Abstract
OBJECTIVE: The aim of this study was to develop an initial valid tool to measure attitudes toward cancer-related cognitive changes.
SUBJECTS AND METHODS: After revising the literature, three main dimensions were hypothesized. Eight judges were contacted to obtain content validity evidence. A robust Exploratory Factor Analysis (EFA) was performed via a parallel analysis with an Unweighted Least Squares (ULS) estimator and polychoric correlations. The results were crossed with sociodemographic variables to find possible statistical differences and estimate the size effect. Analysis was performed in the software Factor and the statistical package R.
RESULTS: A sample of 374 participants was obtained, involving oncology patients, their caregivers, and people from the general community. A statistical fit was found in two dimensions: Awareness and Judgments [root mean squared error of approximation (RMSEA) = 0.042, standardized root mean square residual (SRMR) = 0.02, comparative fit index (CFI) = 0.99, Tucker-Lewis index (TLI) = 0.98] with a moderate correlation between them (r = 0.612). Optimal reliability indices were obtained for the total scale and its dimensions. No real statistical difference was found between sociodemographic variables; the interpretation norms were established via the quartiles.
CONCLUSIONS: The first attempt to measure the construct of interest was developed with two primary validity evidence based on the content and its internal structure. This instrument could help strengthen the prevention of cancer-related cognitive changes. More research is needed to adhere more valid evidence to the scale.
| Original language | English |
|---|---|
| Pages (from-to) | 7738-7748 |
| Number of pages | 11 |
| Journal | European review for medical and pharmacological sciences |
| Volume | 27 |
| Issue number | 16 |
| DOIs | |
| State | Published - 01 Aug 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Humans
- Colombia
- Reproducibility of Results
- Medical Oncology
- Software
- Cognition
- Neoplasms
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