Control Measures for Non Sampling Errors 1. Sampling Errors arise due to: POPULATION SPECIFICATION ERROR—when the researcher does not understand who (s)he.

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Presentation transcript:

Control Measures for Non Sampling Errors 1

Sampling Errors arise due to: POPULATION SPECIFICATION ERROR—when the researcher does not understand who (s)he should survey. For e.g. in a survey about breakfast cereal consumption - who should be surveyed? The mother makes the purchase decision, but the children influence her choice. SAMPLE FRAME ERROR—when the wrong sub-population is used to select a sample. For e.g. if the sample frame is from car registrations and telephone directories. The results may be wrongly predicted. SELECTION ERROR—This occurs when only those that are interested respond. It can be controlled by pre-survey contact requesting cooperation, actual surveying, post survey follow-up if a response is not received. NON-RESPONSE—Non-response errors occur when respondents are different than those who do not respond. The extent of this non- response error can be checked through follow-up surveys etc. SAMPLING ERRORS—These errors occur because of variation in the number or representativeness of the sample that responds. These errors can be controlled by (1) careful sample designs, (2) large samples and (3) multiple contacts to assure representative response. 2

Non Sampling Errors: Types  Conceptual Errors: Lack of qualified and suitable enumerators Lack of proper training of field staff to make them thorough with the concepts and definitions involved  Errors of Recording/ Transcription: Due to carelessness and negligence of the data collector  Errors of Inaccurate Measurement: Due to erroneous figure of measurement given by the informant 3

 Errors in Totalling:  When there are many items to be totalled up  Totalling of subtotals may quite often lead to such errors  Errors of Omission:  When field worker fails to ask certain questions in the block  Due to non availability of required information Non Sampling Errors: Types Contd… 4

Bias of the Interviewer:  Due to inadequate training or partial understanding of instructions  Putting a question in a specific way or telling suggestive answers Errors of Inconsistency: When data are inconsistent with the similar information collected in some other block of the schedule Non Sampling Errors: Types Cont. 5

 Response Error:  Due to wrong notion present in the mind of respondent  Due to some kind of fear  Due to wrong understanding of questions  Due to Illiteracy  Due to lack of clarity in questions  Due to deliberate poor response.  Error due to Prestige/ Self interest: Due to prestige, pride or self interest, informant may introduce bias by upgrading education, expenditure and downgrading age, income, etc. Non Sampling Errors: Types Contd. 6

Errors due to recall lapse : If the recall period is longer, answers may be based on guess or averages  Error due to absence of right informant  Error due to incorrect identification of FSU/ SSU: Boundaries not correctly identified due to lack of adequate effort or due to misguidance by some person  Errors due to longer reference period: Inclusion of information pertaining to period out of reference period Exclusion of information pertaining to the period within the reference period. Non Sampling Errors: Types Contd… 7

Methods of Controlling Non Sampling Errors  Recruitment of proper primary field worker who has got: Aptitude for field work Good knowledge of the survey area/local language Proper academic qualification Tactfulness and resourcefulness  Training: Required for facilitating and understanding the sampling design, various concepts & definitions, schedules of enquiry and procedure of data collection 8

Methods of Controlling Non Sampling Errors - Cont. Purpose of training/workshops is to bring uniformity in concepts and procedures Active participation by primary field workers and supervisors  Inspection/ Supervision: On the spot verification Instant feedback to the investigating staff Inspection norms  Probing: Probing questions should be simple Should not create any sort of bitterness  Cross checking 9

Methods of Controlling Non Sampling Errors - Cont.  Scrutiny and Super Scrutiny  Monthly Meetings in all AOs/ SAOs  Feedback Reports  Role of experienced field staff in improvement of quality  Amendments in the Schedules and Clarifications: Pilot Survey 10