•   Quantitative Research Designs NU21RM11-3001 30.01.2023-12.03.2023  2 credits  (NU21D-V) +-
    Competence objectives of the study unit
    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
    Prerequisites
    Introduction to Nursing Research at Novia UAS
    Content of the study unit
    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
    Assessment criteria
    Failed (0)
    The student does not understand and cannot apply statistical concepts and cannot perform an adequate statistical analysis.
    Assessment criteria – satisfactory (1-2)
    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 (3-4)
    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
    Name of lecturer(s)

    Irén Vikström-Dahl

    Learning material

    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.

    Learning methods

    Lectures, exercises, independent work

    Objects, timing and methods of assessment

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

    Teaching language

    English

    Timing

    30.01.2023 - 12.03.2023

    Enrollment date range

    01.12.2022 - 22.01.2023

    Group(s)
    • NU21D-V
    Responsible unit

    Faculty of Health and Welfare

    Teachers and responsibilities

    Ralf Lillbacka

    Degree Programme(s)

    Degree Programme in Nursing

    Assessment scale

    H-5

    Alternative methods of attainment for implementation

    Written assignment (graded according to the scale 1-5)

    Exam dates and retake possibilities

    The written assignment must be submitted before the final course date.

    Timing and attendance

    Novia, Alere
    Spring 2022

    Student's schedule and workload

    1cr = 27h
    2cr = 54h

    Assessment criteria
    Failed (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.