Quantitative Research MethodsLaajuus (5 op)

Osaamistavoitteet

The student develop skills of data management, analysis, interpretation and drawing inferences in the context of real life situation by applying various quantitative research methods i.e. descriptive and inferential statistical methods. The ‘real life’ situation can be either actual thesis topic or a chosen phenomenon in order to complete this course.
After students theorize and create hypotheses, students investigate the chosen business phenomena. The findings are then placed in relation to their hypotheses in order to draw inferences and provide future research suggestions.
Students also explore issues pertaining to data sources, dissertation management, and software applications. The quantitative analysis is the core aspect of this course which is done with the help of SPSS. The students also learn to present, interpret, and compare their findings through tabular and pictorial/graphical presentations.

Sisältö

1. Understanding SPSS environment
2. Graphical/descriptive data presentation
3. Hypotheses building
4. Descriptive analysis
5. Correlation analysis
6. Bivariate, Multivariate and Logistic Regression analysis
7. Tests of significance
8. Presenting and inferring quantitative findings in thesis

Esitietovaatimukset

Research and development competences in Bachelor's degree

Arviointikriteerit, tyydyttävä (1)

1 (Sufficient): The student knows the various extracts of the research / approaches and research methods required. The student is able able to identify the problem and development areas and is able to choose the research method according to the development area. The student is able to produce a report according to the reporting requirements of the university of applied sciences.

2 (Satisfactory): The student is familiar with the different extracts of the research / approaches and is able to select the right research approach, research methodology, data collection method and the method of analysis. Student is able to identify the problem and work areas of development and is able to choose the research method according to the development area.He is able to shape the research questions of the problem, and to produce a report according to the reporting requirements of the university of applied sciences.
3 (Good): The student knows the various extracts of the research / approaches and is able to select the right research approach, research methodology, data collection method and the method of analysis. The student is able to take advantage of statistical methods for data collection and analysis phase. The student is able to produce a report, which is responsible for scientific reporting requirements. The student is able to analyse reliability and validity of the research.

4 (Very good): The student is able to take advantage of statistical methods for data collection and analysis phase. The student is able to evaluate scientific reports and how to use research and development related to electronic data collection and analysis methods. He is able to prepare a research report, taking into account the international scientific reporting criteria.

5 (Excellent): The student is capable of demanding research and development, and to develop an excellent research report, taking into account the international scientific reporting criteria.