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  <title>ScholarWorks Collection:</title>
  <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/646" />
  <subtitle />
  <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/646</id>
  <updated>2026-07-04T11:19:13Z</updated>
  <dc:date>2026-07-04T11:19:13Z</dc:date>
  <entry>
    <title>Getting lonely and isolated? Transitions in social isolation profiles over time and factors associated with them among older adults</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210406" />
    <author>
      <name>Sung, Pildoo</name>
    </author>
    <author>
      <name>Chan, Angelique Wei Ming</name>
    </author>
    <author>
      <name>Visaria, Abhijit</name>
    </author>
    <author>
      <name>Lee, June May-Ling</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210406</id>
    <updated>2026-03-27T08:30:36Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: Getting lonely and isolated? Transitions in social isolation profiles over time and factors associated with them among older adults
Authors: Sung, Pildoo; Chan, Angelique Wei Ming; Visaria, Abhijit; Lee, June May-Ling
Abstract: The interplay between the structural, functional, and evaluative dimensions of social isolation and their temporal dynamics remains underexplored. We investigated (1) older adults’ distinct social isolation profiles, each characterized by varying degrees of social ties, perceived social support, and loneliness; (2) the stability and changes in these profiles over time; and (3) factors associated with key transition patterns. Using random-intercept latent transition analysis on two-wave longitudinal data from 1305 older Singaporeans aged 60–91 years, we identified five time-invariant profiles: (1) diverse ties and support, less lonely (24.4 % at baseline); (2) relative ties and support, less lonely (25.8 %); (3) friend ties and support, less lonely (9.3 %); (4) less supportive ties, less lonely (31.1 %); and (5) less supportive ties, lonely (9.4 %). Over time, more than half of the respondents (56.1 %) changed profiles. Specifically, less educated and financially insecure older adults were more likely to transition from profiles with supportive ties (profiles 1–3) to the profile with less supportive ties (profile 4), without a concomitant rise in loneliness. Instead, increases in depressive symptoms were associated with persistence in or transition into the lonely profile (profile 5). Overall, socioeconomic disadvantages and deteriorating mental health were identified as distinct risk factors for reduced perceived support and loneliness, respectively, highlighting the necessity for tailored interventions.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>더 차별받는 여성과 더 취약한 남성?: 직장 내 성차별의 성별 차이</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217894" />
    <author>
      <name>김녀희</name>
    </author>
    <author>
      <name>김상학</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217894</id>
    <updated>2026-07-03T04:30:28Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: 더 차별받는 여성과 더 취약한 남성?: 직장 내 성차별의 성별 차이
Authors: 김녀희; 김상학
Abstract: 본 논문에서는 상시근로자 100인 이상 기업에 근무하는 과장급 이상 남녀 관리자를 대상으로(남성 833명, 여성 2,345명) 자기 성별에 대한 성차별 인식이 직무만족도, 직업생활만족도, 조직몰입도에 미치는 영향을 살펴보았다. 특히 성차별 결과의 성별 차이를 살펴볼 수 있는 경험적 연구가 부족하다는 문제의식 아래 남성 성차별 인식의 정도와 결과에 주목하였다. 다수준 분석을 통해 조직 수준과 개인 수준 요인을 함께 고려한 분석 결과, 자기 성별에 대한 직장 내 성차별 인식 수준은 전통적 저지위 집단인 여성에게서 더 높게 나타났지만, 성차별로 인한 부정적 효과는 고지위 집단으로 여겨지는 남성에게서 더 강하게 드러났다. 이와 같은 성차별 결과의 성별 차이는 직무 관련 태도를 의미하는 모든 종속변수에서 일관적으로 관찰되었다. 남성 성차별 인식의 부정적 효과는 남녀 모두에게 적용되는 성 고정관념의 영향, 남성의 역차별 인식, 성(역)차별에 대한 민감도 증가라는 관점에서 이해될 수 있다.; This study examines how perceptions of gender discrimination in the workplace affect job satisfaction, work-related well-being, and organizational commitment among male and female managers (833 men and 2,345 women) working in firms with more than 100 regular employees. Motivated by the lack of empirical research on gender differences in the consequences of perceived discrimination, particular attention is given to men’s perceptions of discrimination against their own gender. The analysis shows that although perceptions of workplace gender discrimination are higher among women—the traditionally lower-status group—the negative effects of such perceptions are more pronounced among men, who are generally considered the higher-status group. These gendered differences in the consequences of perceived discrimination are consistently observed across all dependent variables related to work attitudes. The adverse effects of men’s perceptions of gender discrimination can be understood in relation to the influence of gender stereotypes applied to both sexes, the perception of reverse discrimination among men, and heightened sensitivity to (reverse) gender discrimination.