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Validity of the counter-app method in the assessment of intrusions. | LitMetric

Validity of the counter-app method in the assessment of intrusions.

J Behav Ther Exp Psychiatry

Department of Psychology, Division of Clinical Psychology and Epidemiology, University of Basel, Switzerland. Electronic address:

Published: December 2022

AI Article Synopsis

  • The counter-app method effectively measures the frequency of intrusions by having participants log occurrences on their smartphones during a set time.
  • In two studies involving 142 students, the method showed strong positive correlations with other valid measures of intrusion frequency, indicating good convergent and predictive validity.
  • However, it has limitations in differentiating frequency from related factors like duration and intensity, making it less suitable for research that requires such distinctions.

Article Abstract

Background And Objectives: The counter-app method is often used to assess the frequency of intrusions. The method requires the participants to press a button on a smartphone whenever an intrusion occurs during a predefined time period. We evaluated the convergent, discriminant, and predictive validity of the counter-app method in two studies.

Methods: In the first study, we assessed the frequency of intrusions with a counter-app method, thought-sampling method, and a retrospective measure in N = 77 students. Additionally, we assessed retrospectively-estimated duration, percentage of time, intensity, and intrusiveness of intrusions. The second study (N = 65) was identical to the first except the thinking-aloud method replaced the thought-sampling method, and additionally we assessed behavioral neutralizing.

Results: The counter-app frequency was positively correlated with the convergent (thought-sampling and thinking-aloud frequencies, and retrospectively-estimated frequencies of intrusions) and predictive (behavioral neutralizing) validity criteria. The correlations between counter-app frequency and discriminant validity criteria (retrospectively-estimated duration, percentage of time, intensity, and intrusiveness of intrusions) were not smaller than the correlations between counter-app frequency and convergent validity criteria.

Limitations: We evaluated the predictive validity of the counter-app method using a criterion typical of obsessive-compulsive disorder research. Thus, the result for predictive validity might not transfer to other areas.

Conclusions: Our findings support convergent and predictive, but not discriminant, validity of the counter-app method. The counter-app method can validly assess the frequency of intrusions but is not appropriate if the study requires the differentiation of frequency from other constructs such as duration.

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Source
http://dx.doi.org/10.1016/j.jbtep.2022.101775DOI Listing

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