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      Development, Construct Validity, and Measurement Invariance of the Parasocial Relationship With Political Figures (PSR-P) Scale

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          Abstract

          Abstract. Parasocial theory views ordinary people’s emotional bonding with political figures as a form of parasocial relationship (PSR). Despite the insights it offers, existing measures of PSR have been criticized conceptually and psychometrically. We developed a new scale of PSR with political figures (PSR-P) and examined the construct validity, factor replicability, and measurement invariance based on samples from culturally and politically diverse countries (i.e., Indonesia, New Zealand, and the United States). In three studies using a panel of experts ( N = 20; Study 1), a convenience adult sample ( N = 212; Study 2), and representative and cross-cultural samples ( N = 897; Study 3), we found that the four-item PSR-R scale provides satisfying construct validity, as well as a replicable factor structure and scalar invariance across countries. The PSR-P scale can be utilized to advance the measurement and application of parasocial theory in the field of social and political psychology. The policy implications of the findings are also discussed.

          Impact and Implications

          This study explores the phenomenon of people’s emotional bonding with political figures and proposes a newly developed scale to measure it as a form of parasocial relationships (the PSR-P scale). The brevity and the psychometric properties of PSR-P scale allow researchers and policymakers to assess the extent to which people’s PSRs with political figures impact the quality of democracy across countries with different political cultures. The results of the study suggested that, if not properly mitigated, people’s PSRs political figures may pose a significant risk to our attempt to build effective, accountable, and inclusive institutions at all levels (Sustainable Development Goal No.16, SDG-16), especially in the context of democracy.

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          Most cited references64

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          A QUANTITATIVE APPROACH TO CONTENT VALIDITY

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            Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety.

            Determining sample size requirements for structural equation modeling (SEM) is a challenge often faced by investigators, peer reviewers, and grant writers. Recent years have seen a large increase in SEMs in the behavioral science literature, but consideration of sample size requirements for applied SEMs often relies on outdated rules-of-thumb. This study used Monte Carlo data simulation techniques to evaluate sample size requirements for common applied SEMs. Across a series of simulations, we systematically varied key model properties, including number of indicators and factors, magnitude of factor loadings and path coefficients, and amount of missing data. We investigated how changes in these parameters affected sample size requirements with respect to statistical power, bias in the parameter estimates, and overall solution propriety. Results revealed a range of sample size requirements (i.e., from 30 to 460 cases), meaningful patterns of association between parameters and sample size, and highlight the limitations of commonly cited rules-of-thumb. The broad "lessons learned" for determining SEM sample size requirements are discussed.
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              Little Jiffy, Mark Iv

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                Author and article information

                Contributors
                Journal
                ipp
                International Perspectives in Psychology
                Research, Practice, Consultation
                Hogrefe Publishing
                2157-3883
                2157-3891
                February 17, 2021
                January 2021
                : 10
                : 1
                : 13-24
                Affiliations
                [ 1 ]Department of Psychology, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia
                [ 2 ]School of Psychology, Massey University, Auckland, New Zealand
                Author notes
                Moh Abdul Hakim, Department of Psychology, Faculty of Medicine, Universitas Sebelas Maret, Indonesia, Jl. Ir Sutami No. 36 A, Surakarta, Indonesia, 57126, m.a.hakim@ 123456staff.uns.ac.id
                Author information
                https://orcid.org/0000-0002-2606-143X
                https://orcid.org/0000-0001-9520-5727
                Article
                ipp_10_1_13
                10.1027/2157-3891/a000002
                efdaf390-9162-4912-b694-0d8cf845e2da
                Copyright @ 2021
                History
                : June 9, 2020
                : November 2, 2020
                : November 14, 2020
                Categories
                Article

                Sociology,Assessment, Evaluation & Research methods,Political science,Psychology,General behavioral science,Public health
                political figures,measurement invariance,parasocial relationships,construct validation,parasocial theory

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