 | Topics to be covered | Sessions |
| I | Conceptualization |  |
 | - Scientific approach to research & Social Scientific Enquiry
- Concept, construct and variables
- Research Problems & hypothesis
- Types of Research
- Scale of measurement – some basis concepts, Reliability & Validity | 2
1
1
1
1 |
| II | Operationalisation I
a) Tools and Techniques
- Research Design
- Sampling Techniques and their uses
- Questionnaire Construction and operationalisation of variables
- Participatory Rural Appraisal (PRA) Methods: Demonstration and explanation of the exercises in the class room.
(Exercises on six PRA Tools will be discussed in the class which will be used in the field since it will not be possible to use many due to time constraint.)
Data collection and the PRA Exercise in the villages
Data collection will be done during the field trip. The participants will identify a topic; collect data from the rural areas using both traditional and PRA methods during their field trip which will be during December,07(either 7-9th or 14th -16th Dec, Tentative).They will use the statistical tools to analyze the data. | 1
1
1
1
Field Exercise |
 | b) Operationalisation – II
Tools for Data Analysis and presentation & discussion of results
i) Tabulation & diagrammatic representation of data
(This will include PRA tools.)
ii) Explanation, uses and applications of univariate and bivariate tools
iii) Explanation and uses of multivariate tools.
(There are a large number of multivariate statistical tools available for data analysis, but four are included in this course since it is practically not possible to use many).
The following multivariate tools will be explained and uses & application will be discussed.
MANOVA, Multiple Regression, Factor Analysis (Data reduction Method) and Cluster Analysis (Classificatory method).
The data collected from the filed will be used in the above statistical tools. In case some more data be required the groups will collect those in the nearby places.
For processing and analyzing the data the students will be using of Excel and SPSS package.
| 2
2
4 |
| III |
The groups will prepare a research report on their topic incorporating the data analysis and conclusions, present it in the class for discussion and submit a final report at the end of the term. | 2 |
 | Re f erence
There are a number of books on Social Research Methods in the XIM Library. However, two books viz. Foundations of Behavioural Research by F.N. Kerlinger and The Practice of Social Research by E.R.Babbie are quite handy for the first part of the course.
For the second and third part any good book on Social Research Methods or statistics will be helpful. Students are advised to refer Basic Econometrics by D.N.Gujarati or Introduction to Econometrics by Christopher Dougherty for regression analysis.
For the multivariate analysis Business Research Methods by Cooper and Schindler and/or Multivariate Data Analysis by Hair,Anderson,Tatham and Black may be referred to.
References will be given during the sessions. Materials collected from several sources relating to different topics and relevant references will also be given during the sessions to help the participants in understanding the basics of the concepts & tools to be used. The following books(some of them mentioned to earlier) may be referred to by the participants for the present course.
1. Foundations of Behavioral Research by F.N. Kerlinger
2. The Practice of Social Research by E.R.Babbie
3. Business Research Methods by Cooper and Schindler
4. Social Research Methods by C.R.Kothari
5. Basic Econometrics by D.N.Gujarati
6. Introduction to Econometrics by Christopher Dougherty
7. Business Statistics by Ken Black
8. Scientific Social Surveys and Research by P.V.Young
9. Applying Regressiion and Correlation By J Miles & M Shevlin
10. Multivariate Data Analysis by Hair, Anderson,Tatham and Black
Evaluation
a) Mid Term Test 20 %
b) Presentations of exercises 15 %
c) Final Report (including PRA) & presentation 25 %
d) End Term Test 40 %
Attendance in the class and interviews & discussions with participants will be correction features. |  |
 | Good Luck! |  |