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>LAPS: Automating Hypothesis-Driven Statistical Analysis of Public Survey Using Large Language Models</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212929" />
    <author>
      <name>Kim, Jaehoon</name>
    </author>
    <author>
      <name>Jeong, Dayoung</name>
    </author>
    <author>
      <name>Son, Beejin</name>
    </author>
    <author>
      <name>Kim, Hansung</name>
    </author>
    <author>
      <name>Kim, Bogoan</name>
    </author>
    <author>
      <name>Han, Kyungsik</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212929</id>
    <updated>2026-06-02T01:00:19Z</updated>
    <published>2026-04-01T00:00:00Z</published>
    <summary type="text">Title: LAPS: Automating Hypothesis-Driven Statistical Analysis of Public Survey Using Large Language Models
Authors: Kim, Jaehoon; Jeong, Dayoung; Son, Beejin; Kim, Hansung; Kim, Bogoan; Han, Kyungsik
Abstract: Public surveys are indispensable resources for understanding social dynamics, yet their analysis often imposes a high cognitive load due to structural complexity. In this paper, we present LAPS, a Large Language Model (LLM)-assisted automated framework that supports end-to-end, hypothesis-driven statistical analysis of survey data. LAPS consists of four modules (i.e., Operationalization, Planning, Execution, and Reporting) with human-in-the-loop mechanisms to balance automation with user agency. To evaluate the applicability of LAPS, we conducted a within-subjects user study with 12 social science researchers across three analytical environments: traditional statistical tools, a general-purpose LLM, and LAPS. Our findings demonstrate that LAPS ensures researcher agency and analytical stability, reduces the cognitive burden in the analysis workflow, and produces trustworthy, coherent outputs. Based on these findings, we reflect on how LAPS improves researchers&amp;apos; workflows and discuss design implications for scalable and trustworthy human-AI collaboration in survey-based research.</summary>
    <dc:date>2026-04-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Exploring Loneliness in Family Caregiver–Care Recipient Dyads: Implications for Caregiver Burden</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212777" />
    <author>
      <name>Sung, Pildoo</name>
    </author>
    <author>
      <name>Chan, Angelique</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212777</id>
    <updated>2026-05-20T06:30:26Z</updated>
    <published>2026-04-01T00:00:00Z</published>
    <summary type="text">Title: Exploring Loneliness in Family Caregiver–Care Recipient Dyads: Implications for Caregiver Burden
Authors: Sung, Pildoo; Chan, Angelique
Abstract: Aim: Family caregivers (CGs) and care recipients (CRs) with cognitive impairment are vulnerable to loneliness, yet the dynamics of loneliness within CG–CR dyads remain underexplored. This study used latent class analysis to identify distinct profiles of loneliness in CG–CR dyads and examine their association with caregiver burden. Methods: Data from 260 dyads of family CGs and CRs with cognitive impairment in Singapore were analyzed. A three-item UCLA Loneliness Scale assessed loneliness in CGs and CRs. Results: Three dyadic loneliness profiles were identified: “less lonely dyads” (74%), “less lonely CGs with severely lonely CRs” (16%), and “lonely CGs with moderately lonely CRs” (10%). Compared with CGs in the “less lonely dyads,” CGs in the “lonely CGs with moderately lonely CRs” dyads reported significantly higher caregiver burden. Conclusions: These findings highlight the need to address loneliness at the dyadic level and identify CGs&amp;apos; loneliness as a primary driver of caregiver burden.</summary>
    <dc:date>2026-04-01T00:00:00Z</dc:date>
  </entry>
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