Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning
Sign Up to like & getrecommendations! Published in 2021 at "Computers in human behavior"
DOI: 10.1016/j.chb.2021.106772
Abstract: Societal events - such as natural disasters, political shifts, or economic downturns - are time-varying and impact the learning potential of students in unique ways. These impacts are likely accentuated during the COVID-19 pandemic, which… read more here.
Keywords: longitudinal data; intensive longitudinal; individualized learning; learning potential ... See more keywords
The dynamic interplay between sleep and mood: an intensive longitudinal study of individuals with bipolar disorder.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological medicine"
DOI: 10.1017/s0033291721005377
Abstract: BACKGROUND Sleep disturbances are important symptoms to monitor in people with bipolar disorder (BD) but the precise longitudinal relationships between sleep and mood remain unclear. We aimed to examine associations between stable and dynamic aspects… read more here.
Keywords: intensive longitudinal; bipolar disorder; dynamic interplay; sleep mood ... See more keywords
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological medicine"
DOI: 10.1017/s0033291722003014
Abstract: BACKGROUND Use of intensive longitudinal methods (e.g. ecological momentary assessment, passive sensing) and machine learning (ML) models to predict risk for depression and suicide has increased in recent years. However, these studies often vary considerably… read more here.
Keywords: time; intensive longitudinal; suicidal ideation; depression ... See more keywords
Novel digital methods for gathering intensive time series data in mental health research: scoping review of a rapidly evolving field
Sign Up to like & getrecommendations! Published in 2022 at "Psychological Medicine"
DOI: 10.1017/s0033291722003336
Abstract: Abstract Recent technological advances enable the collection of intensive longitudinal data. This scoping review aimed to provide an overview of methods for collecting intensive time series data in mental health research as well as basic… read more here.
Keywords: longitudinal data; intensive longitudinal; health; health research ... See more keywords
Toward an Intensive Longitudinal Understanding of Activated Sludge Bacterial Assembly and Dynamics.
Sign Up to like & getrecommendations! Published in 2018 at "Environmental science & technology"
DOI: 10.1021/acs.est.7b05579
Abstract: Temporal microbial community studies have broadened our knowledge of the dynamics and correlations among microbes in both natural and artificial engineering systems. Using activated sludge as a model system, we utilized the intensive longitudinal sampling… read more here.
Keywords: intensive longitudinal; longitudinal understanding; activated sludge; bulking foaming ... See more keywords
Intensive longitudinal mediation in Mplus.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000536
Abstract: Much of the existing longitudinal mediation literature focuses on panel data where relatively few repeated measures are collected over a relatively broad timespan. However, technological advances in data collection (e.g., smartphones, wearables) have led to… read more here.
Keywords: longitudinal data; intensive longitudinal; models indirect; longitudinal mediation ... See more keywords
Development, validation, and comparison of self-report measures for positive and negative affect in intensive longitudinal research.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological assessment"
DOI: 10.1037/pas0001200.supp
Abstract: Affect is central to human functioning. Due to its dynamic nature, it is often studied with intensive longitudinal designs, yet the development and validation of measures for this purpose have received little systematic attention. In… read more here.
Keywords: development validation; intensive longitudinal; positive negative; emotion items ... See more keywords
On the Use of Mixed Markov Models for Intensive Longitudinal Data
Sign Up to like & getrecommendations! Published in 2017 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2017.1370364
Abstract: ABSTRACT Markov modeling presents an attractive analytical framework for researchers who are interested in state-switching processes occurring within a person, dyad, family, group, or other system over time. Markov modeling is flexible and can be… read more here.
Keywords: longitudinal data; intensive longitudinal; markov; models intensive ... See more keywords
At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study
Sign Up to like & getrecommendations! Published in 2018 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2018.1446819
Abstract: ABSTRACT With the growing popularity of intensive longitudinal research, the modeling techniques and software options for such data are also expanding rapidly. Here we use dynamic multilevel modeling, as it is incorporated in the new… read more here.
Keywords: intensive longitudinal; cogito study; structural equation; dynamic structural ... See more keywords
Indices of pain variability: a paradigm shift.
Sign Up to like & getrecommendations! Published in 2019 at "Pain"
DOI: 10.1097/j.pain.0000000000001627
Abstract: Pain researchers and scientists acknowledge that pain is dynamic and can vary substantially. Yet, much of what we know about pain comes from studies that assess pain at single time points. The study by Mun… read more here.
Keywords: intensive longitudinal; paradigm shift; time; variability ... See more keywords
Using Intensive Longitudinal Data to Identify Early Predictors of Suicide-Related Outcomes in High-Risk Adolescents: Practical and Conceptual Considerations
Sign Up to like & getrecommendations! Published in 2020 at "Assessment"
DOI: 10.1177/1073191120939168
Abstract: Mobile technology offers new possibilities for assessing suicidal ideation and behavior in real- or near-real-time. It remains unclear how intensive longitudinal data can be used to identify proximal risk and inform clinical decision making. In… read more here.
Keywords: longitudinal data; intensive longitudinal; risk; suicide related ... See more keywords