Stimulus Expectancy Assessment Tool
Description
The data collected with the 'Stimulus Expectancy Assessment Tool' (SEAT) included binary (yes/no) responses from 435 adults regarding their belief that six different placebo-like agents (e.g., pill, powder, drink) could enhance mental, work or sports performance. Each participant’s responses generated six binary variables reflecting their positive or negative stimulus expectancy. Additional demographic information (age, gender, physical activity, and belief system) was also collected to explore group differences in expectancy levels.
Files
Steps to reproduce
Recruit a sample of at least 400 adults who complete an online survey containing demographic questions and the six-item image-based SEAT questionnaire, coding any belief in performance enhancement as "yes" and no belief as "no." Analyze the six binary expectancy responses using confirmatory factor analysis (CFA) to test for a unidimensional latent factor (Tendency to Believe in Positive Effects) and check internal consistency with Cronbach’s alpha. Model how varying levels of expectancy influence response probability using logistic regression and compare expectancy scores across demographic and belief-based groups with ANOVA.
Institutions
- Szechenyi Istvan Egyetem