How can the same underlying psychological/neurobiological system result in both stable between-individual differences and high levels of within-individual variability in personality over time and situations? We argue that both types of variability result from a psychological system based on structured, chronic motivations, where behavior at a specific point in time is a joint function of the current availability of motive affordances in the situation, current motivationally relevant bodily or interoceptive states, and the result of the competition among alternative active motives. Here we present a biologically-based theoretical framework, embodied in two different computational models, that shows how individuals with stable personality characteristics, can nevertheless exhibit considerable within-person variability in across time and situations.
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http://dx.doi.org/10.1016/j.jrp.2016.10.005 | DOI Listing |
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
J Psychopathol Clin Sci
January 2025
Department of Human Development and Family Studies, Pennsylvania State University.
Ecological momentary assessment is increasingly leveraged to better understand affective processes underlying substance use disorder treatment and recovery. Research in this area has yielded novel insights into the roles of mean levels of positive affect (PA) and negative affect (NA) in precipitating drug craving and substance use in daily life. Little of the extant substance use disorder treatment research, however, considers dynamic patterns of PA and NA, separately or in relation to one another, or how such patterns may differ from those observed among nonclinical samples.
View Article and Find Full Text PDFJ Consult Clin Psychol
January 2025
Department of Clinical Psychology and Psychotherapy, Osnabruck University.
Objective: The therapeutic alliance is one of the most stable predictors of symptom burden over the course of therapy. So far, this effect has only been examined on the basis of sessions. Continuous-time models (CTM) allow this relationship to be modeled as a continuous process in which the actual time interval between measurements is considered.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
December 2024
Department of Psychology, North Dakota State University, Fargo, ND, USA.
Objectives: Although research has shown that higher levels of within-person variability across cognitive tasks (dispersion) are associated with cognitive decline in clinical samples, little is known about dispersion in comparatively younger, non-clinical, and national samples. A better understanding of dispersion is needed to elucidate for whom and under what circumstances dispersion can be used as a reliable indicator of cognitive health.
Method: We used data from the Midlife in the United States Study (MIDUS; n = 2,229; Mage = 56 years, range = 33-83; 56% female) to: (a) characterize dispersion and its cross-sectional correlates in a non-clinical, adult lifespan sample and (b) examine changes in dispersion over time to determine for whom changes in dispersion may reflect better or worse cognitive aging.
Arch Clin Neuropsychol
January 2025
School of Nursing, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Cognitive intra-individual variability (IIV) is a sensitive marker of neuropathology and is increased in people with HIV (PWH). In a sample of PWH from the United States Deep South, we examined the relationship of cognitive IIV with cognitive impairment and social determinants of health (SDoH). This secondary analysis included 131 PWH from a larger cognitive training protocol.
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