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ICAR AICE-JRF/SRF Agricultural Extension Management & Communication: practice questions

ICAR AICE-JRF/SRF (PhD admission and fellowship) · India · National Testing Agency for ICAR

Original practice questions written to the published syllabus · not past papers
10worked here, free
44written to this exam in this subject
12syllabus units

What this subject covers

How new knowledge reaches farmers: extension principles, models and history, teaching and communication methods, diffusion and adoption, ICT, training, gender and evaluation.

In the exams: agricultural master's entrance examinations, extension (heavy); agricultural extension PhD entrance and fellowship examinations (heavy); agricultural development bank officer recruitment, agricultural extension (present); agricultural scientist eligibility tests, extension (heavy)

What ICAR AICE-JRF/SRF asks from it

ICAR AICE-JRF/SRF core group 18 Agricultural Extension

Programme planning steps, PRA tools and evaluation types; T&V, ATMA structure and SREP, KVK mandate, FFS and market-led extension; training models (Lynton and Pareek, Kirkpatrick, Borich); measurement of adoption, knowledge and attitude (Likert, Thurstone, Guttman); diffusion models; gender frameworks; Bennett's hierarchy and the logframe; ICT initiatives such as Kisan Call Centres.

Where the 44 questions fall

How our questions for ICAR AICE-JRF/SRF spread across the units of Agricultural Extension Management & Communication. Difficulty: 0 easy, 16 medium, 28 hard.

Diffusion and adoption of innovations and adopter categories9
Monitoring, evaluation and impact assessment: Bennett's hierarchy and the logframe8
Capacity development and training5
Extension models: training and visit, farmer field schools, pluralistic, market-led and public-private extension4
Programme planning and evaluation4
Gender mainstreaming3
Concepts, principles and philosophy of extension2
History of extension in the USA, Japan and India2
Early community development and intensive agricultural district programmes2
Communication models and barriers2
Extension teaching methods and audio-visual aids2
Cyber-extension and ICT1

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 · Extension models: training and visit, farmer field schools, pluralistic, market-led and public-private extension · hard

In ATMA, the Strategic Research and Extension Plan (SREP) is prepared mainly through:

  1. Participatory rural appraisal with farmers and line departments
  2. Remote sensing surveys by the state space applications centre
  3. Company market research on input sales in the district
  4. A national template issued unchanged to every district
Answer and working

A. Participatory rural appraisal with farmers and line departments

SREP is a participatory district plan built with PRA, from which annual block and district action plans are drawn. It is designed as bottom-up, the opposite of a uniform national template.

2 · Diffusion and adoption of innovations and adopter categories · medium

Adoption of a new variety in a district has a mean adoption time of 7 years after release and a standard deviation of 2 years. A farmer who adopted 4 years after release falls in which of Rogers' categories?

  1. Late majority
  2. Early majority
  3. Innovator
  4. Early adopter
Answer and working

D. Early adopter

Mean − 2 sd = 3 years and mean − 1 sd = 5 years. Adoption at 4 years lies between them, which defines early adopters. Innovators adopt before 3 years; early majority between 5 and 7 years; late majority between 7 and 9 years.

3 · Diffusion and adoption of innovations and adopter categories · hard

In a Bass diffusion model, the market potential is 10,000 farmers, the coefficient of innovation p = 0.03 and the coefficient of imitation q = 0.38. If 2,000 farmers have already adopted, how many new adopters are expected in the next period?

  1. 3280
  2. 848
  3. 240
  4. 1060
Answer and working

B. 848

New adopters = (p + q × F) × (M − N) where F = 2000/10000 = 0.2. So (0.03 + 0.38 × 0.2) × 8,000 = 0.106 × 8,000 = 848. 3280 ignores the cumulative fraction; 1060 applies the rate to all 10,000 instead of the 8,000 not yet adopted; 240 ignores imitation.

