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Contents
Front Matter
Introduction
1.
Introduction to Research
2.
Types of Research Applied to Home Science - I
3.
Types of Research Applied to Home Science - II
4.
Types of Research Applied to Home Science - III
5.
Experimental Research and its Ethical Issues
6.
Research problem
7.
Review of Literature and Documentation
8.
Framing a Research Design/Process
9.
Application of Computer in Research
10.
Primary Date - Observation Method
11.
Interview Method
12.
Questionnaire and Schedule Method
13.
Techniques in preparing good questionnaire
14.
Pre-Testing of Questionnaire
15.
Process in conducting a survey
16.
Secondary Data Collection - Published Sources
17.
Secondary data collection- unpublished source - I - Introduction- application- advantages and disadvantages – case study
18.
Secondary data collection: Unpublished source – II
19.
Measurement Techniques
20.
Scaling techniques: Scaling in research, Meaning of measurement scales and scaling, scale classification bases, Important scaling techniques, scale construction techniques
21.
Introduction to Sampling
22.
Probable Sampling Technique I
23.
Probable Sampling Technique II
24.
Non probable sampling techniques
25.
Sample Size and its Determination
26.
Hypothesis and Variables - Meaning, Classification and Uses
27.
Processing operation – Editing, coding, classification
28.
Frequency Distribution
29.
Tabulation of Data
30.
Parametric and non – parametric test – meaning, importance, application, merits and demerits
31.
Measures of Central Tendency
32.
Measures of Dispersion - I
33.
Measures of Dispersion- II
34.
Simple Linear Correlation
35.
Simple Linear Regression
36.
Association of Attributes
37.
Chi-Square Test
38.
Analysis of Variance
39.
Probability Distribution
40.
Test of Significance II – Large Sample
41.
Non-parametric test I – Mean ranks, Mann Whitney test, Wilcoxon test, Kruskal test, Friedman
42.
Non –parametric test II – counts or percent, chi square, Mc Nemar test, Cocharn Q test, Spearman correlation.
43.
Application of Software in Statistical Analysis – I Microsoft Excel
44.
Application of Software in Statistical Analysis II - SPSS
45.
Presentation of data I – Diagrammatic representation
46.
Presentation of data II – Graphical representation
47.
Interpretation
48.
Report Writing
49.
Bibliography, End Note, Foot Note, Appendix, Abstract & Article Writing
Back Matter
Appendix
Research methodology and statistics for home science
This is where you can add appendices or other back matter.