The Timeline Followback reports of psychoactive substance use by drug-abusing patients: Psychometric properties.

Fals-Stewart, William, O'Farrell, Timothy J., Freitas, Timothy T., McFarlin, Susan K., Rutigliano, Peter·2000·Journal of Consulting and Clinical Psychology

Abstract

The Timeline Followback (TLFB; L. C. Sobell & M. B. Sobell, 1996) interview, which uses a calendar method developed to evaluate daily patterns and frequency of drinking behavior over a specified time period, has well-established reliability and validity for assessing alcohol consumption. Although several investigators have used the TLFB to evaluate drug-using behavior, few studies have examined the psychometric properties of the interview for this purpose. The authors conducted TLFB interviews with a sample of adult drug-abusing patients seeking treatment for substance abuse (n = 113) at baseline, posttreatment, and quarterly thereafter for 12 months. It was found that the patients' reports about their drug consumption using this method generally had high (a) retest reliability, (b) convergent and discriminant validity with other measures, (c) agreement with collateral informants' reports of patients' substance use, and (d) agreement with results from patients' urine assays.

Cites (4)

  1. A new scale of social desirability independent of psychopathology.
    Crowne, Douglas P., Marlowe, David · 1960 · Journal of Consulting Psychology
  2. Timeline Follow-Back
    Sobell, Linda C., Sobell, Mark B. · 1992 · Measuring Alcohol Consumption
  3. The drug abuse screening test
    Skinner, Harvey A. · 1982 · Addictive Behaviors
  4. New Data from the Addiction Severity Index Reliability and Validity in Three Centers
    McLELLAN, A. THOMAS, LUBORSKY, LESTER, CACCIOLA, JOHN, GRIFFITH, JEFFREY, EVANS, FREDERICK, BARR, HARRIET L., OʼBRIEN, CHARLES P. · 1985 · The Journal of Nervous and Mental Disease

Show all 4 references

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    Petry, Nancy M. · 2005
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    Carroll, Kathleen M., Ball, Samuel A., Martino, Steve, Nich, Charla, Babuscio, Theresa A., Nuro, Kathryn F., Gordon, Melissa A., Portnoy, Galina A., Rounsaville, Bruce J. · 2008 · American Journal of Psychiatry

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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Timeline Followback reports of psychoactive substance use by drug-abusing patients: Psychometric properties. https://app.cochat.ai/papers/10.1037//0022-006x.68.1.134
The paper
Fals-Stewart, W., O'Farrell, T. J., Freitas, T. T., McFarlin, S. K., & Rutigliano, P. (2000). The Timeline Followback reports of psychoactive substance use by drug-abusing patients: Psychometric properties. Journal of Consulting and Clinical Psychology. https://doi.org/10.1037//0022-006x.68.1.134

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.