Quantitative ResearchLaajuus (3 cr)

Objective

Students are able to define the different phases of quantitative research and master the basic principles and methods of data acquisition. They are able to input and handle data by using the SPSS statistical software. Students are able to report the results appropriate way too. Additionally, they are able to interpret their own results, finished statistics and statistical researchs.

Content

- Phases of quantitative research process
- Sampling methods and experimental study
- Measurement and scale
- Making the questionnaire
- Presenting results using descriptive statistics, tables and graphs
- Examples of interdependencies between variables (correlations, cross-tabulation)
- Interpreting results and reporting resuls
- Quantitative data processing and analyzing by SPSS for Windows ?program

Qualifications

Introduction to research and development

Assessment criteria, satisfactory (1)

The student knows satisfactorily the key concepts of statistics and the basic principles and methods of data search. The student knows how to import data to the SPSS software and knows some basic measures of data processing. They are able to satisfactorily present results of a statistical analysis using frequency distributions and indicators and is able to perform the basic analyses of dependence between two variables. They are able to interpret results and understand the principles of statistical deduction.

Assessment criteria, good (3)

The student knows well the key concepts of statistics and the basic principles and methods of data search, and knows how to apply them. The student knows how to import data to the SPSS software and knows well the measures of data processing. They are able to present well results of a statistical analysis using frequency distributions and indicators and is able to perform the basic analyses of dependence between two variables. They are able to interpret results and understand the principles of statistical deduction.

Assessment criteria, excellent (5)

The student knows excellently the key concepts of statistics and the basic principles and methods of data search, and knows how to apply them. The student knows how to import data to the SPSS software and knows excellently the measures of data processing. They are able to present excellently results of a statistical analysis using frequency distributions and indicators and is able to perform the basic analyses of dependence between two variables. They are able to interpret results and understand the principles of statistical deduction.

Materials

Tarja Heikkilä. 2014. Tilastollinen tutkimus. 9. revised edition