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Using time‐lagged panel data analysis to study mechanisms of change in psychotherapy research: Methodological recommendations
Author(s) -
Falkenström Fredrik,
Solomonov Nili,
Rubel Julian
Publication year - 2020
Publication title -
counselling and psychotherapy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 32
eISSN - 1746-1405
pISSN - 1473-3145
DOI - 10.1002/capr.12293
Subject(s) - casual , session (web analytics) , psychology , autoregressive model , alliance , psychological intervention , observational study , outcome (game theory) , association (psychology) , panel data , affect (linguistics) , econometrics , cognitive psychology , computer science , psychotherapist , medicine , economics , materials science , mathematical economics , pathology , communication , psychiatry , world wide web , political science , law , composite material
The introduction of novel methodologies in the past decade has advanced research on mechanisms of change in observational studies. Time‐lagged panel models allow us to track session‐by‐session changes and focus on within‐patient associations between predictors and outcomes. This shift is crucial as change in mechanisms inherently takes place at a within‐patient level. These models also enable preliminary casual inferences, which can guide the development of effective personalised interventions that target mechanisms of change, used at specific treatment phases for optimal effect. Given their complexity, panel models need to be implemented with caution, as different modelling choices can significantly affect results and reduce replicability. We outline three central methodological recommendations for use of time‐lagged panel analysis to study mechanisms of change: (a) taking patient‐specific effects into account, separating out stable between‐person differences from within‐person fluctuations over time; (b) properly controlling for autoregressive effects; and (c) considering long‐term time trends. We demonstrate these recommendations in an applied example examining the session‐by‐session alliance–outcome association in a naturalistic psychotherapy study. We present limitations of time‐lagged panel analysis and future directions.