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Research Methodology Definations

In: Business and Management

Submitted By shravya93
Words 1186
Pages 5
RESEARCH METHODOLOGY & INFORMATION – STUDY NOTES
Definitions:
1. BRAINSTORMING

2. CASESTUDY

3. CLUSTER SAMPLING

4. CONVENIENCE SAMPLING

5. DESCRIPTIVE RESEARCH

6. DESCRIPTIVE DATA

7. EXPLORATORY RESEARCH

8. FOLLOW-UP

9. LONGITUDINAL STUDY

10. NON PARAMETRIC STATISTIC

11. NON-PROBABILITY SAMPLING

12. PARAMETRIC STATISTIC

13. POPULATION

14. PILOT TEST

15. PURPOSIVE SAMPLING

16. PROBABILITY SAMPLING

17. QUOTA SAMPLING

18. RESEARCH ETHICS

19. RESEARCH OBJECTIVES

20. SAMPLING FRAME

21. SEMANTIC DIFFERENTIAL RATING SCALE

22. SIGNIFICANCE TESTING

23. SIMPLE RANDOM SAMPLING & SNOWBALL SAMPLING

24. STRATIFIED RANDOM SAMPLING

25. SYSTEMATIC SAMPLING

26. CRITICAL VALUES: The value of the standard statistic (z or t) beyond which we reject the null hypothesis. It is the boundary between the acceptance & rejection regions. Eg. For a 2 tailed hypothesis test being tested at α = 5% the critical values are ± 1.96. 27. TYPE I ERROR (OR) LEVEL OF SIGNIFICANCE (OR) PRODUCER’S RISK (α): A value indicating the % of sample values that are outside certain limits, assuming that the null hypothesis is true. It is the probability of rejecting the null hypothesis when it is true. Eg: α=5% indicates that 5 times out of 100 the null hypothesis gets rejected when it is true. 28. TYPE II ERROR (OR) CONSUMER’S RISK (β): It is the probability of accepting the null hypothesis when it is false. 29. POWER OF A TEST: It is the probability of rejecting the null hypothesis when it is false. It reflects how well the hypothesis test is working. It is measured as 1-β. 30. Sampling Error: An error in research findings that arises due to the use of a sample to estimate the population parameter. It is the random variation in

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