66 research outputs found
Generating correlation matrices with model error for simulation studies in factor analysis: A combination of the Tucker-Koopman-Linn model and Wijsman’s algorithm
No full text
Latent Structure of the Social Interaction Self-Statement Test: An Application of Hierarchical Confirmatory Factor Analysis
No full text Since the Social Interaction Self-statement Test was presented, a clear factor structure of the measure has not been defined. This situation is largely due to a lack of agreement among researchers with respect to the method of factoring, rotation criteria, and interpretation of factor loadings. The aim of the present study was to evaluate, using confirmatory factor analyses, the various factor models of the test. Results clearly supported a novel second-order factor model, which was developed by combining the current two- and five-factor models. </jats:p
A Comparison of Mixture Modeling Approaches in Latent Class Models With External Variables Under Small Samples
No full text The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class model with three predictor variables and a latent class model with one distal outcome variable. For the simulation, data were generated under the conditions of different sample sizes (100, 200, 300, 500, 1,000), entropy (0.6, 0.7, 0.8, 0.9), and the variance of a distal outcome (homoscedasticity, heteroscedasticity). For evaluation criteria, parameter estimates bias, standard error bias, mean squared error, and coverage were used. Results demonstrate that the three-step approaches produced more stable and better estimations than the other approaches even with a small sample size of 100. This research differs from previous studies in the sense that various models were used to compare the approaches and smaller sample size conditions were used. Furthermore, the results supporting the superiority of the three-step approaches even in poorly manipulated conditions indicate the advantage of these approaches. </jats:p
Profiles of Working Moms’ Daily Time Use: Exploring Their Impact on Leisure
No full textThis paper identified latent profiles depending on the patterns of daily time usage amongst working moms in Korea and tested their relations to family- and work-related characteristics. The consequent differences in the levels of leisure attributes were further investigated. Taking a holistic approach, latent profile analysis, one of the person-centered methods, was conducted using data drawn from the seventh year of the Korean Longitudinal Survey of Women and Families (KLoWF), with a sample of 1074 women. The results of this study indicate that three different subtypes of individuals emerged: a low-level care group (82.1%), a medium-level care group (13.8%), and a high-level care group (4.1%). The factors determining the classification for the profiles were the existence of preschool children, household income, gender role attitudes, and domestic help. Work-related factors proved to have no significant effect on time-use patterns. Profile membership was related to leisure attributes as perceived by working moms: the low-level care group reported the highest level of leisure time adequacy and leisure satisfaction, while the high-level care group presented the lowest level of sufficiency and satisfaction in their leisure time. Based on these findings, the article discusses the practical implications for enhancing the quality of life of working mothers
Comparisons of Multilevel Modeling and Structural Equation Modeling Approaches to Actor–Partner Interdependence Model
No full text There are basically two modeling approaches applicable to analyzing an actor–partner interdependence model: the multilevel modeling (hierarchical linear model) and the structural equation modeling. This article explains how to use these two models in analyzing an actor–partner interdependence model and how these two approaches work differently. As an empirical example, marital conflict data were used to analyze an actor–partner interdependence model. The multilevel modeling and the structural equation modeling produced virtually identical estimates for a basic model. However, the structural equation modeling approach allowed more realistic assumptions on measurement errors and factor loadings, rendering better model fit indices. </jats:p
A Study of The Historical Significance of CIS Goryein’s Succession of Traditional Dance Culture
No full text
The Impact of Covid-19 and its policy response on Korea's export
No full textThesis(Master) -- KDI School: Master of Public Policy, 2021The lockdown policies, which are composed of various measures like workplace closing, cancel public events, stay-at-home requirements, are adopted to block the transmission of COVID-19. It may succeed in blocking the infections, but it has negative impacts on the global economy in terms of production and consumption. In this research, the author tries to focus on the impacts of COVID-19 and its policy responses on Korea’s exports by using COVID-19 case and death data, policy response data from OxCGRT, immobility data from Google. The importing countries’ COVID-19 and the policy responses have negative impacts on Korea’s exports even though some of the indicators are not statistically significant. Also the country groups such as OECD, EU, ASEAN, and OPEC have shown the mitigation of negative impacts of COVID-19 and its policy responses and immobility. Korea’s COVID-19 situation, its policy responses and immobility in the workplace have positive impacts on Korea''s exports. The author also tries to check the baseline’s results by doing the estimation with product division, adding time-lag variables, and dividing the region by capital and non-capital area and confirms that the direction of coefficients except medical industries. This study contributes to suggest rough ideas about the impact of lockdown measures on Korea’s exports.I. Introduction
II. Literature Review
III. Model and Data
IV. Estimation Results
V. Robustness Check
VI. Conclusion
VII. References
VIII. AppendixmasterpublishedSehee KI
- …
