Short-Form Workplace Social Capital Questionnaire – Persian Version

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Abstract

Social capital is traditionally understood as the networks, norms, and trust that facilitate coordination and cooperation within a community. However, because Adults spend a vast majority of their waking hours at work, the workplace serves as a primary social ecosystem where these dynamics play out. The Short-Form Workplace Social Capital Questionnaire is an 8-item instrument originally developed by Kouvonen and colleagues to capture these essential social dynamics in occupational settings. It distills complex sociological concepts into a brief, highly practical tool that measures the quality of interactions, trust, and shared values among Employees and their supervisors.

The Persian adaptation of this scale was specifically validated for use among female healthcare workers in Iran, a demographic for whom teamwork and communication are critical to both occupational well-being and patient safety. By translating and culturally adapting the instrument, researchers aimed to provide a robust psychometric tool capable of assessing organizational health in Iranian clinical settings. The adaptation process revealed fascinating cultural nuances in how social capital is structured, highlighting a distinct separation between peer-level cohesion and management-level commitment.

For psychometricians and organizational researchers, this validation study underscores the importance of Cross-cultural adaptation. It demonstrates that while the overarching concept of Workplace Social Capital is universal, its internal factor structure can shift depending on local management styles and cultural norms. The resulting Persian version offers a psychometrically sound, highly efficient measure for evaluating the social fabric of healthcare organizations in Iran.

📊 Psychometric Scorecard

Items Count
8
Structure
Multidimensional
Cronbach's α
0.80
McDonald's ω
0.79
Validation Country
📍 Iran

Translation Method: Forward-backward translation (WHO protocol)

Authors

🏛 Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran

🏛 Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran

🏛 Behavioral Sciences Research Center, Life Style Institute, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, IR Iran

🏛 Department of Nursing, School of Nursing and Midwifery Amol, Mazandaran University of Medical Sciences, Sari, Iran

🏛 Finnish Institute of occupational health, Turku, Finland

🏛 Faculty of Social Sciences, University of Helsinki, Helsinki, Finland

🏛 Department of Social Sciences, University of Mazandaran, Babolsar, Iran

Purpose

The primary purpose of this instrument is to provide a culturally validated, highly efficient measure of social capital specifically tailored for the workplace environment. Historically, social capital has been measured using broad, community-level or neighborhood scales. These traditional tools often fail to capture the unique hierarchical and collaborative dynamics of a professional organization. In healthcare settings, where Nurses rely heavily on rapid information exchange, mutual trust, and supervisory support, having a targeted measure is essential for understanding organizational health and its impact on patient care.

This scale fills a critical gap by offering Iranian researchers and hospital administrators a standardized tool to quantify the social resources available to their staff. By utilizing a brief 8-item format, it minimizes respondent burden—a crucial consideration when surveying busy clinical professionals. Ultimately, the scale allows organizations to identify deficits in team cohesion or management support, paving the way for targeted interventions to improve employee retention, job satisfaction, and overall clinical efficacy.

Construct

Workplace Social Capital is a multifaceted psychological and sociological construct that encompasses the structural and cognitive features of a work environment. Structurally, it involves the visible networks and interactions between Employees, while cognitively, it captures the shared values, trust, and norms of reciprocity that govern those interactions. Theoretical frameworks often divide social capital into three levels: bonding (connections between similar peers), bridging (connections across different groups or departments), and linking (vertical connections across power differentials, such as between staff and management).

In the Persian adaptation of this scale, the construct naturally bifurcated into two distinct dimensions that align beautifully with these theoretical levels. The first dimension, 'Group Cohesion', captures the horizontal, bonding capital among Nursing peers—reflecting mutual support, shared goals, and collaborative teamwork. The second dimension, 'Committed Management', captures the vertical, linking capital between the Nurses and their supervisors. This two-factor structure highlights how, in certain cultural and organizational contexts, the social resources derived from peer relationships are processed quite differently from the resources provided by institutional leadership.

Validity

The validation of this scale employed a comprehensive, multi-trait approach to ensure the instrument accurately measures what it claims to measure. Content validity was rigorously established through a formal translation protocol (WHO guidelines) and expert panel review, with all items achieving an Item-Level Content Validity Index (I-ICV) well above the standard threshold of 0.79. This ensures that the translated items remain conceptually equivalent to the original Finnish/English versions while being culturally resonant for Iranian respondents.

