• Korean Journal of Childcare and Education
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• v.18 no.4
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• pp.1-16
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• 2022

Objective: The purpose of this study is to test the psychometric properties of the Maternal Emotion Coaching Questionnaire (MECQ, Lim et al., 2018) in order to measure emotion coaching in mothers of preschoolers. Methods: A total of 316 preschoolers and their mothers participated in this study. Maternal emotion coaching was assessed by self-report and child emotion regulation ability was evaluated by the teacher. Data were analyzed with chi-square tests, reliability analysis, confirmatory factor analysis, latent profile analysis, and F-test. Results: Each item of the MECQ showed proper discriminative power. The MECQ and each subscale demonstrated adequate internal consistency and split-half reliability. Evidence of construct validity was provided by confirmatory factor analysis. The five-factor model including maternal attention, awareness, acceptance, empathy, and guidance showed a good fit. Results of the latent profile analysis revealed three profiles of emotion coaching: excellent, good, and poor. Preschoolers with mothers in the poor coaching profile showed significantly lower emotion regulation ability compared to those in the excellent or good coaching profiles, which suggested discriminative validity of the MECQ. Conclusion/Implications: The MECQ presents a reliable and valid tool to assess emotion coaching in mothers of preschool children and can thus be effectively used for mothers of preschoolers.

• Human Ecology Research
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• v.60 no.2
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• pp.257-271
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• 2022

The aim of this study was to explore the types of helicopter parenting among college students, and to examine how the identified types of helicopter parenting are associated with intimacy goals in dating. In order to investigate these purposes, 202 college students were recruited and analyzed. With the use of Mplus 7.4, a latent profile analysis identified latent profiles of helicopter parenting. Additionally, multivariate regression analysis was conducted in order to analyze the links between the types of helicopter parenting and intimacy goals in dating by using SPSS 26.0. The main findings of the study were as follows. Firstly, three helicopter parenting classes were identified: 1) strong decision-making, 2) strong helicopter parenting, 3) weak helicopter parenting. Secondly, college students in the strong helicopter parenting class reported significantly higher levels of intimacy goals in dating than those in the strong decision-making class. On the other hand, no significant connection was identified between the type of 'weak helicopter parenting' and the levels of intimacy goals in dating, referencing the type of 'strong helicopter parenting.' These results indicate that helicopter parenting has a certain number of types in nature, and the control-based parental behavior could have an impact on college students' intimacy goals in dating.

• Korean Journal of Culture and Social Issue
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• v.25 no.4
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• pp.325-351
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• 2019

The present study examined patterns of co-occurrence between DSM-5 posttraumatic stress disorder(PTSD) symptoms and posttraumatic growth(PTG) among Korean populations(n= 860). Latent profile analysis was used to identify subclasses and suggested that the 3-class model fit best: (1) Low PTSD/Mild PTG group (2) Low PTSD/High PTG group; (3) High PTSD/High PTG group. Class membership was predicted by demographic variables, social isolation, and frequency of traumatic experiences. Classes also differed with respect to self-destructive behaviors(binge eating, non-suicidal self-injury, and problem drinking). These findings contribute to future research about the coexisting patterns of PTSD and PTG, and to identify high-risk individuals who suffer from trauma-related problems in clinical practice.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.789-796
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• 2005

Because existing information retrieval systems, in particular library retrieval systems, use 'exact keyword matching' with user's query, they present user with massive results including irrelevant information. So, a user spends extra effort and time to get the relevant information from the results. Thus, this paper will propose SULRM a Retrieval Model using Subject Classification Table, User profile, and LSI(Latent Semantic Indexing), to provide more relevant results. SULRM uses document filtering technique for classified data and document ranking technique for non-classified data in the results of keyword-based retrieval. Filtering technique uses Subject Classification Table, and ranking technique uses user profile and LSI. And, we have performed experiments on the performance of filtering technique, user profile updating method, and document ranking technique using the results of information retrieval system of our university' digital library system. In case that many documents are retrieved proposed techniques are able to provide user with filtered data and ranked data according to user's subject and preference.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.283-289
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• 2019

The purpose of this study was to classify the elementary school students to latent groups according to the type of mobile phone usage and to verify the relationship with mobile phone dependency. The latent profile analysis was conducted using the first grade panel data of the elementary school in the Korea Children 's Youth Panel in 2016. The results found 3 latent classes of mobile phone usage: family and friend concentration (Type1), family concentration low level (Type2) and essential (Type3). The results of multiple regression analysis for verifying the relationship between mobile phone use type and mobile phone dependency showed a significant effect. The Type 2 showed more dependency than the Type 1, and the Type 1 showed more dependency than the Type 3. These findings provided basis for the guideline of mobile phones use and for proper intervention to prevent mobile phone dependency for elementary school students.

