Confirmatory Factor Analysis

By Kelloway E. Kevin. The SAGE Encyclopedia of Research Design, 2022

2,197 citations recorded by the source corpus.

Increasing unemployment rate and creation of new jobs are most important issues around the world recently. Then many developed countries, including Republic of Korea, establish and enforce a variety of start-up activation policies to increase employment rate and boom up the national economy. Establishing linkage of entrepreneurship motivation, entrepreneurship, entrepreneurial intention and firm performance, focusing on potential entrepreneurs and entrepreneur, it could provide personalized and targeted entrepreneurial policy programs to increase entrepreneurship, because entrepreneurship is the most important factor to activate startups. On this study, it established factors of entrepreneurial motivation on potential entrepreneurs and entrepreneurs, and analyzed the linkage of factors of entrepreneurial motivation, entrepreneurship, entrepreneurial intention(potential entrepreneurs) and firm performance(entrepreneurs). For analysis, this study conducted descriptive statistics, reliability analysis, factor analysis to verify validity, correlation analysis, and regression to analyze influence between factors. Potential entrepreneurs group has 202 samples, and findings show self-efficacy, social network, economic status and government policy influence on entrepreneurship positively. And self-efficacy, startup education, economic status and government policy have a positive effect on entrepreneurial intention, too. Entrepreneurs group has 212 samples, and findings show self-efficacy, social network and economic status influence on entrepreneurship. And each linkage has a positive effect, that self-efficacy - financial and non-financial performance, startup education financial and technological performance, social network - financial performance, economic status - financial and non-financial performance, and government policy - financial and technological performance.

Subfields: Information Systems

View Paper: https://www.semanticscholar.org/paper/f82b2020a8906bc61279625af41203e1b8e8f3b3

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Citations in the corpus

An extensive comparison of CB-SEM and PLS-SEM for reliability and validity (2020, background): “Many studies believe the reliability and validity are essential features in the SEM context analysis in order to assure the path coefficients obtained can be generally trusted for managerial decision or for dynamics progress (Bagozzi & Philips, 1991; Brown, 2006; Bollen, 1989; Schumacker & Lomax, 20”
Interference control, working memory capacity, and cognitive abilities: A latent variable analysis (2010, result): “…highly related to gF butwas related less sowith gC. Thesefinding are consistent with recentworkby Salthouse, Pink, andTucker-Drob (2008; see also Tucker-Drob & Salthouse, 2009) suggesting that WMC, gF, Mem, and INT likely reflect the same dimension of cognitive abilities in that all require…”
Learning organization and work engagement: the mediating role of employee resilience (2020, methodology): “fication indices and standard residual co-variances resulted in re-specification of the full measurement model (Hoyle, 2000) and lead to the deletion of four items each from learning organization and employee resilience scales.”
Antecedents of Consumers’ Purchase Intention towards Organic Food: Integration of Theory of Planned Behavior and Protection Motivation Theory (2021, positive): “All the constructs in this study have met the threshold suggested by Hair, Black, Babin, and Anderson [55] in terms of normality, thus the data are considered normal.”
Individuals’ intentions to engage in last chance tourism: applying the value-belief-norm model (2020, background): “…many previous studies in the literature have depicted LCT as unsustainable due to its GHG intensity and pressure on already vulnerable resources (Dawson et al., 2011; Lemieux & Eagles, 2012), the results of the study suggest that LCT travelers share similar values and possess intentions to…”
Undesirable biases in NLP: Averting a crisis of measurement (2022, methodology): “Another approach, is to use statistical techniques like confirmatory factor analysis (Harrington, 2009) to evaluate the extent to which a test’s items follow the anticipated subcomponent structure.”
Consumer engagement in online brand communities: the moderating role of personal values (2019, result): “80 (Baumgartner and Homburg, 1996; Doll et al., 1994), thus the results still indicate good measurement model validity.”
Exploring the role of social media in collaborative learning the new domain of learning (2020, background): “Mobile devices and social media provide opportunities to the students for accessing resources, materials, course contents, interaction with mentor and colleagues (Cavus & Ibrahim, 2008, 2009; Richardson & Lenarcic, 2008).”
Age differences in social comparison tendency and personal relative deprivation (2015, neutral): “…subscales as distinct but correlated factors; χ² = 125.64, df = 42, p < .001; CFI = .969; TLI = .960; RMSEA = .064; SRMR = .039).2 For these analyses, correlations between the error variances for the two reversed worded items were specified (cf. Schneider & Schupp, 2014; see Brown & Moore, 2012).”