Psychometric Assessment of the Breastfeeding Self-Efficacy Scale-Short Form: A Confirmatory Factor Analysis in Malawian Mothers
Bibliographic record
Abstract
Background: Exclusive breastfeeding to 6 months postpartum has been related to breastfeeding self-efficacy in diverse populations. Globally, this is measured using the Breastfeeding Self-Efficacy Scale–Short Form (BSES-SF). Research Aim: To evaluate the psychometric properties of the BSES-SF among women in Malawi; and to examine the relationship between breastfeeding self-efficacy and demographic and health factors. Methods: The study design was a prospective, cross-sectional survey with a 2 week follow-up reliability check. Postpartum women ( N = 180) were recruited at a maternity hospital in Lilongwe, Malawi. In addition to the BSES-SF, the World Health Organization's Quality of Life Scale (QoL) was also administered. Furthermore, confirmatory factor analysis, Cronbach's alpha, and Pearson's correlations were used to examine the construct validity, reliability, test-retest reliability, and convergent validity. Results: The confirmatory factor analysis supported a unidimensional structure of the Malawian version of the 12-item BSES-SF. Cronbach's alpha and the intra-class correlation coefficient were 0.79 and 0.75, respectively. BSES-SF scores had significant correlation with QoL domains (physical QoL: r = 0.31, p < .001; and environmental QoL: r = 0.22, p < .01). Participants’ age, parity, and mode of delivery were positively correlated with breastfeeding self-efficacy scores. Conclusion: The findings of our study confirmed that the 12-item BSES-SF is a reliable and valid scale for assessing women’s breastfeeding self-efficacy in Malawi.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".