BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Introduction to Individual and Aggregate Data Network Models f
 or Understanding Human Processes
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261008T135804Z
UID:tag:localist.com\,2008:EventInstance_51205963628557
DTSTART:20260225T163000Z
DTEND:20260225T203000Z
DESCRIPTION:Using network models to understand human processes\n\nWith incr
 eased interest in person-centered interventions and treatments has come in
 creased interest in understanding human processes as they unfold within in
 dividuals. Additionally\, technological advances have made the collection 
 of person-specific data easier and more cost-effective for researchers int
 erested in studying human behavior within everyday contexts. This two-day 
 course focuses on using two popular network models to explore research que
 stions concerning within-person processes.\n\nThis course is intended for 
 individuals with research questions that can be answered using multivariat
 e time series data/intensive longitudinal data. Examples of such data incl
 ude daily diary data\; data collected via self-report through ecological m
 omentary sampling (ESM)\; passive data from cell phones\; and other psycho
 physiological data such as MRI data or heart rate data.\n\nThe two network
  modeling frameworks presented in this course are graphicalVAR (GVAR) and 
 Group Iterative Multiple Model Estimation (GIMME). Both models can be used
  to explore processes as they unfold within individuals to obtain individu
 al person-specific network models (idiographic analysis) or group/populati
 on level network models (nomothetic analysis).  Differences between the mo
 deling frameworks will be presented. Challenges and considerations for cho
 osing between methods will be discussed.\n\nStatistical models and topics 
 presented during this course include the following:\n\nVector autoregressi
 on (VAR) time series analysis in both non-SEM and SEM frameworksMultilevel
  Modeling (MLM)Issues with aggregating data when trying to understand with
 in-person processesFitting of network models using graphicalVAR and GIMME 
 approachesApproaches for summarizing idiographic results using meta-analyt
 ic techniquesThis course is applied in nature and offers a conceptual over
 view of the modeling frameworks as well as the technical details needed to
  fit the models. Examples with hands on learning will be provided througho
 ut the two-day course to give learners the opportunity to practice fitting
  and interpreting models.\n\nRegistration and fee (refundable for students
 ) are required for Zoom link access.
LOCATION:
SUMMARY:Introduction to Individual and Aggregate Data Network Models for Un
 derstanding Human Processes
URL;VALUE=URI:https://calendar.unc.edu/event/introduction-to-individual-and
 -aggregate-data-network-models-for-understanding-human-processes-2353
CATEGORIES:Workshops and Classes
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261008T135804Z
UID:tag:localist.com\,2008:EventInstance_51205963629582
DTSTART:20260227T163000Z
DTEND:20260227T203000Z
DESCRIPTION:Using network models to understand human processes\n\nWith incr
 eased interest in person-centered interventions and treatments has come in
 creased interest in understanding human processes as they unfold within in
 dividuals. Additionally\, technological advances have made the collection 
 of person-specific data easier and more cost-effective for researchers int
 erested in studying human behavior within everyday contexts. This two-day 
 course focuses on using two popular network models to explore research que
 stions concerning within-person processes.\n\nThis course is intended for 
 individuals with research questions that can be answered using multivariat
 e time series data/intensive longitudinal data. Examples of such data incl
 ude daily diary data\; data collected via self-report through ecological m
 omentary sampling (ESM)\; passive data from cell phones\; and other psycho
 physiological data such as MRI data or heart rate data.\n\nThe two network
  modeling frameworks presented in this course are graphicalVAR (GVAR) and 
 Group Iterative Multiple Model Estimation (GIMME). Both models can be used
  to explore processes as they unfold within individuals to obtain individu
 al person-specific network models (idiographic analysis) or group/populati
 on level network models (nomothetic analysis).  Differences between the mo
 deling frameworks will be presented. Challenges and considerations for cho
 osing between methods will be discussed.\n\nStatistical models and topics 
 presented during this course include the following:\n\nVector autoregressi
 on (VAR) time series analysis in both non-SEM and SEM frameworksMultilevel
  Modeling (MLM)Issues with aggregating data when trying to understand with
 in-person processesFitting of network models using graphicalVAR and GIMME 
 approachesApproaches for summarizing idiographic results using meta-analyt
 ic techniquesThis course is applied in nature and offers a conceptual over
 view of the modeling frameworks as well as the technical details needed to
  fit the models. Examples with hands on learning will be provided througho
 ut the two-day course to give learners the opportunity to practice fitting
  and interpreting models.\n\nRegistration and fee (refundable for students
 ) are required for Zoom link access.
LOCATION:
SUMMARY:Introduction to Individual and Aggregate Data Network Models for Un
 derstanding Human Processes
URL;VALUE=URI:https://calendar.unc.edu/event/introduction-to-individual-and
 -aggregate-data-network-models-for-understanding-human-processes-2353
CATEGORIES:Workshops and Classes
END:VEVENT
END:VCALENDAR