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Description of Individual Course Units
| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits |
|---|---|---|---|---|---|
| 9304065142005 | Computer Oriented Biostatistics I | 1 | 2 | 8,00 |
Level of Course Unit
Yüksek Lisans
Language of Instruction
Turkish
Objectives of the Course
To evaluation findings be obtained from the research, recognition of the basic statistical methods, to development the ability to apply and to classify data of the research according to a statistical program on computer and to acquire ability of criticize the research article in terms of statistical methods.
Name of Lecturer(s)
Learning Outcomes
| 1 | To be able to explain of basic statistical concepts |
| 2 | To be able to knowledge of descriptive statistics criteria |
| 3 | To be able to encode the data on SPSS package program |
| 4 | To be able to interpret the data in tables and graphs |
| 5 | To be able to select appropriate statistical analysis method for a research |
| 6 | To be able to analysis the data by using appropriate statistical methods on SPSS package program |
| 7 | To be able to examine the research articles critical point of view with the methods of statistical analysis |
Mode of Delivery
Face to Face
Prerequisities and Co-Requisities
None
Recommended Optional Programme Components
None
Content of the Course
Basic statistical concepts Variables, descriptive statistical criteria Editing tables and graphics on computer SPSS program menus presentation and data entry Application of parametric tests and the SPSS program Nonparametric tests and SPSS application Correlation analysis (correlation) and SPSS application
Weekly Detailed Course Contents
| Week | Subjects (Theoretical) | Teaching Methods | Preparatory |
|---|---|---|---|
| 1 | The use of statistics in the field of health and the importance | ||
| 2 | Variables (qualitative, quantitative) Nominal , ordinal (ordered), interval (spacing), proportional, discrete and continuous variables Descriptive statistics 1-Measures of central tendency (mean, median, mode, geometric mean) What time, which will use the criteria of central tendency 2-Propagation criteria (range, standard deviation, variance, variation coefficient of variation, percentile, interquartile range) | ||
| 3 | Normal distribution Why is it important feature of the data distribution? Distribution of the criteria (to the right, left skewness) Distribution tests | ||
| 4 | Basic statistical concepts Standard error of the sample, the standard deviation and standard error Confidence interval and confidence limits Hypothesis testing, p-value, error level, the test statistic, the direction of the hypothesis | ||
| 5 | Descriptive Graphics and Tables Tables (one-way, two-way, nested multi-faceted) Graphs (histograms, line, pie, bar, relationship chart, graph boxer bag, stem leaf chart) Computer assisted practice | ||
| 6 | Parametric and Nonparametric Tests on SPSS packet program One-Group mean Confidence limits Student t test for one group mean | ||
| 7 | What is the Independence and dependence? Dependent on working arrangements with the two groups Dependent for the two groups paired sample t test (parametric) Dependent for the two groups the Wilcoxon test (nonparametric) | ||
| 8 | Comparison of the mean of two independent groups The two groups of the mean student t test (parametric) The two groups of the mean Mann-Whitney U test (nonparametric) Significancy test of the difference between two pairs | ||
| 9 | Computer assisted practice | ||
| 10 | Midterm Exam | ||
| 11 | Comparison of group averages more than two One-way of variance analysis (parametric) Kruskall Wallis One-way of variance analysis (nonparametric) | ||
| 12 | Comparison of the Independent two-group rate Chi-square (Pearson, Fisher, Yates) Comparison of the dependent group rates Mc Nemar test, Kappa statistics | ||
| 13 | Correlation analysis What is the Correlation? Correlation coefficient, coefficient of determination Correlation analysis | ||
| 14 | Computer assisted practice | ||
| 15 | Article on statistical evaluation and presentation | ||
| 16 | Final Exam |
Text Book / Material / Recommended Resources
1.Fox D., Fundamentals of Research in Nursing, New York, 1980 2.SEncer M, Sencer Y Toplumsal Araştırmalarda Yöntembilim, Türkiye ve Ortadoğu Amme İdaresi Ens. Yayınları, No: 172, Anakara, 1978 3.Williams M Y, Research Methodoly and It’s Application to Nursing, John Wiley Sons, New York, Toronto, 1981 4.Sümbüloğlu K, Sümbüloğlu, Bioistatistik Uygulam Kitabı, Çağ Matbaası,1986 5.Hayran M, Özdemir O, Bilgisayar İstatistik ve Tıp , Medar Hekimler Yayın Birliği, Anakara, 1996 6.Saunders B D, Trapp R G, Basic/Clinical Biostatic a Lange Medical Book, Prentice Hall, Int, Inc. USA, 1994 7.Barker D J, Çevirenler: Bertan M, Tezcan S, Pratik Epidemiyoloji 1976 8.Sümbülloğlu K, Sümbülloğlu V, Bioistatistik Çağ Matbaası 1987 9.Knap R, Basic Statistic for Nurses Second Edition, John Wiley Sono, New York, 1985 10.Abraham L I, Mezdam M D, Fitzpatrick J J, Statistics and Quantative Methods in Nursing Issues and Strategies for Research and 11Education, W B. Saunders Company, Philadelphia, London, Toronto 1989 12.Akgül A, Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri, SPSS Uygulamaları, Yükseköğretim Kurulu Matbaası, Ankara, 1997 13.Özdamar K, SPSS ile Biyoistatistik, 4. Baskı, Kaan Kitabevi, Eskişehir, 2001 14.Erefe İ, Hemşirelikte Araştırma: ilke Süreç ve Uygulamalar, Hemar-Ge Derneği Yayını, İstanbul, 2002 15.Aksakoğlu G, Sağlık Bilimlerinde Araştırma Teknikleri ve Analiz Yöntemleri, DEÜ, Rektörlük Matbaası İzmir, 2001. 16.Polit D. F. (1996). Data Analysis& Statistics for nursing Research. Appleton &Lange, New york.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
| Term (or Year) Learning Activities | Quantity | Weight |
|---|---|---|
| Midterm Examination | 1 | 100 |
| Total | 100 | |
| End Of Term (or Year) Learning Activities | Quantity | Weight |
| Final Examination | 1 | 100 |
| Total | 100 | |
| Term (or Year) Learning Activities | 40 | |
| End Of Term (or Year) Learning Activities | 60 | |
Work Pacement(s)
None
Workload Calculation
| Activities | Number | Time (hours) | Total Work Load (hours) |
|---|---|---|---|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 1 | 1 |
| Attending Lectures | 12 | 3 | 36 |
| Practice | 2 | 3 | 6 |
| Criticising Paper | 1 | 5 | 5 |
| Self Study | 1 | 3 | 3 |
| Individual Study for Homework Problems | 9 | 3 | 27 |
| Individual Study for Mid term Examination | 1 | 10 | 10 |
| Individual Study for Final Examination | 1 | 20 | 20 |
| Reading | 14 | 9 | 126 |
| Total Work Load (hours) | 235 | ||
Contribution of Learning Outcomes to Programme Outcomes
| PO 1 | PO 2 | PO 3 | PO 4 | |
| LO 1 | 4 | |||
| LO 2 | 4 | |||
| LO 3 | 4 | |||
| LO 4 | 3 | |||
| LO 5 | 3 | |||
| LO 6 | 3 | |||
| LO 7 | 3 |
* Contribution Level: 1 Very low 2 Low 3 Medium 4 High 5 Very High