CONFIRMATORY FACTOR ANALYSIS OF JOB RELEVANT INFORMATION, BUDGET AND PERFORMANCE PARTICIPATION OF APPARATUS REGIONAL GOVERNMENT OF MALANG REGENCY

The purpose of this study was to analyze the confirmatory factors of job relevant information, participation in budgeting and the performance of local government apparatus in the Regional Government of Malang Regency. Analysis of the data used in the study using confirmatory factor analysis (CFA) technique, the results of the study showed that active indicators contributed to the strongest budgeting as a variable forming Budget Participation, the indicator gained the strongest strategy as a variable Job relevant information and indicators set budget targets with the strongest resources and time determined as a variable for apparatus performance

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Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽

10.1027/1614-2241/a000033 ◽

2011 ◽

Vol 7 (4) ◽

pp. 157-164

Author(s):

Karl Schweizer

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Cognitive Processing ◽

Latent Variables ◽

Repeated Measures ◽

Latent Variable ◽

Model Fit ◽

Repeated Measures Data ◽

Confirmatory Factor ◽

And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

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The CSGU: A Measure of Controllability, Stability, Globality, and Universality Attributions

Journal of Sport and Exercise Psychology ◽

10.1123/jsep.30.5.611 ◽

2008 ◽

Vol 30 (5) ◽

pp. 611-641 ◽

Cited By ~ 16

Author(s):

Pete Coffee ◽

Tim Rees

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Construct Validity ◽

Self Efficacy ◽

Interactive Effects ◽

Hierarchical Regression ◽

Regression Analyses ◽

Confirmatory Factor ◽

And Performance

This article reports initial evidence of construct validity for a four-factor measure of attributions assessing the dimensions of controllability, stability, globality, and universality (the CSGU). In Study 1, using confirmatory factor analysis, factors were confirmed across least successful and most successful conditions. In Study 2, following less successful performances, correlations supported hypothesized relationships between subscales of the CSGU and subscales of the CDSII (McAuley, Duncan, & Russell, 1992). In Study 3, following less successful performances, moderated hierarchical regression analyses demonstrated that individuals have higher subsequent self-efficacy when they perceive causes of performance as controllable, and/or specific, and/or universal. An interaction for controllability and stability demonstrated that if causes are perceived as likely to recur, it is important to perceive that causes are controllable. Researchers are encouraged to use the CSGU to examine main and interactive effects of controllability and generalizability attributions upon outcomes such as self-efficacy, emotions, and performance.

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Organizational Capital: A Resource for Changing and Performing in Public Administrations

Sustainability ◽

10.3390/su13105436 ◽

2021 ◽

Vol 13 (10) ◽

pp. 5436

Author(s):

Barbara Barbieri ◽

Ilaria Buonomo ◽

Maria Luisa Farnese ◽

Paula Benevene

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Public Administration ◽

Organizational Innovation ◽

Measurement Model ◽

Organizational Capital ◽

Convenience Sample ◽

Confirmatory Factor ◽

And Performance ◽

Practical Implications

The aim of this study was to deepen our knowledge about the role played by organizational capital (OC) among public administration (PA) agencies. A questionnaire was administered to a gender-balanced convenience sample of 270 workers of Italian PAs. First, confirmatory factor analysis was performed in order to examine the measurement model. Second, a SEM model was performed, confirming that OC was both directly and indirectly positively related to performance, through the mediation of innovation. OC was also positively related to innovation through the mediation of clarity about change. Overall, the results supported the hypothesized model, providing initial evidence on the pivotal role OC plays, and especially for PA agencies, on organizational innovation and performance. The limits and practical implications of these results are discussed.

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Exploratory and confirmatory factor analysis in clinical and health psychology

10.1093/med:psych/9780198527565.003.0019 ◽

2015 ◽

Author(s):

Mark Shevlin

Keyword(s):

Health Psychology ◽

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Exploratory Factor Analysis ◽

Clinical Psychologists ◽

Analysis Model ◽

Factor Analysis Model ◽

Factors Analysis ◽

Confirmatory Factor ◽

Confirmatory Factors

This chapter focuses on exploratory and confirmatory factors analysis (CFA) in clinical and health psychology. It discusses the factor analysis model, how health and clinical psychologists use factor analysis, exploratory factor analysis (EFA), and CFA.

