Yin Liu was born and grew up in Chengdu, China. Yin received her PhD degree in Human Development and Family Studies at Penn State University. She is currently an assistant professor in the Human Development and Family Studies at Utah State University. Yin teaches undergraduate and graduate classes in gerontology and research methods, and is the coordinator of the gerontology certificate program at USU. Yin is a developmental psychologist by training with an interdisciplinary research background focused on individuals’ health and well-being across adulthood and old age. To achieve this goal, her expertise includes research methodology and statistics, daily and chronic stress, salivary biomarkers of stress and health, and interventions to reduce stressor exposures and promote healthy aging. Yin’s dissertation received the research award in the Psychology of Aging by Div. 20 of the American Psychological Association (APA). In her spare time Yin enjoys experiencing the outdoors with her family.
- PhD in Human Development and Family Studies, The Pennsylvania State University, 2016
- MS in Human Development and Family Studies, Texas Tech University, 2011
- MS in Advanced Professional Studies, University of Strathclyde, Glasgow, UK, 2003
- BA in English, Southwest China Normal University, Chongqing, China, 2001
My overall research goal can be broken into two general thematic areas. My first research theme centers on daily stresses, health and well-being in special populations who are generally considered under chronic stress, such as family caregivers of individuals with dementia (IWDs) and women with a history of substantiated childhood sexual abuse. Two major data sets I utilize are from the Daily Stress and Health (DaSH) project for family caregivers of individuals with dementia, and the Midlife in the United State (MIDUS) study.
I am also interested in applying statistical tools to address research questions that have not been explored with more traditional approaches. Of particular interest is the application of innovative models for daily outcomes of health and well-being. This can include daily affective fluctuation and its association with stress; the stabilizing effect of interventions on daily affect; daily intrinsic emotion and emotional diversity as traits and their developmental trajectories over time; fluctuation of daily biomarkers; and biomarker synchrony.