Direct retrospective measurement of therapeutic changes: An example using the Czech version of the Questionnaire of Personal Changes (Q-PC)
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články
- Klíčová slova
- Questionnaire of Personal Changes, direct measurement of change, factor analysis, positive change bias, retrospective measurement of change, sensitivity to change,
- MeSH
- dospělí MeSH
- duševní poruchy * terapie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- průzkumy a dotazníky normy MeSH
- psychometrie * přístrojové vybavení MeSH
- reprodukovatelnost výsledků MeSH
- retrospektivní studie MeSH
- skupinová psychoterapie * metody MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
Objective: The study aimed to test the psychometric properties of the Czech translation of the Questionnaire of Personal Changes (Q-PC), a measure designed for retrospective (direct) measurement of change in psychotherapy.Methods: A sample of group psychotherapy clients (N = 222) and a nonclinical sample (N = 167) sample were used. Clients in the clinical sample were administered the Q-PC in addition to several pre-post outcome measures. Confirmatory factor analysis, correlational analysis, and structural equation modeling were used to test the Q-PC's factor structure, longitudinal measurement invariance, reliability, convergent validity, sensitivity to change, and other psychometric properties.Results: The Q-PC demonstrated a unidimensional structure that was strictly invariant between two follow-up measurement waves. The measure also demonstrated excellent reliability and sensitivity to change and good convergent validity. Furthermore, it demonstrated a similar relationship to baseline severity as the pre-post outcome measures.Conclusions: The retrospective measurement of change is a promising approach that has the potential to complement the traditional pre-post measurement of change.
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