ICAR AICE-JRF/SRF - Agricultural Statistics, Computer Application, Bioinformatics (PhD admission and fellowship) · India · National Testing Agency for ICAR
Original practice questions written to the published syllabus · not past papersTurning 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)
ICAR AICE-JRF/SRF Agricultural Statistics
Unit 5 sampling: non-sampling errors, design and organisation of pilot and large-scale surveys, interpenetrating sub-samples.
How our questions for ICAR AICE-JRF/SRF spread across the units of Survey Design, Questionnaires, Field Operations & Non-Sampling Errors. Difficulty: 12 easy, 44 medium, 21 hard.
| Response errors and interviewer effects; interpenetrating sub-samples | 10 | |
| Non-sampling errors: sources and classification | 8 | |
| Post-enumeration surveys and coverage evaluation | 8 | |
| Confidentiality, disclosure control and release of microdata | 8 | |
| Planning a survey: objectives, population, frame and budget | 7 | |
| Data processing, editing, coding and tabulation | 7 | |
| Pilot and pre-tests | 6 | |
| Questionnaire and schedule design; recall periods | 6 | |
| CAPI, mobile data collection and paradata | 6 | |
| Total survey error framework | 6 | |
| Field organisation: training, supervision and scrutiny | 5 |
Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.
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)?
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
What does an area frame guarantee that a list frame may not?
C. Complete coverage of land
Area segments cover all land by construction, but building them is expensive.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
How does bounded recall reduce telescoping?
A. A previous interview marks the period's start
Neter and Waksberg showed bounding reduces telescoping.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
Why is a survey's sample often split into sub-rounds?
C. To spread seasonal variation evenly
Each sub-round covers a part of the year with a random part of the sample.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
Which risk is greater with CAPI than with paper?
C. One programming error affects all interviews
Instruments must be tested and version-controlled.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
What can interpenetrating sub-samples NOT detect?
A. A bias common to all investigators
A shared bias shifts every sub-sample equally.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
An estimator has bias 2 and variance 4. What is its MSE?
D. 8
MSE = variance + bias^2 = 4 + 4 = 8.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
TSE recommends designing a survey to minimise:
C. Total error at fixed cost
Trade-offs among error sources under a budget.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
Under the (n, k) dominance rule, a cell is sensitive if:
B. Its n largest units exceed k% of the total
A few dominant contributors could be estimated.
Further reading: Groves et al., Survey Methodology; Murthy, Sampling Theory and Methods; Sukhatme et al., Sampling Theory of Surveys with Applications
Which pair captures the core trade-off in disclosure control?
D. Disclosure risk and information loss
Each protection reduces analytical value.
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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