MSW-04
December - Examination 2019
Master of Social Work (Previous) Examination Social Work Research and Statistics
Paper - MSW-04
Time : 3 Hours ] [ Max. Marks :- 80
Note: The question paper is divided into three sections A, B and C.
Write answers as per the given instructions.
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Section - A 8 × 2 = 16 (Very Short Answer Questions)
Note: Answer all questions. As per the nature of the question delimit your answer in one word, one sentence or maximum up to 30 words. Each question carries 2 marks.
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1) (i) What is social research?
gm‘m{OH$ AZwg§YmZ ³¶m h¡?
390
MSW-04 / 600 / 4 (1) (P.T.O.)
MSW-04 / 600 / 4 (2) (Contd.) 390
(ii) Define Data.
V϶m H$mo n[a^m{fV H$s{OE&
(iii) What is Reporting?
à{VdoXZ ³¶m h¡?
(iv) Define Sampling.
{ZXe©Z H$mo n[a^m{fV H$s{OE&
(v) What do you understand by social survey?
gm‘m{OH$ gd}jU go Amn ³¶m g‘PVo h¡?
(vi) What is Scientific Methods?
d¡km{ZH$ nÕ{V ³¶m h¡?
(vii) Give two objectives of Social Research.
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(viii) Write two methods of sampling.
{ZXe©Z H$s Xmo {d{Y¶m| Ho$ Zm‘ {b{IE&
MSW-04 / 600 / 4 (3) (P.T.O.) 390
Section - B 4 × 8 = 32 (Short Answer Questions)
Note: Answer any four questions. Each answer should not exceed 200 words. Each question carries 8 marks.
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200 eãXm| ‘| n[agr{‘V H$s{OE& à˶oH$ àíZ 8 A§H$m| H$m h¡&
2) Explain the characteristics of social work research.
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3) Discuss the importance of Hypothesis.
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4) Describe the characteristics of scientific method.
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5) Explain the Pre - requisites o Data Analysis.
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6) Describe the methods of Random sampling.
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7) Discuss the role of computer in solving statistical problem.
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8) Define observation and discuss its types.
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9) Explain the projective techniques.
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390
MSW-04 / 600 / 4 (4)
Section - C 2 × 16 = 32 (Long Answer Questions)
Note: Answer any two questions. You have to delimit your each answer maximum up to 500 words. Each question carries 16 marks.
IÊS> - g (XrK© CÎmar¶ àíZ)
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10) Explain the types of Research design.
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11) Discuss the sources of data collection.
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12) Describe the difference between questionnaire and schedule.
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13) Discuss the types of scaling techniques.
AZw‘mnZ à{d{Y¶m| Ho$ àH$mam| H$m dU©Z H$s{OE&