Construct validity was further supported by examining both convergent and discriminant validity metrics derived from the Factor analysis. Convergent validity was confirmed because the Average Variance Extracted (AVE) for both factors exceeded the 0.50 benchmark, and the Construct Reliability (CR) was greater than the AVE. This indicates that the items within each subscale share a high proportion of variance, meaning they are reliably measuring the same underlying facet of social capital. Discriminant validity was established by showing that the AVE was greater than the Maximum Shared Variance (MSV) between the factors, proving that 'Group Cohesion' and 'Committed Management' are statistically distinct concepts rather than redundant measures of a single global trait.

Reliability

Reliability testing for this instrument went beyond the standard reporting of Cronbach's alpha, offering a robust evaluation of internal consistency and temporal stability. The researchers calculated Cronbach's alpha, Theta, and McDonald's Omega, with values ranging from 0.79 to 0.90 across the two factors. For graduate students, the inclusion of McDonald's Omega is particularly noteworthy, as it does not assume tau-equivalence (equal factor loadings for all items) and often provides a more accurate estimate of reliability for multidimensional scales.

In addition to internal consistency, the scale demonstrated solid test-retest reliability over a two-week interval, yielding an Intra-class Correlation Coefficient (ICC) of 0.71. This suggests that the scale measures stable organizational traits rather than transient daily moods. The researchers also calculated the Standard Error of Measurement (SEM) at 2.67 and a Minimal Detectable Change (MDC%) of 28%. These absolute reliability metrics are crucial for clinicians and researchers who want to use the scale longitudinally, as they define exactly how much a score must change before it can be considered a true, statistically significant shift in Workplace Social Capital.

Factor Analysis

The factor structure of the Persian version was investigated using both Exploratory Factor analysis (EFA) and Confirmatory Factor analysis (CFA), utilizing a split-sample approach (n=250 for each). The EFA, deemed appropriate by a strong Kaiser-Meyer-Olkin (KMO) measure of 0.839, utilized a promax rotation to allow for natural correlations between the factors. This analysis extracted two distinct factors with eigenvalues greater than 1, which together explained an impressive 65% of the total variance. This is a strong result, as variance explained above 50-60% is generally considered highly adequate in psychological research.

The two extracted factors mapped cleanly onto conceptual domains: five items loaded onto 'Group Cohesion' (peer-to-peer interactions) and three items loaded onto 'Committed Management' (supervisor-subordinate interactions). This differs slightly from the original Finnish validation, which identified 'trust' and 'participation' as the primary dimensions. The CFA subsequently confirmed this new two-factor model, demonstrating good overall fit. The researchers noted that correlated measurement errors were allowed between a few conceptually similar items, a common and acceptable practice in CFA when items share specific phrasing or localized meaning beyond the primary latent factor.

Subscales

Subscale Items Description
Group Cohesion 1, 2, 3, 4, 5 Measures horizontal social capital, including peer collaboration, mutual trust, shared values, and participation among coworkers.
Committed Management 6, 7, 8 Measures vertical or linking social capital, focusing on the perceived support, fairness, and conflict-resolution capabilities of Nursing management.

Instrument

Test Type Self-report questionnaire
Format 8 items, 5-point Likert scale (1 = totally disagree to 5 = totally agree)
Scoring Scores are summed or averaged. Higher scores indicate higher levels of Workplace Social Capital. It can be aggregated to measure social capital at the work unit level.
Language Persian
Population Adults, Healthcare professionals, Nurses, Employees
Age Group Adults (Mean age = 35.9 years)
Administration Paper-and-pencil or digital self-administration
Completion Time Approximately 2-5 minutes

Short-Form Workplace Social Capital Questionnaire – Persian Version Items

📋 Items are currently not available

The individual items of this scale are not publicly available. Researchers interested in using this instrument should contact the original authors directly to request the scale materials.

Sample

The sample consisted of 440 female Nurses recruited via stratified random sampling from 10 hospitals and health care centers affiliated with Babol University of Medical Sciences in northern Iran. Participants had a mean age of 35.9 years (SD = 8.4) and a median job tenure of 10 years. The majority were shift workers (65%), married (76.4%), and held a bachelor's degree (77.3%).

Permissions & Test Year

The questionnaire was translated and adapted with formal permission from the original author, Professor Anne Kouvonen. Usage of the Persian version for research purposes generally requires citation of the validation study.

