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Methodology of Research II

Course developer

Course abstract

In Methodology of Research students learn basic concepts of inductive inquiry, the representativity problem, specific or collection of empirical information and basic methods of statistical processing (sampling, the pointer calculation of hypothesis testing, analysis of variance, correlation and regression analysis).

Learning outcomes and their assessment

After course of Methodology of Research student knows the basic empirical data processing techniques, using logical analysis can select specific data suitable mathematical methods as well as is competent in planning trials or experiments taking into account the type and extent of empirical data needed to solve specific research tasks.

Compulsory reading

1. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un MS Excel. Rīga: Datorzinību centrs, 2003. 354 lpp.
2. Krastiņš O., Ciemiņa I. Statistika: mācību grāmata. Rīga: LR Centrālā statistikas pārvalde, 2003. 267 lpp.
3. Levine D. M., Ramsey P.P., Smitd R.K. Applied statistics for Engineers and Scientists: Using Microsoft Excel and MINITAB. Upper Saddle River, New Jersey: Prentice Hall, 2001. 671 p.
4. Arhipova I., Bāliņa S. Statistika ar MS Excel ikvienam II. Rīga: Datorzinību centrs, 2000. 136 lpp.

Further reading

1. Johnson R.A., Wichern D.W. Applied Multivariate Statistical Analysis, 6th ed. USA: Pearson Education, Inc., 2007. 773 p.
2. Zar J.H. Biostatistical Analysis. 4th edition. Prentice Hall International, INC. 1999. 663 p.
3. Everitt B.S., Der A. Handbook of statistical analysis using SAS. London: Published by Chapman & Hall, 1996. 157 p.

Periodicals and other sources

1. The Official Journal of the International Association for Statistical Computing "Computational Statistics & Data Analysis", ISSN 0167-9473
2. "The Journal of Modern Applied Statistical Methods". United States, ISSN 1538-9472
3. International Journal of Data Analysis Techniques and Strategies, IJDATS. ISSN 1755-8069