Supporting data for “Parents’ Unsociable Work Schedules and Children’s Well-Being: A Mixed Methods Study of Dual-Earner Households in Mainland China”

This dataset contains interview data for a phenomenological study as part of the doctoral thesis “Parents’ Unsociable Work Schedules and Children’s Well-Being: A Mixed Methods Study of Dual-Earner Households in Mainland China.” The study aims to explore the lived experiences of children living in Chinese dual-earner households where parents are exposed to unsociable work schedules, defined as work scheduling practices that are not conducive to direct ad stable parental involvement, such as long work hours, night shifts, weekend work, inflexible scheduling, and on-call duties. Fifteen children from dual-earner households in mainland China were recruited to participate in semi-structured interviews. The interviews were conducted remotely via WeChat video calls in December 2023, with all participants joining from their homes. Each interview lasted between 35 and 60 minutes and was conducted in Mandarin Chinese. The sessions were audio-recorded and subsequently transcribed verbatim. To ensure the privacy and confidentiality of participants, all data were anonymized, removing any identifying information about the individuals included in the dataset. The data files comprise fifteen verbatim transcripts of the interview data.