Study Guide

Objective

• The students are commune with the research process and master the different phases of the research process
• The students command the most common qualitative and quantitative research methods
• The students have the preparedness to write a thesis, initially under supervision, and eventually more independently
• The students command the basics of quantitative research methods of retrieving, analyzing and presenting data

Content

Phases of Research Process
Qualitative and Quantitative Research Methods
Thesis
Quantitative and Data Methods
Descriptive Data

Location and time

28.8.2023-23.2.2024 Campus Alere.

Materials

Study material and course literature on Moodle.
Holme, I. M. & Solvang, B. K. (1997). 2 (uppl.). Forskningsmetodik. Om kvalitativa och kvantitativa metoder.
Jakobsson, U. (2011). Forskningens termer och begrepp- en ordbok.
Olsson, H. & Sörensen, S. (2007). 2 (uppl.). Forskningsprocessen- kvalitativa och kvantitativa perspektiv.
Patel, R. & Davidson, B. (2011). 4 (uppl.). Forskningsmetodikens grunder. Att planera, genomföra och rapportera en undersökning.

Quantitative methods: the following literature is recommended: Denise F. Polit & Cheryl Tatano Beck. 2008. Nursing Research. Generating and Assessing Evidence for Nursing Practice. Philadelphia: Wolters Kluver., or other literature suggested by the examiner.

In addition:
Databases through Finna.
Written instructions and previous thesis.
Current research within the industry.
According to the lecturer.

Teaching methods

Jaanas part: Lectures, workshops, research, guidance, narrative method, discussions and teamwork.

Quantitative methods: lectures, exercises in computer class, as well as written assignment

Employer connections

The students are encouraged to write thesis (idea plan) as commissioned work for working life.

Exam schedules

Jaanas part, 3cr: Examination consists of submitted assignments, grade (0-5). Deadline in February and idea seminar February 14th 2024.
1. Work Plan. Students present their own plan at idea seminar February 14th, 1cr, deadline for submission of work plan: the week before, February 7th 2024. Individual feedback is given after the seminar.
2. Opposition. Students have read the appointed student's work plan and oppose the plan at the idea seminar, deadline: February 14th 2024. Grade and feedback are included in the opponent story's grade and feedback.
3. Opponent Story. Students write an opponent story for the appointed student's work plan (same as above), 1cr, deadline: February 14th 2024. Feedback and grade are given via Moodle.
4. Active participation in teaching/workshops, 1cr.

Quantitative methods: the written assignment must be submitted within a month of the date of the end of the course.

Instructions for the examinations are given by each teacher at the beginning of course part.

Completion alternatives

Jaanas part: Approved assignments (grade 0-5): own thesis plan, opposition and opposed written report of thesis plan. Own thesis plan is presented and opposed at idea seminar in February 2024. Individual feedback is given on the thesis plan after the seminar.

Quantitative methods: written assignment (graded according to the scale 1-5)

Student workload

Jaanas part:
The students work 27 hours/cr.
In class: 21hrs
Self study: 60hrs
Total: 81hrs

Quantitative methods:
The students work 27 hours/cp.
In class: 12h
Self study: 42h
Total: 54h

Further information

More information is given at course introduction.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student demonstrates superficial competence and basic understanding of the subject

Assessment criteria, good (3)

The student demonstrates a competence that is related and linked to the literature
The student can reflect and motivate from his/her point of view

Assessment criteria, excellent (5)

The student has an immerse competence and shows a deeper understanding of the subject in relation to the upcoming profession

Assessment methods and criteria

The course is evaluated based on grades (0-5) for assignments (individual and pair/team). The average of the grades for assignments form the final grade in the course.

Quantitative methods: based on the written assignment, the student's ability to understand and apply fundamental statistical concepts, and to perform a statistical analysis, is evaluated.

Assessment criteria, fail (0)

The student has not followed the instructions of the assignment and shows especially vague competences and understanding within the theme.
The assignments are inadequate or lacking.
The student has not participated or contributed anything during the course.

Quantitative methods: the student does not understand and cannot apply statistical concepts and cannot perform an adequate statistical analysis.

Assessment criteria, satisfactory (1-2)

The student has partly followed the instructions of the assignments and demonstrates superficial competence and basic understanding of the subject.
The content of submitted assignments are satisfactory.
The student has participated in the course, but the commitment and activity have been low or satisfactory.

Quantitative methods: notable weaknesses are found in the student's understanding and application of statistical concepts, or the statistical analysis is not adequately performed.

Assessment criteria, good (3-4)

The student has almost or has fullfilled the instructions of the assignments and demonstrates good or eminently good competence and good understanding within the subject.
The content of submitted assignments are good or eminently good.
The student has participated or participated actively in the course and demonstrates commitment for content of the course and course assignments.

Quantitative methods: the student predominantly demonstrates a good understanding of and can apply statistical concepts, and only minor errors are found in the statistical analysis.

Assessment criteria, excellent (5)

The student has fullfilled the instructions of the assignments and demonstrates excellent competence and a complete understanding within the subject.
The content of submitted assignments are excellent and exceptionally executed.
The student has been active during the course and demonstrates extra commitment and interest for content of the course and course assignments.

Quantitative methods: the student demonstrates a complete understanding of statistical concepts and makes only insignificant errors when applying them, and performs a statistical analysis without errors.

Qualifications

SKV22FM01

Further information

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