• Korean Journal of Child Studies
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• v.37 no.2
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• pp.169-187
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• 2016

Objective: This study aimed to identify profiles based on early childhood and elementary school teachers' goal orientations and to examine differences in teacher efficacy, psychological wellbeing, and job satisfaction among these profile groups. Methods: Data were collected through a teacher questionnaire. The teacher goal-orientation scale consisted of six sub-dimensions: growth, leisure, wealth, relationship, promotion, and social contribution. Data were analyzed using latent profile analyses. Results: Latent profile analyses revealed three distinct profile groups: one group characterized by higher scores across all six dimensions (balanced-goal-orientation group); another characterized by lower scores on all six dimensions, with a relatively higher score on the relationship dimension (relationship-goal-oriented group); another one characterized by lower scores on all dimensions except the leisure goal (leisure-goal-oriented group). MANOVA showed that the balanced-goalorientation group was significantly higher in total years of teaching, educational attainment, and age, compared to the leisure-goal-oriented group. In regression analyses, when controlling for educational attainment, teacher types (kindergarten vs. elementary school) did not significantly predict each of the dummy-coded profile groups (0 = no, 1 = yes). When taking into account teachers' age and educational attainment, belonging to the balanced-goal-orientation group was consistently associated with higher levels of teacher efficacy, job satisfaction, and psychological well-being, whereas the opposite pattern was observed in leisure-goal-oriented group. Conclusion: These findings imply that it is crucial to help pre- and in-service kindergarten and elementary school teachers foster a balance between different types of goals, which would ultimately strengthen and stabilize the supply of a teaching force and the provision of a better education.

• Journal of Biosystems Engineering
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• v.17 no.4
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• pp.336-343
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• 1992

In this study, to obtain basic information for the design of a latent heat storage system, (1) the cylindrical type and the rectangular type of latent heat storage elements were designed, (2) the finite element method was adopted for the prediction of temperature profile of phase change material in heating and cooling process, and (3) experiments were performed to verify the numerical solutions, and then (4) the optimum size of latent heat storage units was predicted by the computer simulation. The results could be summarized as follows : (1) In cooling process, the predicted temperatures of latent heat storage units by computer simulation were in good agreement with measured. (2) The effective diameter of cylindrical element was observed to be 28 mm and the effective thickness of rectangular element was observed to be 21 mm.

• Korean Journal of Culture and Social Issue
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• v.28 no.3
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• pp.483-512
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• 2022

This study examined the patterns of coping strategies among Koreans during the early stage of the COVID-19 pandemic, explored the influence of demographic information (gender, age, economic level, household type), along with the unusual experiences due to COVID-19 (fear, stress of COVID, constraints of routine, income risk) on the classification of subclasses, and analyzed the latent profile differences in psychological wellbeing (life satisfaction, depression, and anxiety). An online survey was conducted among Korean Adults(n=600) between April 13, 2020 and 21, when WHO declared COVID-19 a global pandemic and Daegu as well as Gyeongsangbuk-do was nominated as a special disaster zone. First, Latent Profile Analysis (LPA) was used to identify subclasses of coping strategies and results suggested that the 4-class model had the best fit. Second, Class memberships were predicted by gender, age, economic level, as well as fear, stress, constraints of routine, and income risk, among the unusual experiences due to COVID-19. Finally, there are differences in psychological wellbeing among latent profiles. 'High level of adaptive coping group 3' showed the highest level of life satisfaction, 'Adaptive-maladaptive coping group 4' showed the highest level of depression, anxiety. Implications and suggestions are discussed based on the study results.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.482-491
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• 2022

The purpose of this study was to classify latent profiles based on satisfaction of student by the campus-life&educational-experiences and to identify factors affecting satisfaction according to each type. For this study, data from the survey of the A univ(1,952 data) were used. To analyze this, a latent profiles analysis was applied to identify subgroups, in which the students by the campus-life&educational-experiences satisfaction, and a multinomial logistic regression model was applied to verify factors affecting group classification. As a result of the analysis, first four groups were classified in the order of 'average·class·highest·relationship satisfaction type'. Second the factors affecting the classification into the remaining three types with 'the average satisfaction type' as a reference group were found to be significant influencing factors(gender, grade, admission process, GPA grade). Based on these results, this study suggested implications for planning and promoting student-tailored education and student support policies at the university level.

• Korean Journal of Childcare and Education
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• v.19 no.2
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• pp.43-59
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• 2023

Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.