2. Example of a High Frequecy Check document generated form the Shiny interface
Source:vignettes/HFC2.Rmd
HFC2.Rmd## Warning in wkt(obj): CRS object has no comment
## Warning in wkt(obj): CRS object has no comment## Warning in sp::proj4string(bufferSHP): CRS object has comment, which is lost in
## outputSummary of defined parameters
The buffer for the points to be valid is set to 10 meters from the sampled pointThe minimum duration for a survey to be valid is set to 30 minutes
The minimum duration taken into account the household size (duration per individual) for a survey to be valid is set to 10 minutes
| Questions | Lower bound | Upper bound |
|---|---|---|
| consent_received.food_security.spend_clothing | 200 | 5000 |
| consent_received.food_security.spend_communication | 100 | 1000 |
| consent_received.food_security.spend_debts | 500 | 25000 |
| consent_received.food_security.spend_education | 400 | 10000 |
| consent_received.food_security.spend_fix_shelter | 300 | 5000 |
| consent_received.food_security.spend_food | 400 | 25000 |
| consent_received.food_security.spend_fuel | 100 | 15000 |
| consent_received.food_security.spend_hh_items | 100 | 5000 |
| consent_received.food_security.spend_hygiene | 300 | 10000 |
| consent_received.food_security.spend_medication | 250 | 15000 |
| consent_received.food_security.spend_other | 500 | 25000 |
| consent_received.food_security.spend_rent | 300 | 25000 |
| consent_received.food_security.spend_tobacco | 100 | 1000 |
| consent_received.food_security.spend_transport | 100 | 1000 |
| minimumAnswers | |
|---|---|
| consent_received.shelter_nfi.non_food_items | 3 |
| consent_received.food_security.main_income | 2 |
| consent_received.child_protection.boy_risk | 3 |
| consent_received.child_protection.girl_risk | 3 |
Overall duration of the assessment till now
The total time of data collection is 17872.7 minutes and the average time per survey is 35.89 minutes
Reports
Most of the analysis selected outputed a detailed report which could be used for further analysis or to prepare the cleaning log| reportassessmentDailyValidSurveys | reportisInterviewTooShortForTheHouseholdSize |
| reportassessmentDuration | reportisInterviewWithConsent |
| reportassessmentDurationOutliers | reportisSurveyEndBeforeItStarts |
| reportassessmentProductivity | reportisSurveyMadeInTheFuture |
| reportassessmentTrackingSheet | reportisSurveyOnMoreThanADay |
| reportenumeratorErrorsDashboard | reportisSurveyStartedBeforeTheAssessment |
| reportenumeratorIsLazy | reportisUniqueIDDuplicated |
| reportenumeratorProductivity | reportisUniqueIDMissing |
| reportenumeratorProductivityOutliers | reportsurveyBigValues |
| reportenumeratorSurveysConsent | reportsurveyDistinctValues |
| reportenumeratorSurveysDuration | reportsurveyMissingValues |
| reportisInterviewAtTheSamplePoint | reportsurveyOtherValues |
| reportisInterviewCompleted | reportsurveyOutliers |
| reportisInterviewInTheCorrectSite | reportsurveySmallValues |
| reportisInterviewTooShort |
Overview of errors which should lead to a survey deletion
Programming Checks
These errors are most likely linked to some issues with the phones/ tablets used for the data collection, server configuration or connectivity issues.
Enumerators Checks
These errors are most likely linked to some lack of technical training of the enumerators, like proper use of a GPS, being certain the survey is ended in the tool used for the data collection before moving to the next one. Or to some bad behaviours for the surveys marked as too short.
Assessment follow-up
Daily surveys by status
Follow-up on the daily productivity taking into account the surveys status to get a closer look on the ones which would be usable at the end.
There is not enough points available to reach the sample size for:Enumerators follow-up
Productivity
Basic average number of surveys made daily by each enumerators (based on the number of days the enumerators worked).
Productivity outliers
The productivity distribution, in combination with the Productivity, could be usefull to identify enumerators who are particularly performent or on the other hand not enough. Keeping in mind an enumerator who over performed could be an enumerator who is cheating. A further analysis crossed with the Percentage of valid surveys, the Survey duration distribution and the time spend per question could help to identify the way the duration distribution has to be interpreted.
Percentage of valid surveys
Within all the surveys made by each enumerator, what is the percentage of them which could be used for the assessment analysis.
Surveys duration
The survey duration distribution per enumerator could be useful to identify enumerators which are consistent (i.e. having similar duration for each of their surveys made). Be aware that a consistent survey durations could be interpreted in different ways, it could be seen as a good thing, meaning the enumerator on the overall takes similar time to ask the questions, but it could also be interpreted as a negative sign if we assume the enumerator is filling the survey by himself and monitoring his time to not have a short overall duration. A closer monitoring of the time spend per question could help to identify the way the duration distribution has to be interpreted.
