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Qualitative and Quantitative Research

Research is basically classified as Qualitative and Quantitative. Qualitative research is a method of inquiry appropriated in many different academic disciplines, traditionally in the social sciences, but also in market research and further contexts. Qualitative researchers aim to gather an in-depth understanding of human behavior and the reasons that govern such behavior. The qualitative method investigates the why and how of decision making, not just what, where, when. Hence, smaller but focused samples are more often needed, rather than large samples.Qualitative research methods produce information only on the particular cases studied, and any more general conclusions are only hypotheses (informative guesses).
Quantitative research is the systematic empirical investigation of quantitative properties and phenomena and their relationships. The quantitative research aims to develop and employ mathematical models, theories and/or hypotheses pertaining to phenomena. The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships. 

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Structure of a Research Article

UNIT ROOT TEST

Stationarity and Unit Root Testing l   The stationarity or otherwise of a series can strongly influence its behaviour and properties - e.g. persistence of shocks will be infinite for nonstationary series l   Spurious regressions. If two variables are trending over time, a regression of one on the other could have a high R 2 even if the two are totally unrelated l   If the variables in the regression model are not stationary, then it can be proved that the standard assumptions for asymptotic analysis will not be valid. In other words, the usual “ t -ratios” will not follow a t -distribution, so we cannot validly undertake hypothesis tests about the regression parameters. Stationary and Non-stationary Time Series Stationary Time Series l   A series is said to be stationary if the mean and autocovariances of the series do not depend on time. (A) Strictly Stationary : n   For a strictly stationary time series the distribution of   y(t) is independent of t .   Thus it is not just

ISI Journals - Economics

1. ACTUAL PROBLEMS OF ECONOMICS 2. AGRICULTURAL ECONOMICS 3. AGRICULTURAL ECONOMICS-ZEMEDELSKA EKONOMIKA 4. AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS 5. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS 6. AMERICAN JOURNAL OF ECONOMICS AND SOCIOLOGY 7. AMERICAN LAW AND ECONOMICS REVIEW 8. ANNALS OF ECONOMICS AND FINANCE 9. ANNUAL REVIEW OF ECONOMICS 10. ANNUAL REVIEW OF FINANCIAL ECONOMICS 11. ANNUAL REVIEW OF RESOURCE ECONOMICS 12. ANNUAL REVIEW OF RESOURCE ECONOMICS 13. APPLIED ECONOMICS 14. APPLIED ECONOMICS LETTERS 15. AQUACULTURE ECONOMICS & MANAGEMENT 16. ASIA-PACIFIC JOURNAL OF ACCOUNTING & ECONOMICS 17. AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS 18. B E JOURNAL OF THEORETICAL ECONOMICS 19. BALTIC JOURNAL OF ECONOMICS 20. CAMBRIDGE JOURNAL OF ECONOMICS 21. CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE 22. CANADIAN JOURNAL OF ECONOMICS-REVUE CANADIENNE D ECONOMIQUE 23. COMPUTATIONAL ECONOMICS 24. DEFENCE AND PEACE ECONOMICS 25. EA