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Owner Ethnicity: The Determinant of Relationship between Environment Uncertainty and Performance

Journal of Accounting and Business Education ◽

10.26675/jabe.v1i2.8487 ◽

2017 ◽

Vol 1 (2) ◽

pp. 179

Author(s):

Lussia Mariesti Andriany

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Dummy Variable ◽

Chinese Business ◽

Confirmatory Factor ◽

Competition Level ◽

The Difference ◽

And Performance ◽

Two Stages ◽

Simple Regression

The aim of this research is to reveal effect of environment uncertainty which seen through competition level and costumer to performance. This research reveals the difference of relationship in environment uncertainty to performance between Chinese and non-Chinese business. Data are collected through direct survey to traditional retail owners by questionnaire and interview. Then, those data analyze in two stages, confirmatory factor analysis and simple regression with dummy variable. This research finds that there is no effect from environment uncertainty to performance. Also, there is no difference between Chinese and non-Chinese business in environment uncertainty to performance relationship. Keywords: ethnic of business ownership, environment uncertainty, performance

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A Review of the Tripartite Model Linking Associations between TQM, Organizational Learning, and Performance

International Business Research ◽

10.5539/ibr.v10n8p11 ◽

2017 ◽

Vol 10 (8) ◽

pp. 11

Author(s):

Akram Hasan Aljaffan

Keyword(s):

Factor Analysis ◽

Organizational Learning ◽

Confirmatory Factor Analysis ◽

Literature Review ◽

Tripartite Model ◽

Reporting Practices ◽

Confirmatory Factor ◽

And Performance ◽

Learning And Performance ◽

Research Studies

This review aims to examine selected research articles that empirically investigated the relationship between Total Quality Management (TQM), Organizational Learning and Performance. The objectives of the current review are threefold. First, it aims to provide a comparative analysis regarding, findings, methodology, and dimensions, second, it explores the dimensions of the relevant constructs based on literature review, and Third, it compares the inferred concepts with those developed in the selected research studies. The current paper found a lack of conceptual clarity of the selected research studies’ dimensions when compared with the conceptually developed ones based on expanded literature review, methodological issues and ill-defined practices during confirmatory factor analysis and unsatisfactory scales selection justification from a theoretical perspective. Recommendations for pertaining future research mainly include building a broader theoretical lens while developing the dimensions of TQM, organizational learning, and performance, enhanced confirmatory factor analysis reporting practices and embracing qualitative research methods that further investigate the tripartite model.

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Confirmatory Factor Analysis of the Wais and the WPPSI

Psychological Reports ◽

10.2466/pr0.1979.45.2.351 ◽

1979 ◽

Vol 45 (2) ◽

pp. 351-355 ◽

Cited By ~ 5

Author(s):

Nerella V. Ramanaiah ◽

Michael L. Adams

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Strong Support ◽

Age Group ◽

Factor Analyses ◽

Performance Factors ◽

Standardization Sample ◽

Multiple Group ◽

Confirmatory Factor ◽

And Performance

Wechsler's hypothesis that verbal and performance factors are the major dimensions underlying the WAIS and the WPPSI subtests was directly tested by using confirmatory factor analysis. Correlated multiple-group factor analyses were performed on the WAIS subtest intercorrelations based on Wechsler's (1955) standardization sample and Doppelt and Wallace's (1955) elderly sample and for the WPPSI subtest intercorrelations based on Wechsler's (1967) standardization sample, separately for each age group. Verbal and performance factors clearly emerged in all analyses, accounting for approximately 70% of total variance for the WAIS and 60% for the WPPSI. The results provide strong support for Wechsler's hypothesis and also for the use of separate verbal and performance scores.

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Vertical Co-operation in Creative Micro-Enterprises: A Case Study of Textile Crafts of Matiari District, Pakistan

Sustainability ◽

10.3390/su11030920 ◽

2019 ◽

Vol 11 (3) ◽

pp. 920 ◽

Cited By ~ 8

Author(s):

Mohsin Shafi ◽

Yongzhong Yang ◽

Zobi Khan ◽

Aixian Yu

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Product Development ◽

Sampling Method ◽

Economic Importance ◽

Mediating Role ◽

Confirmatory Factor ◽

And Performance ◽

Micro Enterprises

Despite their cultural and economic importance, creative micro-enterprises have received very little attention from academia research, especially with respect to vertical co-operation—customers and suppliers—and innovation. This study aims to fill the literature gap by studying how vertical co-operation improves the performance of micro-enterprises in textile crafts through innovation. A questionnaire was used to collect data from creative micro-enterprises in the textile craft sector operating in the Matiari District of Pakistan. To test the construct validity of the research, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted, and to examine the hypotheses, the bootstrap re-sampling method was used with the SPSS PROCESS macro developed by Hayes. The findings of this study indicate that vertical co-operation positively and significantly affects the innovation and performance of creative micro-enterprises in textile crafts. In addition, we find that innovation plays a significant mediating role between vertical co-operation and performance. Furthermore, contrary to some studies, we empirically provide evidence regarding innovation in craft in terms of product development (design, size, shape, color, etc.), improvement in quality, and replacement/modification of tools.

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