Adult Development & Aging Lab
Director: Cindy S. Bergeman
Why do some people age more successfully than others? How do some individuals manage to maintain high self-esteem, good physical health, and a positive outlook on life in spite of facing the same adversities that lead others to give up, get sick, or lose hope? What are the behavioral, psychological, environmental, and social factors that help people to cope with life’s stresses? These are some of the questions we are hoping to answer. Our goal in the Adult Development & Aging Lab is to advance understanding of the multiple pathways that lead to successful development across the lifespan.
Affect, Suicide, Self-Injury, and Social Triggers (ASSIST) Lab
Director: Brooke Ammerman
The ASSIST lab is interested in understanding and improving risk prediction for self-injurious thoughts and behaviors (SITB; i.e., nonsuicidal self-injury, suicidal ideation, suicide attempts), with a particular focus on how these experiences present in daily life and how interpersonal contexts can serve as both risk and protective factors.
Attention, Memory, and Perception Lab
Director: Bradley Gibson
The ability to act in a goal-directed fashion in spite of many competing forces is one of the hallmarks of adaptive human functioning. The AMP Lab examines how basic cognitive mechanisms enable and optimize this adaptive behavior by allowing us to perceive, select, maintain, and retrieve goal-relevant information. We use a variety of different methods, including behavioral, physiological, mathematical modeling, and neuroimaging approaches, to address these questions. We are also interested in examining these questions by considering both individual and group differences, especially between typical and atypical populations.
BRAVE (Building Resilience After Violence Exposure) Research Lab
Director: Laura Miller-Graff
Working within an ecological framework, our research seeks to understand how various systems (i.e., individual, family, and community) interact to promote or inhibit healthful development following violence exposure. Based on this research, we aim to develop, adapt and/or evaluate brief, empirically validated treatments for individuals exposed to chronic forms of violence and trauma. Current projects include randomized controlled trials of brief programs for pregnant women exposed to intimate partner violence and a family-based intervention for families in Palestine. Our research most commonly employs a community-based participatory approach, with local partners and stakeholders engaged in multiple phases of the research.
Breakthrough Research on Autism & Inclusive Neurodevelopment (BRAIN) Lab
Director: Caitlin Clements
At the BRAIN Lab at Notre Dame, we strive to understand how autism develops, and how to best support autistic individuals and their families. We are adding content to our webpage as the BRAIN Lab gets off the ground, so check back frequently!
The BRAIN Lab is part of the Notre Dame Psychology Department and located at:
The William J. Shaw Center for Children and Families at Notre Dame
1602 N Ironwood Dr
South Bend, IN 46635
Center for Advanced Measurement of Personality and Psychopathology (CAMPP Lab)
Director: David Watson, Lee Anna Clark
Our goal is to stay abreast of new developments concerning the advancement of the measurement of personality and psychopathology and their interrelations, as well as to contribute to that advancement. Thus, our research focuses on how best to do that. However, given that we are retiring, we are effectively shutting our lab down at the end of June.
Cognition & Emotion Lab
Director: Gerald Haeffel
Given the same stressful life event, why is it that some people develop depression whereas others do not? According to the cognitive theories of depression, it depends on how you think about the stress. Some people have a “cognitive vulnerability” that interacts with stress to increase the likelihood of depression. Our research is focused on how best to conceptualize, measure, and change cognitive vulnerability.
Cognition, Learning, and Development (CLAD) Lab
Director: Nicole McNeil
We study cognitive development, with a particular emphasis on mathematical cognition and skilled reading. We use the methods and tools from cognitive science to tackle fundamental questions about the learning process, while also addressing practical challenges that educators face. We collaborate with researchers, computer scientists, teachers, policymakers, and other leaders in education to design learning environments that support all children in achieving their full potential. In this way, we embody the mission of the Institute for Educational Initiatives to improve education for all children, particularly those who do not have access to the same resources, opportunities, and support as others.
Development & Psychopathology Laboratory
Director: Kristin Valentino
Our research addresses how adversity affects child development with a focus on the caregiving behaviors that may promote risk and/or resilience. We study positive and negative caregiving behaviors, and evaluate how interventions may be designed to improve caregiving to improve developmental outcomes for children. We are especially interested in families who are facing adversities such as child maltreatment, poverty, and discrimination. Guiding our research is a developmental psychopathology perspective which emphasizes the interface between normal and atypical development and employs a multiple-levels-of analysis approach towards the study of child development and child psychopathology.
Lab for Big Data Methodology
Director: Zhiyong (Johnny) Zhang
Our lab aims to develop better statistical methods and software in the areas of education, management, health and psychology. Our most recent research involves the development of new methods for social network, text mining, and big data analysis. Particularly, we have contributed to the areas of Bayesian methods, Network analysis, Big data analysis, Text mining, Structural equation modeling, Longitudinal data analysis, Mediation analysis, and Statistical computing and programming.
Lab for Developmental and Health Research Methodology
Director: Lijuan Wang
Our lab aims to develop and apply statistical methods in the areas of developmental, family, and health disparities research.
We are interested in developing and evaluating quantitative methods for longitudinal research, mediation/moderation analysis, cumulative data analysis, and study design issues such as sample size planning.
We are also interested in applying quantitative methods to address novel and important research questions in developmental, family, and health disparities research.
