| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | HEM602175402 | BIOSTATISTICS | Compulsory | 1 | 2 | 5 |
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| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| To teach the basic principles and methods of biostatistics and the computer implemented solution is to make for the researchers working in the field of nursing that use general procedure. |
| Name of Lecturer(s) |
| Dr.Öğr.Üyesi Yeliz KAŞKO ARICI |
| Learning Outcomes |
| 1 | To learn and interpret descriptive statistics | | 2 | For the solution of the problems encountered can be hypothesized | | 3 | The obtained data to analyze and interpret the results | | 4 | Establish a relationship between variables and can interpret this relationship |
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| Mode of Delivery |
| Formal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Data and statistics: a review of basic mathematical concepts and hypothesis tests used in the field of nursing |
| Weekly Detailed Course Contents |
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| 1 | To introduce SPSS package program, to explain the screenshots. | | | | 2 | Performing data entry and transformations to SPSS package program, making the definition of the label | | | | 3 | Graphical presentation of the data obtained in the field of nursing | | | | 4 | To summarize the numerical data, account and use of the central measure statistics. Presenting and summarizing the data obtained in the field of nursing. Measures of central tendency | | | | 5 | Measures of variability. To interpret the computer outputs. | | | | 6 | Hypothesize for the researchs in the field of nursing, to introduce the types of error and power of test. | | | | 7 | To compare two independent samples means for the data obtained in the field of nursing -parametric tests | | | | 8 | I. Mid-term | | | | 9 | To compare two independent samples medians for the data obtained in the field of nursing - nonparametric test | | | | 10 | To compare two dependent samples means for the data obtained in the field of nursing -parametric tests | | | | 11 | To compare two dependent samples medians for the data obtained in the field of nursing - nonparametric tests | | | | 12 | To compare k-independent samples means for the data obtained in the field of nursing - ANOVA | | | | 13 | Multiple comparison tests for the data obtained in the field of nursing | | | | 14 | To compare k-independent samples medians for the data obtained in the field of nursing -Kruskal Wallis H test | | | | 15 | To investigate cause and conclusion between dependent and independent variables, or to investigate correlation between two variables for the data obtained in the field of nursing | | | | 16 | Final Exam | | |
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| Recommended or Required Reading |
| 1- Özdamar, K. (2001). SPSS ile Biyoistatistik. Eskişehir: Kaan Kitabevi, 343-360.
3- Dişçi R. (2008) Temel ve Klinik Biyoistatistik. 1. Baskı. Medikal Yayıncılık Bilimsel Eserler Dizisi, İstanbul |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| SUM | 0 | |
| SUM | 0 | | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
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| Workload Calculation |
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| Midterm Examination | 1 | 2 | 2 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 3 | 42 |
| Problem Solving | 12 | 3 | 36 |
| Self Study | 14 | 3 | 42 |
| Individual Study for Mid term Examination | 1 | 15 | 15 |
| Individual Study for Final Examination | 1 | 20 | 20 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 2 | 2 | 1 | 4 | 3 | 3 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 4 | 4 | 3 | 2 | 1 | 3 | 3 | | | | | | | LO2 | 2 | 2 | 1 | 4 | 3 | 3 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 4 | 4 | 3 | 2 | 1 | 3 | 3 | | | | | | | LO3 | 2 | 2 | 1 | 4 | 3 | 3 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 4 | 4 | 3 | 2 | 1 | 3 | 3 | | | | | | | LO4 | 2 | 2 | 1 | 4 | 3 | 3 | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 4 | 4 | 3 | 2 | 1 | 3 | 3 | | | | | |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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