KAP Survey Analysis Service: Knowledge, Attitudes and Practices Studies
KAP surveys are common in health, nutrition, WASH and development work. We score knowledge, attitudes and practices, find what is associated with them and report results in the format donors and journals expect.
What this service covers
- Scoring knowledge, attitude and practice sections, with cut-off rules such as good or poor
- Descriptive tables of respondent characteristics and key indicators
- Associations between demographics and KAP outcomes using chi-square or Fisher’s exact test
- Logistic regression to identify factors linked to good knowledge or practice
- Correlations between knowledge, attitude and practice scores
- Reliability of KAP sections
- Baseline and endline comparisons
What a KAP analysis looks like
A typical KAP report summarises the respondents, scores each domain, classifies respondents using a stated cut-off and shows which groups differ. We help you decide cut-offs that are defensible, for example based on the median, a percentage of the maximum score or an established guideline, and document them clearly.
Finding the drivers
Beyond simple cross-tabulations, we use logistic regression to estimate which factors are independently associated with, for example, good hygiene practice, reporting odds ratios and confidence intervals. We also examine whether higher knowledge is linked with better practice, which is often a key finding for programmes.
Baseline and endline
When your programme collects data at two time points, we compare indicators and test whether changes are meaningful. This connects to our programme evaluation data analysis service. For questionnaire quality, see questionnaire design and Likert-scale analysis for attitude scales.
Reporting
We prepare tables and charts in a style suited to programme reports, donor submissions or journal articles, with a methods description of scoring and cut-offs.
How the work runs
- You send the data and questionnaire with the intended scoring.
- We agree scoring rules and cut-offs.
- We analyse the data and test associations.
- You receive tables, charts and a written report section.
What you receive
- Scored KAP dataset
- Descriptive and association tables
- Regression results with odds ratios
- Charts for key indicators
- Methods and results text
Frequently asked questions
How should I set the knowledge cut-off?
Use established guidelines where they exist; otherwise a median or percentage-of-maximum rule works. We document and justify the choice.
Can you handle baseline and endline surveys?
Yes, including paired or independent comparisons depending on your design.
What sample size do I need for a KAP survey?
It depends on the expected proportions and desired precision. We can advise at design stage.
Do you work with data collected on KoboToolbox or ODK?
Yes. Exports in Excel or CSV are fine.
Can you analyse open-ended KAP responses?
Yes, with qualitative coding reported alongside the quantitative results.
Do you follow donor reporting formats?
We can structure tables and text to fit common donor and journal formats if you share the template.
Related survey & mixed-methods analysis services
Survey Data Analysis & Reporting
Cleaning, tables, group comparisons and report-ready results for survey data.
Likert Scale Analysis
Item and scale scores, reliability and appropriate tests for rating-scale data.
Programme Evaluation Data Analysis
Baseline and endline comparison, indicators and evidence for stakeholders.
Survey & Mixed-Methods Analysis Services
See every survey and mixed-methods service we offer.
Also related: Hypothesis testing · Data entry and digitisation · KAP survey sample size calculator