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Indian Statistical Service Examination Survey Design, Questionnaires, Field Operations & Non-Sampling Errors: practice questions

Indian Statistical Service Examination (with Indian Economic Service) · India · Union Public Service Commission

Original practice questions written to the published syllabus · not past papers
10worked here, free
16written to this exam in this subject
10syllabus units

What this subject covers

Turning a sampling design into data: pilot surveys, questionnaire and schedule design, enumerator training and supervision, CAPI and digital data capture, total survey error, non-sampling error models and post-enumeration checks, as used in large-scale agricultural and household surveys.

In the exams: AICE-JRF Ag Stat Unit 5 'non-sampling errors', 'design and organization of pilot and large scale surveys' (heavy); UPSC ISS Statistics III (present); national statistical offices (applied)

Where the 16 questions fall

How our questions for Indian Statistical Service Examination spread across the units of Survey Design, Questionnaires, Field Operations & Non-Sampling Errors. Difficulty: 1 easy, 9 medium, 6 hard.

Non-sampling errors: sources and classification3
Planning a survey: objectives, population, frame and budget2
Response errors and interviewer effects; interpenetrating sub-samples2
Post-enumeration surveys and coverage evaluation2
Data processing, editing, coding and tabulation2
Pilot and pre-tests1
Questionnaire and schedule design; recall periods1
Field organisation: training, supervision and scrutiny1
Total survey error framework1
Confidentiality, disclosure control and release of microdata1

10 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Planning a survey: objectives, population, frame and budget · medium

An SRS calculation gives n0 = 400. With design effect 1.5 and expected response rate 80%, what sample should be drawn (n = n0 x deff / response rate)?

  1. 600
  2. 500
  3. 480
  4. 750
Answer and working

D. 750

n = 400 x 1.5 / 0.8 = 750.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

2 · Questionnaire and schedule design; recall periods · hard

Why do NSS expenditure rounds use different reference periods for different items?

  1. Durables are bought weekly by most households
  2. Optimal recall differs by purchase frequency
  3. All items must share one fixed period by law
  4. Short periods give no sampling variance at all
Answer and working

B. Optimal recall differs by purchase frequency

Frequent food items suit short recall; durables suit a year.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

3 · Field organisation: training, supervision and scrutiny · medium

Why should supervision be independent of the investigator's reporting line?

  1. It makes the frame complete
  2. It encourages honest reporting of problems
  3. It doubles the effective sample size
  4. It removes all sampling error
Answer and working

B. It encourages honest reporting of problems

Independence makes checks credible.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

4 · Non-sampling errors: sources and classification · medium

Response rate 80%, respondent mean 50, non-respondent mean 40. What is the bias of the respondent mean (bias = (1 - RR)(mean_r - mean_nr))?

  1. 10
  2. 12.5
  3. 2
  4. 8
Answer and working

C. 2

(1 - 0.8) x (50 - 40) = 2.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

5 · Non-sampling errors: sources and classification · medium

Which remedy for non-response sub-samples non-respondents for intensive follow-up?

  1. Yates-Grundy method
  2. Warner's randomised response
  3. Lahiri's method
  4. Hansen-Hurwitz technique
Answer and working

D. Hansen-Hurwitz technique

Treated in sampling-theory-advanced.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

6 · Response errors and interviewer effects; interpenetrating sub-samples · easy

Who introduced interpenetrating sub-samples?

  1. P. C. Mahalanobis
  2. M. H. Hansen
  3. P. V. Sukhatme
  4. L. Kish
Answer and working

A. P. C. Mahalanobis

In the ISI's Bengal crop surveys.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

7 · Post-enumeration surveys and coverage evaluation · medium

Census count 900, PES count 800, matched 720. What is the dual-system estimate N = n1 n2 / m?

  1. 980
  2. 810
  3. 640
  4. 1000
Answer and working

D. 1000

900 x 800/720 = 1000.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

8 · Post-enumeration surveys and coverage evaluation · hard

In an agricultural census, what does re-measurement of holdings in sample villages estimate?

  1. Content error in reported area
  2. Sampling error of the census totals
  3. Non-response in the population census
  4. The number of livestock births
Answer and working

A. Content error in reported area

Re-measurement compares reported with measured area.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

9 · Data processing, editing, coding and tabulation · hard

Crop areas summing to net sown area is an example of which edit?

  1. Range edit
  2. Consistency edit
  3. Validity edit
  4. Statistical edit
Answer and working

B. Consistency edit

It checks a relationship between fields.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

10 · Data processing, editing, coding and tabulation · medium

Survey weights are first computed as:

  1. Inverse selection probabilities
  2. Overall response rates by stratum
  3. Edit failure rates
  4. Interview durations
Answer and working

A. Inverse selection probabilities

Then adjusted for non-response and calibrated.

Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications

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Read the subject

Survey Design, Questionnaires, Field Operations & Non-Sampling ErrorsThe full study manual, free Indian Statistical Service ExaminationFormat, sections and how it has changed

More Indian Statistical Service Examination practice

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Survey Design, Questionnaires, Field Operations & Non-Sampling Errors for other exams

ICAR AICE-JRF/SRF · IndiaASRB NET · India

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