| Course Type | Compulsory Course |
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| Course Level | Master's Degree With Thesis |
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| Year of Study | 1 |
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| Semester | First Term (Fall) |
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| ECTS | 8 |
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| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Analyze and intreprete the data in a quantitavie research
- Get results in a study designed by himself/ herself using the SPSS package program and interpret them
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| Mode of Delivery | Face to face |
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| Prerequisites | No |
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| Recommended Optional Programme Components | None |
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| Course Description | In the biostatistics course, which is the application of statistical methods in health sciences, it is aimed to give students the ability to think statistically. This course focuses on the analysis of data collected by any method using statistical methods. Along with the theoretical explanation, applications will be made with SPSS, a statistical software program. |
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| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Overview and Introduction to the course topics, Importance of Health Research and Correct Planning, The Importance and Value of Biostatistics in the Field of Health |
|
2nd Week |
Types of Variables, Data and Scales, Sampling and Sampling Methods, Position and Variation Measures; Classification of Data; Frequency Distributions and Descriptive Measures (Mean, Median, Mode, Quartiles and Percentages, Standard Deviation, and Variance, Coefficient of Variation, Standard Error) |
|
3rd Week |
Presentation of Data and Methods of Table and Graphics, Marginal (Frequency) tables, crosstabs, relationship tables,Commonly used graphs in biostatistics (Histogram, Average-deviation graph, Box-Line graph, etc.) |
|
4th Week |
Probability Distributions; Probability Rules, Calculating Probabilities; Frequency Distributions and Some Theoretical Distributions ;Binomial, Poisson, Normal, Standard Normal distributions |
|
5th Week |
Sample Distribution and Confidence Interval |
|
6th Week |
Sampling Methods, Population and Sample, Ability of Sample to Represent the Population and Generalization, Sampling Error, Determination of Sample Size |
|
7th Week |
Hypothesis (Significance-) Tests, Method of measurement of data, hypotheses, level of error, sample size, Dependency or independence of groups, test types and characteristics, Statistical decision, appropriate test selection; Normal,Distribution Fit test; Homogeneity test of variances |
|
8th Week |
INTRODUCTION TO STATISTICS SOFTWARE (SPSS)(Descriptive statistics (SPSS Applications)) |
|
9th Week |
Hypothesis Tests Regarding Single Audience Mean, Two-Sample Hypothesis Tests,Significance Test of Difference Between Means in Independent Groups (Samples) (Significance test of difference between two means) ; (SPSS Applications) |
|
10th Week |
MIDTERM EXAM 1 |
|
11th Week |
Two-Sample Hypothesis Tests, Hypothesis testing in Dependent Groups(Significance test of difference between two spouses)(SPSS Applications) |
|
12th Week |
More than Two Sample Hypothesis Tests, Chi-square Tests, One Way Analysis of Variance (One Way ANOVA)(SPSS Applications) |
|
13th Week |
Introduction to Correlation and Regression Analysis |
|
14th Week |
Introduction to Correlation and Regression Analysis (SPSS Applications) |
|
| Recommended or Required Reading | 1. Jerrold h. Dice. ?Biostatistical Analysis? forth edition, Prentice-Hall, Inc.1999.
2. Prof.Dr.Reha Alpar, ?APPLIED STATISTICS and VALIDITY-RELIABILITY with Examples from Sports, Health and Education Sciences? Detay Publishing, Ankara 2010.
3. Prof. Dr. Kazım Özdamar, ?Statistical Data Analysis with Package Programs I?, Anadolu University Faculty of Science Publication, 1997.
4. Prof. Dr. Kazım Özdamar, ?Biostatistics with SPSS?, Kaan Bookstore, 1999.
5. Joaquim P. Marquez de Sa, 2007: Applied Statistics Using SPSS, Statistica, Matlab and R, free e-book, Newyork.STATİSTİK ve VALIDITY-RELIABILITY? Detay Publishing, Ankara 2010.
6. Yüksel Terzi, 2012: Ondokuz Mayıs University Science-Ed. fac. Department of Statistics, SPSS Lecture Notes.
7. Lecture notes to be given by the lecturer of the course (oys.baskent.edu.tr (moodle).
|
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| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Case Study
- Practice
- Presentation
- Project
|
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| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
15 |
| Practice |
1 |
20 |
| Total(%) |
|
65 |
| Contribution of In-term Studies to Overall Grade(%) |
|
65 |
| Contribution of Final Examination to Overall Grade(%) |
|
35 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1 |
1 |
| Preparation for Quiz |
0 |
0 |
0 |
| Individual or group work |
14 |
10 |
140 |
| Preparation for Final exam |
1 |
10 |
10 |
| Course hours |
14 |
4 |
56 |
| Preparation for Midterm exam |
1 |
5 |
5 |
| Laboratory (including preparation) |
0 |
0 |
0 |
| Final exam |
1 |
2.5 |
2.5 |
| Homework |
0 |
0 |
0 |
| Performance Practice |
1 |
14 |
14 |
| Article Presentation |
1 |
10 |
10 |
| Total Work Load | 238.5 |
| Total Work Load / 30 (h) | 7.95 |
| ECTS Credit of the Course | 8 |
|
| Language of Instruction | Turkish |
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| Work Placement(s) | No |
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