Potential dropouts in a longitudinal study: Prevalence, stability, and associated characteristics
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
This study quantifies the prevalence and associated characteristics of subjects in a longitudinal study who are difficult to schedule and thus may become potential study dropouts. Although subject attrition over three years remained extremely low, many families were difficult to schedule for their assessments and this remained rather constant over time. Intercorrelations between the measures of scheduling difficulty were high, indicating good internal validity of the constructs. Stability of these measures from year to year was low, making it difficult to predict which families required more staff effort or were at risk for dropping out of the study in any one year. Race appeared to be associated with several measures of scheduling difficulty, while psychiatric characteristics of the sample were less so.
- American Psychiatric Association. (1987).Diagnostic and Statistical Manual of Mental Disorders (3rd ed., rev.). Washington, DC: Author.
- Capaldi, D., & Patterson, G. R. (1987). An approach to the problem of recruitment and retention rates for longitudinal research.Behavioral Assessment, 9, 169–177.
- Cordray, S., & Polk, K. (1983). The implications of respondent loss in panel studies of deviant behavior.Journal of Research in Crime and Delinquency, 20, 214–242.
- Costello, A. J., Edelbrock, C. S., Kalas, R., & Dulcan, M. (1984).The NIMH Diagnostic Interview Schedule for Children (DISC): Development, reliability, and comparison between clinical and lay interviewers. Worcester, MA: University of massachusetts Medical School.
- Farrington, D. P., & Loeber, R. (1989). RIOC and Phi as measures of predictive efficiency and strength of association in 2×2 tables.Journal of Quantitative Criminology, 5(3), 201–213. CrossRef
- Hollingshead, A. B. (1975).Four factor index of social status. New Haven, CT: Yale University.
- Lahey, B. B., Loeber, R., Stouthamer-Loeber, M., Christ, M. A. G., Green, S., Russo, M. F., Frick, P. J., & Dulcan, M. (1990). Comparison of DSM-III and DSM-III-R diagnoses for prepubertal children: Changes in prevalence and validity.American Academy of Child and Adolescent Psychiatry, 29, 620–626.
- Loeber, R., Green, S. M., Lahey, B. B., & Stouthamer-Loeber, M. (1989). Optimal informants on childhood disruptive behaviors.Development and Psychopathology, 1, 317–337.
- McAlister, A., & Gordon, N. P. (1986). Attrition bias in a cohort study of substance abuse.Evaluation Review, 10, 853–859.
- Navratil, J. L., Green, S. M., Loeber, R., & Lahey, B. B. (1994). Minimizing subject loss in a longitudinal study of deviant behavior.Journal of Child and Family Studies, 3, 89–106.
- Spitzer, R. L., & Endicott, J. (1978).Schedule for Affective Disorders and Schizophrenia. New York, NY: New York State Psychiatric Institute.
- Spitzer, R. L., Williams, J. B. W., & Gibbon, M. (1987).Structured Clinical Interview for DSM-III-R—Non-Patient Version (SCID-NP). New York: New York State Psychiatric Institute.
- Tebes, J. K. (1992). Panel attrition and external validity in the short-term follow-up study of adolescent substance use.Evaluation Review, 16, 151–170.
- Winefield, A. H. (1990). Sample attrition bias in a longitudinal study of young people.Australian Journal of Psychology, 42, 75–85.
- Potential dropouts in a longitudinal study: Prevalence, stability, and associated characteristics
Journal of Child and Family Studies
Volume 3, Issue 1 , pp 69-87
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers-Human Sciences Press
- Additional Links
- subject scheduling
- subject drop-out
- difficult subjects
- Author Affiliations
- 1. Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, 3811 O'Hara Street, 15213, Pittsburgh, PA
- 2. Department of Psychiatry, School of Medicine, University of Miami, Miami, Florida