Uncovering general, shared, and unique temporal patterns in ambulatory assessment data

Psychological Methods

Volumn 24, Issue 1, 2019, Pages 54-69

  Lane, Stephanie T ^a   Gates, Kathleen M ^a   Pike, Hallie K ^a   Beltz, Adriene M ^b   Wright, Aidan G C ^c  

^a The University of North Carolina at Chapel Hill   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Daily diary data; Idiographic methods; Structural equation modeling; Time series analysis

Indexed keywords

BORDERLINE STATE; COMPUTER SIMULATION; HUMAN; METHODOLOGY; MONTE CARLO METHOD; PATHOPHYSIOLOGY; PROCEDURES; PSYCHOLOGY; STATISTICAL ANALYSIS;

BORDERLINE PERSONALITY DISORDER; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; MONTE CARLO METHOD; PSYCHOLOGY; RESEARCH DESIGN;

EID: 85051950753     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/met0000192     Document Type: Article

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