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Yes, I can! Development and validation of the self-efficacy for self-help scale
Samuel Tomczyk1, Sascha Heineck1, Thomas McLaren1
1University of Greifswald, Institute of Psychology, Department Health and Prevention, Germany.
This study introduces the Self-Efficacy for Self-Help Scale (SESH) to measure motivation for health self-help. The SESH scale demonstrates strong reliability and validity, aiding research and clinical practice in self-help interventions.
Area of Science:
- Psychology
- Digital Health
- Health Services Research
Background:
- Self-help interventions for health issues, including depression, are increasingly popular.
- Low real-world uptake of digital self-help tools highlights a need to investigate motivational factors.
- Task-specific self-efficacy is a key motivational process rarely examined in self-help research.
Purpose of the Study:
- To develop and psychometrically evaluate the Self-Efficacy for Self-Help Scale (SESH).
- To assess the reliability, validity, and predictive utility of the SESH scale in the context of health self-help.
Main Methods:
- A randomized controlled trial involving 344 adults tested the SESH scale at three time points.
- Psychometric evaluation included factorial validity, reliability (internal consistency, split-half), convergent and discriminant validity.
- Predictive validity was assessed using the theory of planned behavior questionnaire for self-help.
Main Results:
- The unidimensional SESH scale exhibited excellent reliability and construct validity.
- The scale demonstrated strong predictive validity, with the theory of planned behavior explaining 49% of variance in self-help intentions.
- Sensitivity to change was not clearly supported, though SESH scores differed between intervention and control groups.
Conclusions:
- The SESH scale is a psychometrically sound measure for assessing self-efficacy in self-help.
- This scale can be utilized in both epidemiological studies and clinical practice to advance self-help research.
- Further research with longer follow-ups and diverse samples is recommended.
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