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Quantitative Research Designs (2 cr)

Code: NU21RM11-3001

General information


Enrollment

01.12.2022 - 22.01.2023

Timing

30.01.2023 - 02.04.2023

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

Irén Vikström-Dahl

Groups

  • NU21D-V
    Nursing, full time studies 2021, Vasa

Objective

The student will:
- become familiar with the most common methods of quantitative data collection and analysis
- be able to carry out simple statistical calculations and tests
- become familiar with the research process and master the different phases of the process

Content

The student will:
- become familiar with the most common methods of quantitative data collection and analysis
- be able to carry out simple statistical calculations and tests
- become familiar with the research process and master the different phases of the process

Location and time

Novia, Alere
Spring 2022

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 1-5)

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

Introduction to Nursing Research at Novia UAS