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

2019 ◽  
Vol 11 (3) ◽  
pp. 920 ◽  
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.

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

Methodology ◽  
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.

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

2008 ◽  
Vol 30 (5) ◽  
pp. 611-641 ◽  
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.

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

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.

scholarly journals DEVELOPING ATTITUDES ON GLOBAL AWARENESS INSTRUMENT OF SENIOR HIGH SCHOOL’S STUDENTS

2018 ◽  
Vol 4 (2) ◽  
pp. 38-59
Author(s):  
AMAN ABADI NUGRAHA
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Product Development ◽  
Research And Development ◽  
Field Test ◽  
Second Phase ◽  
Global Awareness ◽  
Confirmatory Factor ◽  
Preliminary Phase ◽  
Composite Reliability

This study developed the attitudes on global awareness instrument of senior high school’s students. It used Research and Development (R&D) design which consisted of preliminary phase, product development, and product implementation (field test). The data were collected from 20 panels, the first phase of field test which consist of 250 students, and the second phase of field test which consist of 265 students . The data were analyzed by using factor analysis with Confirmatory Factor Analysis (CFA) method. The result of this study indicated that the standardized attitudes on global awareness instrument consist of 55 items with cognition, conation, and affection dimension with Composite Reliability (CR) was 0,933 and Variance Extracted (VE) was 0,824.

scholarly journals DEVELOPING ATTITUDES ON GLOBAL AWARENESS INSTRUMENT OF SENIOR HIGH SCHOOL’S STUDENTS

2018 ◽  
Vol 4 (2) ◽  
pp. 38-59
Author(s):  
AMAN ABADI NUGRAHA
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Product Development ◽  
Research And Development ◽  
Field Test ◽  
Second Phase ◽  
Global Awareness ◽  
Confirmatory Factor ◽  
Preliminary Phase ◽  
Composite Reliability

This study developed the attitudes on global awareness instrument of senior high school’s students. It used Research and Development (R&D) design which consisted of preliminary phase, product development, and product implementation (field test). The data were collected from 20 panels, the first phase of field test which consist of 250 students, and the second phase of field test which consist of 265 students . The data were analyzed by using factor analysis with Confirmatory Factor Analysis (CFA) method. The result of this study indicated that the standardized attitudes on global awareness instrument consist of 55 items with cognition, conation, and affection dimension with Composite Reliability (CR) was 0,933 and Variance Extracted (VE) was 0,824.

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

2018 ◽  
Vol 1 (2) ◽  
pp. 90-98
Author(s):  
M Taufiq Noor Rokhman
Keyword(s):  
Factor Analysis ◽  
Local Government ◽  
Confirmatory Factor Analysis ◽  
Relevant Information ◽  
Regional Government ◽  
Confirmatory Factor ◽  
And Performance ◽  
Confirmatory Factors

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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