Physical Therapy and Rehabilitation
Course Details
KTO KARATAY UNIVERSITY
Faculty of Health Sciences
Programme of Physical Therapy and Rehabilitation
Course Details
Faculty of Health Sciences
Programme of Physical Therapy and Rehabilitation
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 99500008 | Sağlıkta Araştırma ve Biyoistatistik | 3 | Autumn | 5 | 2+0+2 | 3 | 3 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Asst. Prof. Bayram Sönmez ÜNÜVAR |
| Instructor(s) | Asst. Prof. Bayram Sönmez ÜNÜVAR |
| Instructor Assistant(s) | - |
Course Content
Temel istatistiksel kavramlar, Tanımlayıcı istatistikler, Tablo ve grafikler, Örnekleme yöntemleri, Normal dağılım ve Hipotez testleri, Korelasyon ve regresyon çözümlemesi
Objectives of the Course
Basic statistical concepts, descriptive statistics, creating and interpreting tables and graphics, basic sampling methods, concepts of standard error and confidence intervals, hypothesis testing, correlation and simple to teach linear regression analysis.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | P.9.1 | 1 | |
| O2 | P.9.2 | 1 | |
| O3 | P.2.36 | 1 | |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Basic statistical concepts statistics, biostatistics, usage areas of biostatistics, universe, sample, statistics, parameters, data, variables, data types |
| 2 | Descriptive statistics classification of data, mean and position measures, prevalence measures. |
| 3 | Tables and graphics univariate table (marginal table) and graphs: histogram, bar graph, branch-leaf graph, box-line graph, mean-standard deviation graphs |
| 4 | Two / multi variable tables and graphs Cross tabulations, multivariable applications of basic graphical representations, scatter graphs |
| 5 | Normal distribution |
| 6 | Sampling methods, Standard error and confidence intervals |
| 7 | Midterm |
| 8 | Introduction to hypothesis testing: the aim, steps, errors, p and alpha values ??of hypothesis testing, decision making process, parametric and nonparametric hypothesis tests. |
| 9 | Hypothesis Testing: single sample tests |
| 10 | Hypothesis Testing: two independent sample tests |
| 11 | Hypothesis Testing: two dependent sample tests |
| 12 | Hypothesis Testing: dependent and independent K sample tests |
| 13 | Correlation and regression analysis |
| 14 | An overview |
Textbook or Material
| Resources | Sümbüloglu K ve Sümbüloğlu V. Biyoistatistik. Somgür Yayıncılık, Ankara, 2013. |
| Sümbüloglu K ve Sümbüloğlu V. Biyoistatistik. Somgür Yayıncılık, Ankara, 2013. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 1 | 35 | 35 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 1 | 10 | 10 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 45 | 45 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 90 | ||
| Total Work Load / 30 | 3 | ||
| Course ECTS Credits: | 3 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P9 |
|---|---|---|---|
| O1 | Hipotez testleri, korelasyon ve regresyon analizleri sonucunda elde edilen istatistiksel çıktıları yorumlar ve sağlık alanındaki araştırma sorularına ilişkin karar verir. | - | - |
| O2 | Temel istatistiksel kavramları, veri türlerini ve tanımlayıcı istatistikleri açıklar; verileri uygun tablo ve grafiklerle sunar. | - | - |
| O3 | Normal dağılım, örnekleme yöntemleri, standart hata, güven aralığı ve hipotez testi kavramlarını açıklar; farklı örneklem türlerine uygun istatistiksel testleri seçer. | - | - |