2022
DOI: 10.36713/epra11722
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Individual Work Performance, Public Leadership, and Public Service Motivation: A Causal Model on Professionalism Among the Pacification Committee (Lupong Tagapamayapa) in the Barangays

Abstract: This non-experimental quantitative study found a best-fit structural model of professionalism among 400 Lupong Tagapamayapa [LP] (Pacification) members in the barangays of Panabo City. Statistical tools used in analyzing data were the weighted mean, Pearson r, multiple linear regression, and structural equation modeling (SEM). Results exposed the high-level work performance, public leadership, public service motivation, and professionalism of the Lupong Tagapamayapa. Moreover, the correlation test yielded a si… Show more

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Cited by 3 publications
(3 citation statements)
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References 41 publications
(46 reference statements)
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“…The study utilized Structural Equation Modeling (SEM) to generate the best-fit model for employee satisfaction. Studies that wanted to build structural models use structural equation modeling [15], [16]. SEM can attribute the relationships of variables between the observed and unobserved constructs and provide valid and meaningful results [17], [18], [19], [20].…”
Section: Methodsmentioning
confidence: 99%
“…The study utilized Structural Equation Modeling (SEM) to generate the best-fit model for employee satisfaction. Studies that wanted to build structural models use structural equation modeling [15], [16]. SEM can attribute the relationships of variables between the observed and unobserved constructs and provide valid and meaningful results [17], [18], [19], [20].…”
Section: Methodsmentioning
confidence: 99%
“…Significantly, SEM provides consistency in research where the goodness of fit is necessary [26], [27]. Similar social sciences and public administration studies that built structural models use structural equation modeling [28], [29], [30], [31].…”
Section: Methodsmentioning
confidence: 99%
“…Structural equation modeling (SEM) is commonly used in studies that aim to build structural models (Manuel, Ligan, & Bandiola, 2022;Plaza-Saligumba, Ligan, & Dura, 2022). SEM is capable of attributing relationships between observed and unobserved constructs, yielding valid and meaningful results (Gana & Broc, 2019;Karakaya-Ozyer and Aksu-Dunya, 2018;Keith, 2019;Mueller & Hancock, 2018).…”
Section: Design and Proceduresmentioning
confidence: 99%