Determinants of Support for COVID-19 Lockdown Measures–Model Inventory

Abstract

The Determinants of Support for COVID-19 Lockdown Measures—Model (Wang, 2022) was developed for a study investigating factors associated with public support for a lockdown in China during the COVID-19 pandemic. The proposed items were adapted from previous research (e.g., Triandis & Gelfand, 1998; Fishbein & Ajzen, 2010; Rosenstock, 1974). The resulting measure was administered to a sample of Chinese participants. Results concerning factor structure, reliability, and validity were reported.

Keywords

Communitarian Worldviews; Experiential Attitudes; Instrumental Attitudes; Perceived Severity; Perceived Susceptibility; Policy Support; Subjective Norms; Government Policy Making; Pandemics; Risk Perception; Social Norms; World View; Social and Interpersonal Measures; Health Psychology Assessment; COVID-19; Public Health Attitudes; COVID-19 Lockdown; Policy Support.

Authors

Wang, Xiao

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Purpose

The purpose of this measurement model is to assess the determinants of support for lockdown in China during the COVID-19 pandemic.

Validity

Test validity: Two constructs had an AVE of .47 or .48, but standardized factor loadings ranged from .62 to .74 and construct reliabilities were .77 and .73, which were acceptable.

Reliability

Internal consistency: Alpha coefficients ranged from .65-.93 among the constructs, while construct reliability ranged from .73-.94.

Factor Analysis

Confirmatory factor analysis: Based on the robust maximum likelihood estimate in LISREL, the model showed satisfactory fit statistics: Satorra-Bentler χ2 (209, N = 528) = 318.8, p < .001, root mean square error of approximation (RMSEA) = .032, 90% confidence interval (CI) of RMSEA = .024 ~ .038, comparative fit index = .99, and standardized root mean square residual = .045.

Instrument

Test Type: Original

Format: Responses range from 1 (strongly disagree) to 7 (strongly agree). No data is Available for Test Items.

Language Available: English

Population Group: Human; Male; Female

Age Group: Average Age of 29.7 Years

Population Details: Location: China; Respondents: Chinese Participants

Test Methodology: Test Validity; Test Reliability; Internal Consistency; Factor Analysis; Confirmatory Factor Analysis; Measurement Model

Keywords

COVID-19 Lockdown; Policy Support

Authors

Author ORCID Identifier: Wang, Xiao: http://orcid.org/0000-0002-0326-4832

Affiliation: Wang, Xiao: Rochester Institute of Technology School of Communication

Email addresses: [email protected]

Correspondence Address: Wang, Xiao: Rochester Institute of Technology, School of Communication, 92 Lomb Memorial Drive, Rochester, New York, United States, [email protected]

Permissions & Fee and Test Year

Permissions: Contact Corresponding Author

Commercial: No

Fee: No

Test Year: 2023

References

Wang, X. (2022). Factors associated with public support for a lockdown measure in China during the COVID‐19 pandemic. Asian Journal of Social Psychology, 25(4), 658–673. https://doi.org/10.1111/ajsp.12526

Items of the Determinants of Support for COVID-19 Lockdown Measures–Model

This is a 24-item measure.

Factors and Subscales: Constructs: Communitarian worldviews; Perceived susceptibility; Perceived severity; Experiential attitudes; Instrumental attitudes; Subjective norms; Policy support.