Laboratory for Psycho-oncology Research
Director: Thomas V. Merluzzi
Prof. Merluzzi's research focuses on coping and social support processes in people with cancer and cancer survivors from the perspective of social learning theory and, in particular, self-regulation and self-efficacy theories. For more detailed information on his research please visit the Laboratory for Psycho-oncology Research website
CURRENT AREAS OF RESEARCH
Assessment of Self-efficacy for Coping with Cancer
Survivorship, Coping with Stressors, Social Support, COVID-19
"Letting Go"- Religious/Spiritual Perspectives on Coping and Relinquishing Control
Psychosocial Issues in Racial Health Disparities
For details on these research areas please visit the Laboratory for Psycho-oncology Research website
Director: Kathleen M. Eberhard
The research of the Language Lab involves three areas:
- Bilingualism, particularly how one's native language affects comprehension of the second language.
- Factors related to individual differences in language learning.
- Coordination of understanding in face-to-face and remote dialogue.
Latino Adolescents, Siblings, and Families Lab
Director: Jenny Padilla
Broadly, the LASF Lab is interested in families as a context of development, academic achievement, and psychological adjustment, primarily in adolescence and young adulthood. A major goal of our research is to advance understanding of the diversity of youth and family experiences within the Latino population as well as the cultural practices and values within families that impact family roles, responsibilities, and relationships as well as youth well-being. We are particularly interested in sibling-related family dynamics.
Siblings exert a pronounced and unique influence on youth across adolescence. Siblings spend substantial amounts of time together across adolescence, often more than time with parents, peers, or alone affording them countless opportunities to learn from and be influenced by one another. Siblings serve as sources of support, validation, and skill development that can improve self-regulation and emotional understanding.
Learning Analytics and Measurement in Behavioral Sciences (LAMBS)
Director: Ying (Alison) Cheng
Our lab is interested in measurement issues in psychological assessment and educational testing. We specialize in item response theory and its applications to large-scale testing programs. Specific topics of interest include detection of aberrant responses in low- and high-stakes assessments, computerized adaptive testing, cognitive diagnostic modeling, test/item bias, classification accuracy and consistency and so on.
In addition to developing new methodologies, we are very interested in applying advanced statistical methods to substantive areas, such as education research and health outcome research. For example, we develop diagnostic testing platforms and use machine learning methods to provide personalized feedback and targeted learning materials to students in real time.
Director: G. A. Radvansky
The vast majority of the projects being done in the Memory Lab are focused on various aspects of event cognition and how they impact human memory. Specifically, we are interested in how the structure of events, both real and vicarious, influence the ease with which information is comprehended, learned, and remembered.
Moral & Adolescent Psychology Lab
Director: Daniel Lapsley
The MAP Lab is interested in how best to understand the moral dimensions of personality. What does it mean to be a moral person? Or a person of "good character?" This implicates notions such as selfhood and identity. We have proposed a social cognitive theory of moral personality and moral self-identity, and are trying to figure out ways to assess these constructs.
With respect to adolescent development, the MAP Lab has studied such topics as adolescent invulnerability, decision-making and risk behavior. We are interested in self, ego and identity development, and with how best to understand narcissism as a normal feature of adolescent personality development.
Psychometrics and Dynamic Analysis (PDA) Lab
Director: Guangjian Zhang
Our primary research interest is to develop, evaluate, and disseminate new research methods in the social and behavioral sciences. We are particularly interested in improving measurement tools like questionnaires under different conditions.
Psychopathology and Interpersonal Relationships Lab
Director: David A. Smith
In the Psychopathology and Interpersonal Relationships Lab (PIRL) we study close interpersonal relationship processes, such as communication, problem-solving, and criticism, in relation to emotional difficulties, such as depression and chronic pain. Behavioral, cognitive, emotional, and physiological mechanisms have all been targets of investigation. PIRL is associated with the Couples Therapy and Research Clinic, which is a training and couples therapy affiliate of the Notre Dame Psychological Services Center.
Director: Nathan S. Rose
Professor Rose's lab conducts research on the cognitive neuroscience of memory and aging. We study the neurocognitive processes that support working memory, long-term memory, and prospective memory in healthy young adults, healthy older adults, and in patients with Alzheimer’s disease, Parkinson’s disease, or amnesia. Our research uses neuroimaging (fMRI, EEG/ERP, fNIRS) and neurostimulation (TMS, tDCS) technologies and behavioral assessment to test and inform theories of memory and aging. In addition to studying basic memory processes, our research also assesses how cognitive theories can be applied to understanding memory performance in the real world and how cognitive training techniques can be utilized to improve memory performance.
Statistical Methods for Real Data Lab
Director: Ke-Hai Yuan
Many statistical methods were developed by assuming normally distributed data, and the likelihood ratio statistics follow chi-square distributions. Real data are seldom normally distributed and are often incomplete, especially those used in psychological research. Convenient use of statistical methods simply treats them as a publication tool rather than a tool for discovery of truth.
We develop methods by considering the distribution and nature of the real data, possibly with many variables, aiming for more accurate prediction and inference.
Suicide Prevention Initiative—Research, Intervention, & Training (SPIRIT)
Director: Theodore Beauchaine
Effective prevention of suicide requires broad understanding of biological vulnerabilities (e.g., genetic influences, neural functions) proximal environmental risk factors (e.g., maltreatment, peer influences), sociocultural influences (e.g., poverty, discrimination, political divisions), and how they interact. This approach allows us to target both individual-level and structural-level mechanisms of self-injury and suicide in specific communities. Over time, targeted precision care improves prevention efficacy.
Visual Cognition Laboratory
Director: James R. Brockmole
We are interested in how human observers create, store, and employ representations of objects and scenes. Specific interests include how visual short-term memory develops over time, how visual attention and memory subserve various cognitive behaviors such as search and wayfinding, and how context and experience influence performance on visually guided tasks. The lab uses a variety of tasks and dependent measures to investigate these aspects of cognition, but a major methodology involves the recording and analysis of eye movements, which reveal what and how visual information is processed in real time.