Data Analyses and Interpretation (5cr)

Evaluation scale

Hylätty/Hyväksytty

Content scheduling

Sisällön jaksotuksen tarkat tiedot on ilmoitettu opintojakson Reppu-kurssilla.

Objective

Student
- is proficient in qualitative and quantitative data processing and analysis methods and is able to apply them in research and development activities
- can analyse and interpret qualitative and quantitative data
- is able to interpret and use scientific publications in research and development activities at work and in the work community
- master the basics of combining, linking and merging data and interpreting data according to mixed methods
- can critically assess the reliability and ethics of the processing, analysis and interpretation of data and the potential for their use
- master the key research methods related to research and development in their field

Accomplishment methods

Preliminary taskT
Distance days (2-3)
Partly online course
Final assignments
Independent work

Content

Requirements for qualitative research data and conditions for data analysis
Processing, analysis, interpretation and quantification of qualitative research data
Different types of content analysis
Requirements and conditions for the analysis of quantitative research data
Processing, analysis and interpretation of quantitative survey data
Combining qualitative and quantitative data (mixed methods)

Materials

Opintojakson tarkemmat tiedot ja materiaali saatavilla Reppu-oppimisympäristössä.

Teaching methods

Verkko-oppimisympäristössä tapahtuvat luennot ja itsenäinen opiskelu.

Harjoitustehtävät.

Exam schedules

Opintojakso ei sisällä tenttiä.

International connections

Opintojaksolla hyödynnetään kansallista ja kansainvälistä tieteellistä kirjallisuutta ja tutkimusta.

Student workload

Tämän opintojakson laajuus on 5 op. Yksi opintopiste vastaa noin 27 tuntia opiskelijan työtä eli yhteensä n. 135 tuntia opiskelijan työtä.

Assessment criteria, approved/failed

Hyväksytty arvosana edellyttää kaikkien osatehtävien tekemistä hyväksytysti.

Assessment criteria, approved/failed

Approved
The student masters the basic concepts related to different types of data and is able to apply them. The student masters the basics of processing, analysis and interpretation of qualitative and quantitative data. The student is able to critically analyse and interpret qualitative and quantitative data. The student is able to perform statistical runs in a planned and correct manner and to analyse and interpret the results of analyses.