Opetussuunnitelmat

Objective

The student is able to use basic quantitative and qualitative data processing tools for collecting, presenting, and analysing data. The student understands the basic concepts in quantitative and qualitative data analysis. The course will focus on practical examples including the use of SPSS and NVivo tools.

IBCRI Skills in Critical and Analytical Understanding

Critically review, analyze and understand the information available from academic and professional business sources in the context of reporting Data Analysis results.

IBCOM Communication Skills

Communicate responsibly and effectively in English through oral, written, and digital formats in the context of reporting academic and professional Data analysis results.

Content

Quantitative Part - Data collection, survey method, organizing data, data presentation, descriptive statistics, exploratory data analysis, discrete probability distributions, normal distribution, confidence interval estimation, hypothesis testing, simple linear regression, multiple regression, variance analysis.

Qualitative Part - Basic qualitative research skills for novice including - ethics, traditional interviewing techniques, focus groups, ethnography, action research, unobtrusive measures, historiography, case study, how to manage collected qualitative data and disseminate findings.

Qualifications

No prerequisites

Assessment criteria, satisfactory (1)

Sufficient (1) -

Critical and Analytical Understanding Skills - You show some ability to analyze and evaluate academic and business information relevant to Data Analysis.

Communications Skills - You are able to transmit to a limited extent your and your team’s ideas and findings in English in relation to Data Analysis

Satisfactory (2) -

Critical and Analytical Understanding - You show basic ability to analyze and evaluate academic and business information relevant for Data Analysis.

Communications Skills - You are able to get your main message through when presenting your or your team’s ideas and findings in English but improvement would be needed.

Assessment criteria, good (3)

Good (3) -

Critical and Analytical Understanding Skills - You show ability to analyze and evaluate academic and business information relevant to Data Analysis.

Communications Skills - You are able to transmit in a clear manner your and your team’s ideas and findings in English in relation to Data Analysis.

Very Good (4) -

Critical and Analytical Understanding - You show very good ability to analyse and evaluate academic and business information relevant for Data Analysis.

Communications Skills - You are able to get your main message through when presenting your or your team’s ideas and findings in a very good manner in English.

Assessment criteria, excellent (5)

Excellent (5) -

Critical and Analytical Understanding - You show excellent ability to analyze and evaluate academic and business information relevant for Data Analysis.

Communications Skills - You are able to get your main message through when presenting your or your team’s tideas and findings in a convincing manner in English.

Materials

Textbooks -
Data Analysis with SPSS - A First Course in Applied Statistics (4th Edition) Stephen A. Sweet, Karen Grace-Martin, 2012
Qualitative Research Methods for the Social Sciences, 8/E, Bruce L. Berg, California State University, Long Beach, Howard Lune, Hunter College, 2012

Additional material -
Berenson, Levine, and Krehbiel (2004). Basic Business Statistics - Concepts and Applications, 9th Edition.

Cresswell (2003). Research Design, Qualitative, Quantitative and Mixed Methods Approaches