Test Year: 2018

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References
46 references
  1. Pattussi MP (2006). [Social capital and the research agenda in epidemiology. Cadernos de Saúde Pública, 22 1525. 🔗 https://doi.org/10.1590/S0102-311X2006000800002
  2. Putnam RD. Bowling alone: The collapse and revival of American community. Simon and Schuster Paperbacks, New York,  2001. 🔗 https://doi.org/10.1145/358916.361990
  3. Islam MK (2006). Social capital and health: Does egalitarianism matter? A literature review. Int J Equity Health, 5 3. 🔗 https://doi.org/10.1186/1475-9276-5-3
  4. Szreter S (2004). Health by association? Social capital, social theory, and the political economy of public health. Int J Epidemiol, 33 650. 🔗 https://doi.org/10.1093/ije/dyh013
  5. Stone W (2002). Social capital: Empirical meaning and measurement validity. Australian Institute of Family Studies Melbourne, 61 62.
  6. Kouvonen A (2006). Psychometric evaluation of a short measure of social capital at work. BMC Public Health, 6 251. 🔗 https://doi.org/10.1186/1471-2458-6-251
  7. Kawachi I (1999). Social capital and self-rated health: a contextual analysis. Am J Public Health, 89 1187. 🔗 https://doi.org/10.2105/AJPH.89.8.1187
  8. Read EA (2014). Workplace Social Capital in Nursing: an evolutionary concept analysis. J Adv Nurs, 70 997. 🔗 https://doi.org/10.1111/jan.12251
  9. Wagner SL (2015). Social support and supervisory quality interventions in the workplace: a stakeholder-centered best-evidence synthesis of systematic reviews on work outcomes. Int J Occup Environ Med, 6 189. 🔗 https://doi.org/10.15171/ijoem.2015.608
  10. De Silva MJ (2006). Psychometric and cognitive validation of a social capital measurement tool in Peru and Vietnam. Soc Sci Med, 62 941. 🔗 https://doi.org/10.1016/j.socscimed.2005.06.050
  11. Mohan J (2005). Social capital, geography and health: a small-area analysis for England. Soc Sci Med, 60 1267. 🔗 https://doi.org/10.1016/j.socscimed.2004.06.050
  12. De Silva MJ (2007). Social capital and mental health: a comparative analysis of four low income countries. Soc Sci Med, 64 5. 🔗 https://doi.org/10.1016/j.socscimed.2006.08.044
  13. Kawachi I (2004). Commentary: Reconciling the three accounts of social capital. Int J Epidemiol, 33 682. 🔗 https://doi.org/10.1093/ije/dyh177
  14. Read EA, Laschinger HK, Wong CA, et al. Development and Validation of a Workplace Social Capital Questionnaire for Nurses (WSCQ-N).  2016. Available from www.nursingrepository.org/bitstream/handle/10755/616523/50_Read_E_p78772_1.pdf;jsessionid=AD999503260A8B2B97110F8684BC8054?sequence=1 (Accessed December 5, 2017).
  15. Sheingold BH (2013). Using a social capital framework to enhance measurement of the Nursing work environment. J Nurs Manag, 21 790. 🔗 https://doi.org/10.1111/jonm.12127
  16. Oksanen T (2012). Workplace Social Capital and risk of chronic and severe hypertension: a cohort study. J Hypertens, 30 1129. 🔗 https://doi.org/10.1097/HJH.0b013e32835377ed
  17. Oksanen T (2012). Social capital at work as a predictor of employee health: multilevel evidence from work units in Finland. J Hypertens, 30 1129.
  18. Oksanen T (2010). Prospective study of Workplace Social Capital and depression: are vertical and horizontal components equally important?. J Epidemiol Community Health, 64 684. 🔗 https://doi.org/10.1136/jech.2008.086074
  19. Idrovo AJ (2012). Social capital at work: psychometric analysis of a short scale in Spanish among Mexican health workers. Rev Bras Epidemiol, 15 536.
  20. Plichta SB, Kelvin EA, Munro BH. Munro s statistical methods for health care research. 6th ed. Wolters Kluwer Health/Lippincott Williams & Wilkins,  2013.
  21. WHO. A conceptual framework for action on the social determinants of health.  2010. Available from www.who.int/sdhconference/resources/ConceptualframeworkforactiononSDH_eng.pdf (Accessed December 5, 2017).
  22. Colton D, Covert RW. Designing and Constructing Instruments for Social Research and Evaluation. Wiley,  2015.
  23. Lawshe CH (1975). A quantitative approach to content validity. Personnel Psychology, 28 563. 🔗 https://doi.org/10.1111/j.1744-6570.1975.tb01393.x
  24. Polit-O'Hara D, Beck CT. Essentials of Nursing Research: Methods, Appraisal, and Utilization. Lippincott Williams & Wilkins,  2006.
  25. Baumgartner H (1996). Applications of structural equation modeling in marketing and consumer research: A review. IJRM, 13 139.
  26. Fok D. Development and Testing of a Low Vision Product Selection Instrument (LV-PSI): A Mixed-Methods Approach: The University of Western Ontario; 2011. [Thesis].