4 · Diffusion and adoption of innovations and adopter categories · medium

In a study, adoption index scores have a mean of 52.4 and a standard deviation of 14.8. Respondents are classed low (below mean − SD), medium and high (above mean + SD). A farmer scoring 66.0 is classed as:

  1. Low
  2. Medium
  3. High
  4. Cannot be classed without the median
Answer and working

B. Medium

Mean − SD = 37.6 and mean + SD = 67.2. A score of 66.0 lies between them, so it is medium. It is above the mean but not above 67.2; the median is not needed for this rule.

5 · Capacity development and training · hard

In Bloom's taxonomy as revised in 2001, the highest level of the cognitive domain is:

  1. Create
  2. Analyse
  3. Evaluate
  4. Synthesis
Answer and working

A. Create

The revised order is remember, understand, apply, analyse, evaluate, create. In the 1956 original, evaluation was highest and synthesis came before it, which is why 'Evaluate' and 'Synthesis' tempt candidates.

6 · Capacity development and training · hard

Five extension officers rate the importance of a competency as 5, 4, 5, 4, 5 and their own ability as 2, 3, 3, 2, 4 (each on a 1-5 scale, in the same officer order). Using the Borich model, the mean weighted discrepancy score (mean discrepancy × mean importance) is:

  1. 8.28
  2. 1.80
  3. 41.40
  4. 5.04
Answer and working

A. 8.28

Discrepancies = 3, 1, 2, 2, 1, mean = 1.8; mean importance = 4.6; MWDS = 1.8 × 4.6 = 8.28. 1.80 is the unweighted mean discrepancy; 5.04 weights by mean ability instead of importance; 41.40 uses the sum of discrepancies instead of their mean. Higher MWDS means higher training priority.

7 · Capacity development and training · medium

According to Herzberg's two-factor theory, which factor is a motivator rather than a hygiene factor for extension staff?

  1. Salary level
  2. Recognition for achievement
  3. Working conditions
  4. Quality of supervision
Answer and working

B. Recognition for achievement

Herzberg's motivators (achievement, recognition, responsibility, the work itself) create satisfaction; hygiene factors (pay, working conditions, supervision, policy) only prevent dissatisfaction.

8 · Monitoring, evaluation and impact assessment: Bennett's hierarchy and the logframe · medium

In the Targeting Outcomes of Programs (TOP) model of Bennett and Rockwell, programme planners:

  1. Skip the KASA level because it cannot be measured
  2. Work up the hierarchy, starting from the available budget, staff and vehicles
  3. Work down the hierarchy from desired social, economic and environmental conditions
  4. Use only the three lowest levels for planning purposes
Answer and working

C. Work down the hierarchy from desired social, economic and environmental conditions

In TOP, planning moves down from desired SEE conditions to the practices, KASA, reactions, participation, activities and resources required; evaluation moves up.

9 · Monitoring, evaluation and impact assessment: Bennett's hierarchy and the logframe · medium

In a logframe, the column 'means of verification' records:

  1. The external conditions needed for success
  2. The name of the officer responsible
  3. The data source used to measure each indicator
  4. The budget line for each activity
Answer and working

C. The data source used to measure each indicator

Means of verification states where indicator data will come from (survey, records). External conditions go in the assumptions column.

10 · Monitoring, evaluation and impact assessment: Bennett's hierarchy and the logframe · hard

Propensity score matching differs from a randomised controlled trial mainly because matching:

  1. Cannot be used with survey data from farmers
  2. Always gives larger impact estimates than trials
  3. Requires randomly assigning the programme to farmers by lottery
  4. Controls only for observed characteristics, not unobserved ones
Answer and working

D. Controls only for observed characteristics, not unobserved ones

Matching pairs participants with similar non-participants on observed traits; unobserved differences such as motivation remain. Randomisation balances both observed and unobserved traits on average.

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Agricultural Extension Management & CommunicationThe full study manual, free ICAR AICE-JRF/SRFFormat, sections and how it has changed

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