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  Course Description
Course Name : Staticsel anaysis techniques applied to package prog SPSS

Course Code : BİS563

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall and Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Assoc.Prof.Dr. GÜLŞAH SEYDAOĞLU

Learning Outcomes of the Course : Conducts the research question and develops a hypothesis proper to the question
Selects the approprtiate study designs
Develops appropriate data collection tools according to study design
Evaluates the biostatistical parameters used in problem-oriented research types
Develops appropriate data collection tools according to study design
Does data entry using SPSS
Explains the descriptive statistics
Applies the basic parametric and nonparametric hypothesis tests
Interprets the SPSS outputs, converts the outputs to graphics and figures
Evaluate the relationship between the data, reports using schema and graphics

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of this course is to analyze the collected data by SPSS software program, to interpret and to report the findings

Course Contents : Each student will transform an idea to a research study, set up the hypothesis, design and determine the method, prepare a questionnaire related to the research, collect data, enter the data to the database, analyze the data using hypothesis testing by SPSS software and put the results into the appropriate tables and graphs

Language of Instruction : Turkish

Work Place : Biostatistics Department


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Planning and designing researches No Presentation, brain storming
2 Determining a research topic, question and hypothesis Determines a research topic, question and hypothesis Presentation, brain storming, web based review
3 Study designs Determines appropriate study design according to research topics Presentation, brain storm, web based review
4 Accurate and reliable data collection Designs a questionnaire Presentation, web based review
5 Valid and reliable data collection Designs a questionnaire creation a data base Presentation, brain storm, web based review
6 Data Entry Data entry Presentation, independent study
7 Basic statistical concepts Reading Presentation
8 Task Converts an idea to a research, develops the hypothesis, determines the study design and methodology Independent study
9 Distributions and normality tests Application with SPSS software Presentation, independent study
10 Descriptive statistics Application with SPSS software Presentation, independent study
11 Hypothesis tests Application with SPSS software Presentation, independent study
12 Basic Hypothesis tests (Chi Square test) Application with SPSS software Presentation, independent study
13 Basic Hypothesis tests (t- tests) Application with SPSS software Presentation, independent study
14 Summarizing the results with tables and graphs Analyzing the SPSS output and converting it to tables and graphs Presentation, independent study
15 Summarizing the results with tables and graphs Analyzing the SPSS output and converting it to tables and graphs Presentation, independent study
16/17 Exam- Task Analyzing the research depending on the acquired knowledge, putting it into graphs and summarizing the results


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Rosner, B. Fundamentals of Biostatistics. 6thedition 2006, Duxbury
 Biyoistatistik Bilimsel Araştırma SPSS / Prof. Dr. M. Yusuf Çelik
 Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik Ve Geçerlik-Güvenirlik / Prof. Dr. Reha Alpar
 Paket Programlar ile İstatistiksel Veri Analizi Cilt 1 Prof. Dr. Kazım Özdamar
 Paket Programlar İle İstatistiksel Veri Analizi 2 /Prof. Dr. Kazım Özdamar
 Pasw ile Biyoistatistik / Prof. Dr. Kazım Özdamar
 Uygulamalı Çok Değişkenli İstatistiksel Yöntemler/ Prof. Dr. C. Reha Alpar
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 30
    Homeworks/Projects/Others 4 70
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students design scientific research studies in order to give response to the problem arising from health and clinical sciences 4
2 Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 4
3 Students collect data from research studies, analyze, and make inferences 5
4 Students design health survey, determine the sampling method and conduct the survey 0
5 Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 0
6 Students select the appropriate statistical procedure for analysis , apply and make inferences. 5
7 Students use the necessary statistical packages for analysis, if necessary write and develop software. 5
8 Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 5
9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 0
10 Students explain demographic terminologies and statistical methods in the field of health sciences. 0
11 Students understand and use medical terminology. 1
12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 2
13 Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 3
14 Students follow the latest development in medical informatics and employ frequently used tools and methods. 0
15 Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. 2
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 4 10 40
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 25 25
Total Workload: 145
Total Workload / 25 (h): 5.8
ECTS Credit: 6