  27. Kellar SP, Kelvin E. Munro's Statistical Methods for Health Care Research. Lippincott Williams & Wilkins; 2005.
  28. Samitsch C. Data Quality and Its Impacts on Decision-making, How Managers Can Benefit from Good Data. Springer,2014. 🔗 https://doi.org/10.1007/978-3-658-08200-0
  29. Jaccard J, Wan CK. LISREL approaches to interaction effects in multiple regression. Thousand Oaks, CA, US, Sage Publications, Inc,  1996. 🔗 https://doi.org/10.4135/9781412984782
  30. Hooper D (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6 53.
  31. Fornell C (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. J Mark Res, 19 440. 🔗 https://doi.org/10.1177/002224378201900406
  32. Ahadzadeh AS (2015). Integrating health belief model and technology acceptance model: an investigation of health-related internet use. J Med Internet Res, 17 e45. 🔗 https://doi.org/10.2196/jmir.3564
  33. Javali S B (2011). Effect of Varying Sample Size in Estimation of Coefficients of Internal Consistency. WebmedCentral Biostatistics, 2 WMC001649.
  34. Hair JF (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. J Academy Market Sci, 40 414. 🔗 https://doi.org/10.1007/s11747-011-0261-6
  35. Landis JR (1977). The measurement of observer agreement for categorical data. Biometrics, 33 159. 🔗 https://doi.org/10.2307/2529310
  36. Huang S-L (2011). Minimal detectable change of the timed “up & go” test and the dynamic gait index in people with Parkinson disease. Phys Ther, 91 114. 🔗 https://doi.org/10.2522/ptj.20090126
  37. Sharif Nia H (2017). Psychometric Evaluation of Persian Version of Death Depression Scale in Iranian Patients with Acute Myocardial Infarction. Iran J Psychiatry, 12 172.
  38. Raoprasert T, Islam SM. Designing an Efficient Management System: modeling of convergence factors exemplified by the case of Japanese businesses in Thailand. Springer Science & Business Media,  2010. 🔗 https://doi.org/10.1007/978-3-7908-2372-1
  39. Harrington D. Confirmatory Factor analysis. Oxford University Press,  2008. 🔗 https://doi.org/10.1093/acprof:oso/9780195339888.001.0001
  40. Tabachnick BG, Fidell LS. Using Multivariate Statistics. 4th ed. Allyn and Bacon,  2001.
  41. Beaton DE (2000). Guidelines for the process of Cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976), 25 3186. 🔗 https://doi.org/10.1097/00007632-200012150-00014
  42. Hair J, Black W, Babin B, Anderson R. Multivariate Data Analysis. 8th ed. Pearson Education,  2016.
  43. Babaeipour-Divshali M (2015). [Evaluation of scales and barriers of managerial performance of head Nurses based on BARS performance evaluation model in Rasht, 2011. ] Journal of Clinical Nursing and Midwifery, 4 1.
  44. King CM. Current and Future Leadership Competencies of the Perinatal Nurse Managers-Leaders in West Virginia's 27 Delivery Hospitals: University of Charleston-Beckley; 2014.
  45. Havig AK (2011). Leadership, staffing and quality of care in Nursing homes. BMC Health Services Research, 11 327. 🔗 https://doi.org/10.1186/1472-6963-11-327
  46. Mozafari M (2016). Validation of multidimensional Persian version of the work-family conflict questionnaire among Nurses. Int J Occup Environ Med, 7 164. 🔗 https://doi.org/10.15171/ijoem.2016.748

Cite this article

Mohammed looti (2026). Short-Form Workplace Social Capital Questionnaire – Persian Version. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/s/short-form-workplace-social-capital-questionnaire-persian-version/

Mohammed looti. "Short-Form Workplace Social Capital Questionnaire – Persian Version." PSYCHOLOGICAL SCALES, 14 Aug. 2026, https://scales.arabpsychology.com/s/short-form-workplace-social-capital-questionnaire-persian-version/.

Mohammed looti. "Short-Form Workplace Social Capital Questionnaire – Persian Version." PSYCHOLOGICAL SCALES, 2026. https://scales.arabpsychology.com/s/short-form-workplace-social-capital-questionnaire-persian-version/.

Mohammed looti (2026) 'Short-Form Workplace Social Capital Questionnaire – Persian Version', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/s/short-form-workplace-social-capital-questionnaire-persian-version/.

[1] Mohammed looti, "Short-Form Workplace Social Capital Questionnaire – Persian Version," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, August, 2026.

Mohammed looti. Short-Form Workplace Social Capital Questionnaire – Persian Version. PSYCHOLOGICAL SCALES. 2026;vol(issue):pages.

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