Quantitative ResearchLaajuus (2 cr)
Code: NU22NR03
Credits
2 op
Objective
The student:
- is familiar with the most common methods of quantitative data collection and analysis used in nursing research
Content
Common methods of quantitative data collection and analysis
Simple statistical calculations and tests
Qualifications
Evidence Based Nursing
Assessment criteria, satisfactory (1)
Criteria for evaluation of the exam:
The student has a superficial knowledge of the subject (by heart reading)
Assessment criteria for assignment:
The student has followed the instructions and her/his knowledge of the other students' work is inadequate. The student shows limited substance knowledge, it can be essential. The student shows insufficient knowledge about the other students' assignments. The student has followed the instructions for the assignment. She/He have a deficient knowledge of the substance also touching the essential
Assessment criteria, good (3)
Criteria for evaluation of the exam:
The student can account for the literature, reflect and motivate his/her views
Assessment criteria for written assignment:
The student has followed the instructions for the written assignment and shows insufficient knowledge about the other students' written assignments. The student has mastered the substance of her/his work, but the application is limited
Assessment criteria, excellent (5)
Criteria for evaluation of the exam:
The student shows in her/his answer an in-depth knowledge and maturity beyond the traditional
Criteria for evaluation of assignment individually or in groups:
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and can lead a discussion at the seminar. The assignment and the possible opponentship show something out of the ordinary (technical execution, oral presentation, mature reflections, independent working methods)
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and lead a discussion at the seminar
Materials
See Moodle and realization plan
Enrollment
02.12.2024 - 07.01.2025
Timing
06.01.2025 - 16.02.2025
Number of ECTS credits allocated
2 op
Mode of delivery
Contact teaching
Unit
Faculty of Health and Welfare
Teaching languages
- English
Seats
0 - 55
Degree programmes
- Degree Programme in Nursing
Teachers
- Ralf Lillbacka
Teacher in charge
Ralf Lillbacka
Groups
-
NU23D-VNursing, full time studies 2023, Vasa
Objective
The student:
- is familiar with the most common methods of quantitative data collection and analysis used in nursing research
Content
Common methods of quantitative data collection and analysis
Simple statistical calculations and tests
Location and time
Novia, Alere
Spring 2025
Materials
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., as well as other literature suggested by the examiner.
Teaching methods
Lectures, exercises, independent work
Exam schedules
The written assignment must be submitted before the final course date.
Completion alternatives
Written assignment (graded according to the scale 0-5)
Student workload
1cr = 27h
2cr = 54h
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Criteria for evaluation of the exam:
The student has a superficial knowledge of the subject (by heart reading)
Assessment criteria for assignment:
The student has followed the instructions and her/his knowledge of the other students' work is inadequate. The student shows limited substance knowledge, it can be essential. The student shows insufficient knowledge about the other students' assignments. The student has followed the instructions for the assignment. She/He have a deficient knowledge of the substance also touching the essential
Assessment criteria, good (3)
Criteria for evaluation of the exam:
The student can account for the literature, reflect and motivate his/her views
Assessment criteria for written assignment:
The student has followed the instructions for the written assignment and shows insufficient knowledge about the other students' written assignments. The student has mastered the substance of her/his work, but the application is limited
Assessment criteria, excellent (5)
Criteria for evaluation of the exam:
The student shows in her/his answer an in-depth knowledge and maturity beyond the traditional
Criteria for evaluation of assignment individually or in groups:
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and can lead a discussion at the seminar. The assignment and the possible opponentship show something out of the ordinary (technical execution, oral presentation, mature reflections, independent working methods)
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and lead a discussion at the seminar
Assessment methods and criteria
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 does not understand and cannot apply statistical concepts and cannot perform an adequate statistical analysis.
Assessment criteria, satisfactory (1-2)
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 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 demonstrates a complete understanding of statistical concepts and makes only insignificant errors when applying them, and performs a statistical analysis without errors.
Qualifications
Evidence Based Nursing
Enrollment
01.12.2023 - 09.01.2024
Timing
08.01.2024 - 31.01.2024
Number of ECTS credits allocated
2 op
Mode of delivery
Contact teaching
Unit
Faculty of Health and Welfare
Teaching languages
- English
Degree programmes
- Degree Programme in Nursing
Teachers
- Ralf Lillbacka
Teacher in charge
Ralf Lillbacka
Groups
-
NU22D-VNursing, full time studies 2022, Vasa
Objective
The student:
- is familiar with the most common methods of quantitative data collection and analysis used in nursing research
Content
Common methods of quantitative data collection and analysis
Simple statistical calculations and tests
Location and time
Novia, Alere
Spring 2024
Materials
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., as well as other literature suggested by the examiner.
Teaching methods
Lectures, exercises, independent work
Exam schedules
The written assignment must be submitted before the final course date.
Completion alternatives
Written assignment (graded according to the scale 0-5)
Student workload
1cr = 27h
2cr = 54h
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Criteria for evaluation of the exam:
The student has a superficial knowledge of the subject (by heart reading)
Assessment criteria for assignment:
The student has followed the instructions and her/his knowledge of the other students' work is inadequate. The student shows limited substance knowledge, it can be essential. The student shows insufficient knowledge about the other students' assignments. The student has followed the instructions for the assignment. She/He have a deficient knowledge of the substance also touching the essential
Assessment criteria, good (3)
Criteria for evaluation of the exam:
The student can account for the literature, reflect and motivate his/her views
Assessment criteria for written assignment:
The student has followed the instructions for the written assignment and shows insufficient knowledge about the other students' written assignments. The student has mastered the substance of her/his work, but the application is limited
Assessment criteria, excellent (5)
Criteria for evaluation of the exam:
The student shows in her/his answer an in-depth knowledge and maturity beyond the traditional
Criteria for evaluation of assignment individually or in groups:
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and can lead a discussion at the seminar. The assignment and the possible opponentship show something out of the ordinary (technical execution, oral presentation, mature reflections, independent working methods)
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and lead a discussion at the seminar
Assessment methods and criteria
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 does not understand and cannot apply statistical concepts and cannot perform an adequate statistical analysis.
Assessment criteria, satisfactory (1-2)
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 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 demonstrates a complete understanding of statistical concepts and makes only insignificant errors when applying them, and performs a statistical analysis without errors.
Qualifications
Evidence Based Nursing