Using Intensive Longitudinal Data to Study Affective Dynamics
Michelle G. Newman, Lucas S. LaFreniere, Nicholas C. Jacobson. Relaxation-induced anxiety: Effects of peak and trajectories of change on treatment outcome for generalized anxiety disorder. Psychotherapy Research, 2018.
Linying Ji, Sy-Miin Chow, Alice C. Schermerhorn, Nicholas C. Jacobson, Mark Cummings. Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling, 2018.
Michael J. Roche, Nicholas C. Jacobson. Elections have consequences for student mental health: An accidental daily diary study. Psychological Reports, 2018.
Brandon Frank, Nicholas C. Jacobson, Landon Hurley, Dean McKay. A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders, 2017.
Michael J. Roche, Nicholas C. Jacobson, Thane M. Erickson, Aaron J. Fisher. Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM–5 alternative model of personality disorders. Journal of Abnormal Psychology, 2016.