SMALL AREA ESTIMATION IN SPLIT QUESTIONNAIRES

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Kamgar Saeideh; NAVVABPOUR HAMIDREZA

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Seminar Paper

Paper Information

Seminar: IRANIAN STATISTICAL CONFERENCE
Year:2014 | Issue:12

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Title

SMALL AREA ESTIMATION IN SPLIT QUESTIONNAIRES

Author(s)

Kamgar Saeideh | NAVVABPOUR HAMIDREZA | Issue Writer Certificate

Keywords

RESPONSE BURDEN

MATRIX SAMPLING

EMPIRICAL BEST LINEAR UNBIASED PREDICTION

MULTIPLE IMPUTATION

PREDICTIVE MEAN MATCHING

Abstract

A CONNECTION BETWEEN LENGTH OF A SURVEY QUESTIONNAIRE AND THE RESPONSE RATE, RESPONSE BURDEN AND PRECISION OF SURVEY STATISTICS IS AN INTERESTED TOPIC IN SURVEY RESEARCH METHODS. SEVERAL STUDIES REVEAL THAT LENGTHY SURVEY QUESTIONNAIRES DECLINE THE RESPONSE RATES. SPLIT QUESTIONNAIRE METHOD WHICH INTRODUCED AS A SOLUTION TO DECREASE THE NON-RESPONSE RATE AND RESPONSE BURDEN, INVOLVES SPLITTING THE QUESTIONNAIRE INTO SUB-QUESTIONNAIRES AND THEN ADMINISTERING THESE SUB-QUESTIONNAIRES TO DIFFERENT SUBSETS OF AN ORIGINAL SAMPLE.AS AN ALTERNATIVE TO THIS APPROACH WE SUGGEST A METHOD OF DESIGNING AND ANALYZING SPLIT QUESTIONNAIRE, USING SMALL AREA ESTIMATION. THIS METHOD RELIES ON THE FACT THAT, IN THE SPLIT QUESTIONNAIRE METHOD EACH SAMPLE UNIT OBVIOUSLY DOES NOT RESPOND TO ALL ITEMS AND CONSEQUENTLY, FOR EACH ITEM THERE IS NOT ENOUGH SAMPLE TO SUPPORT DIRECT ESTIMATES OF SUFFICIENT PRECISION. IN A SIMULATION STUDY WE SHOW OUR APPROACH PROVIDES MORE RELIABLE STATISTICS THAN EXISTED METHODS.

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APA: Copy

Kamgar, Saeideh, & NAVVABPOUR, HAMIDREZA. (2014). SMALL AREA ESTIMATION IN SPLIT QUESTIONNAIRES. IRANIAN STATISTICAL CONFERENCE. SID. https://sid.ir/paper/920247/en

Vancouver: Copy

Kamgar Saeideh, NAVVABPOUR HAMIDREZA. SMALL AREA ESTIMATION IN SPLIT QUESTIONNAIRES. 2014. Available from: https://sid.ir/paper/920247/en

IEEE: Copy

Saeideh Kamgar, and HAMIDREZA NAVVABPOUR, “SMALL AREA ESTIMATION IN SPLIT QUESTIONNAIRES,” presented at the IRANIAN STATISTICAL CONFERENCE. 2014, [Online]. Available: https://sid.ir/paper/920247/en

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