Palestine - Labor Force Survey, LFS 2013
Estimates of Sampling Error
---> Sampling Errors
Data of this survey may be affected by sampling errors due to use of a sample and not a complete enumeration. Therefore, certain differences can be expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators: the variance table is attached with the final report. There is no problem in disseminating results at national or governorate level for the West Bank and Gaza Strip.
---> Non-Sampling Errors
Non-statistical errors are possible at all stages of the project, during data collection or processing. These are referred to as non-response errors, response errors, interviewing errors and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the field workers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey, as well as practical and theoretical training during the training course.
Also data entry staff were trained on the data entry program, which was tested before starting the data entry process. To stay in contact with the progress of field work activities and to limit obstacles, there was continuous contact with the field work team through regular visits to the field and regular meetings with them during the different field visits. Problems faced by field workers were discussed to clarify any issues.
Non-sampling errors can occur at various stages of survey implementation, whether in data collection or in data processing. They are generally difficult to be evaluated statistically. They cover a wide range of errors, including errors resulting from non-response, sampling frame coverage, coding and classification, data processing, and survey response (both respondent and interviewer-related). The use of effective training and supervision and the careful design of questions have a direct bearing on limiting the magnitude of non-sampling errors and hence enhancing the quality of the resulting data. The following are possible sources of non-sampling errors:
The implementation of the survey encountered non-response where the case (household was not present at home) during the fieldwork visit and (Vacant Housing unit) become the high percentage of the non response cases. The total non-response rate reached 8.6% which is very low once compared to the household surveys conducted by PCBS , The refusal rate reached 2.8% which is relatively low percentage compared to the household surveys conducted by PCBS, and the reason is the short questionnaire and the experience of field workers .
Other forms of Data Appraisal
Concept of data quality covers many aspects, starting from the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are seven dimensions of the statistical quality: relevance, accuracy, timeliness, accessibility, comparability, coherence, and completeness.