View in EDS

Modeling Dynamic Processes with Panel Data: An Application of Continuous Time Models to Prevention Research

Saved in:
Bibliographic Details
Title: Modeling Dynamic Processes with Panel Data: An Application of Continuous Time Models to Prevention Research
Language: English
Authors: Deboeck, Pascal R. (ORCID 0000-0001-5052-7837), Cole, David A., Preacher, Kristopher J., Forehand, Rex, Compas, Bruce E.
Source: International Journal of Behavioral Development. Jan 2021 45(1):28-39.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 12
Publication Date: 2021
Sponsoring Agency: National Institutes of Health (DHHS)
Contract Number: R01MH069928
R01MH069940
Document Type: Journal Articles
Reports - Research
Descriptors: Intervention, Prevention, Individual Differences, Models, Comparative Analysis, Outcomes of Treatment, Behavior Change, Data Analysis, Goodness of Fit, Depression (Psychology), Parent Child Relationship, Cognitive Restructuring, Behavior Modification, Children, Adolescents, Anxiety, Correlation, At Risk Persons
DOI: 10.1177/0165025420905354
ISSN: 0165-0254
Abstract: Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include changes to how variables affect each other over time. Continuous time models offer the opportunity to specify differing underlying processes for how individuals change from one time to the next, such as whether it is the level or change in a variable that is related to changes in an outcome of interest. After introducing continuous time models, we show how different processes can produce different expected covariance matrices. Thus, models representing differing underlying processes can be compared, even with a relatively small number of repeated observations. A substantive example comparing models that imply different underlying continuous time processes will be fit using panel data, with parameters reflecting differences in dynamics between control and intervention groups.
Abstractor: As Provided
Entry Date: 2021
Accession Number: EJ1280096
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1280096
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Modeling Dynamic Processes with Panel Data: An Application of Continuous Time Models to Prevention Research
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Deboeck%2C+Pascal+R%2E%22">Deboeck, Pascal R.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5052-7837">0000-0001-5052-7837</externalLink>)<br /><searchLink fieldCode="AR" term="%22Cole%2C+David+A%2E%22">Cole, David A.</searchLink><br /><searchLink fieldCode="AR" term="%22Preacher%2C+Kristopher+J%2E%22">Preacher, Kristopher J.</searchLink><br /><searchLink fieldCode="AR" term="%22Forehand%2C+Rex%22">Forehand, Rex</searchLink><br /><searchLink fieldCode="AR" term="%22Compas%2C+Bruce+E%2E%22">Compas, Bruce E.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Behavioral+Development%22"><i>International Journal of Behavioral Development</i></searchLink>. Jan 2021 45(1):28-39.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 12
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2021
– Name: SourceSuprt
  Label: Sponsoring Agency
  Group: SrcSuprt
  Data: National Institutes of Health (DHHS)
– Name: NumberContract
  Label: Contract Number
  Group: NumCntrct
  Data: R01MH069928<br />R01MH069940
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Prevention%22">Prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Individual+Differences%22">Individual Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Outcomes+of+Treatment%22">Outcomes of Treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+Change%22">Behavior Change</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Goodness+of+Fit%22">Goodness of Fit</searchLink><br /><searchLink fieldCode="DE" term="%22Depression+%28Psychology%29%22">Depression (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Parent+Child+Relationship%22">Parent Child Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Restructuring%22">Cognitive Restructuring</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+Modification%22">Behavior Modification</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescents%22">Adolescents</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22At+Risk+Persons%22">At Risk Persons</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1177/0165025420905354
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0165-0254
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include changes to how variables affect each other over time. Continuous time models offer the opportunity to specify differing underlying processes for how individuals change from one time to the next, such as whether it is the level or change in a variable that is related to changes in an outcome of interest. After introducing continuous time models, we show how different processes can produce different expected covariance matrices. Thus, models representing differing underlying processes can be compared, even with a relatively small number of repeated observations. A substantive example comparing models that imply different underlying continuous time processes will be fit using panel data, with parameters reflecting differences in dynamics between control and intervention groups.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2021
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1280096
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1280096
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/0165025420905354
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 28
    Subjects:
      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Prevention
        Type: general
      – SubjectFull: Individual Differences
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Comparative Analysis
        Type: general
      – SubjectFull: Outcomes of Treatment
        Type: general
      – SubjectFull: Behavior Change
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Goodness of Fit
        Type: general
      – SubjectFull: Depression (Psychology)
        Type: general
      – SubjectFull: Parent Child Relationship
        Type: general
      – SubjectFull: Cognitive Restructuring
        Type: general
      – SubjectFull: Behavior Modification
        Type: general
      – SubjectFull: Children
        Type: general
      – SubjectFull: Adolescents
        Type: general
      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: At Risk Persons
        Type: general
    Titles:
      – TitleFull: Modeling Dynamic Processes with Panel Data: An Application of Continuous Time Models to Prevention Research
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Deboeck, Pascal R.
      – PersonEntity:
          Name:
            NameFull: Cole, David A.
      – PersonEntity:
          Name:
            NameFull: Preacher, Kristopher J.
      – PersonEntity:
          Name:
            NameFull: Forehand, Rex
      – PersonEntity:
          Name:
            NameFull: Compas, Bruce E.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 0165-0254
          Numbering:
            – Type: volume
              Value: 45
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: International Journal of Behavioral Development
              Type: main
ResultId 1