Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / HEM512 - HEMŞİRELİK ANABİLİM DALI

Code: HEM512 Course Title: BIOSTATISTICS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department HEMŞİRELİK ANABİLİM DALI
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer AYNUR KIZILIRMAK (akizilirmak@nevsehir.edu.tr)
Name of Lecturer(s) AYNUR KIZILIRMAK,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
To gain the knowledge and skills of data analysis and reporting by using statistical package program in research.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can be define the basic concepts of statistics. PO-9 Conduct research that will contribute to the field of nursing
PO-10 Tracks scientific developments specific to the field of nursing
PO-12 Reflects evidence-based practices to nursing care
Examination
LO-2 Can be explain the place and importance of statistics in the field of health. PO-5 Modern in health care, technology and uses the knowledge and skills in line with evidence-based nursing practice, knowing the information technology
PO-9 Conduct research that will contribute to the field of nursing
PO-10 Tracks scientific developments specific to the field of nursing
Examination
LO-3 can be explain how to make a hypothesis. PO-9 Conduct research that will contribute to the field of nursing
PO-10 Tracks scientific developments specific to the field of nursing
PO-11 Access information which analyzes the specific field of nursing
PO-12 Reflects evidence-based practices to nursing care
Examination
LO-4 Can analyze research data. PO-9 Conduct research that will contribute to the field of nursing
PO-10 Tracks scientific developments specific to the field of nursing
PO-11 Access information which analyzes the specific field of nursing
PO-12 Reflects evidence-based practices to nursing care
Examination
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
The content of this course includes the basic concepts of statistics, the subject and basic concepts of statistics as unit, mass and variable, definition and types of variable, measurement of variables and determination of appropriate measurement level, data collection and methods, sampling methods, introduction of statistical package program. It also includes data entry, data description, graphical and tabular representations, confidence intervals, hypothesis testing, and significance testing.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic Content of Statistics. Narration method. Question answer. Problem solving method. Report preparing
2 Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales. Narration method. Question answer. Problem solving method. Report preparing
3 Data collection methods. Questionnaire survey method. Sampling. Narration method. Question answer. Problem solving method. Report preparing
4 Introducing the statistical package program. Data entry, data definition. Narration method. Question answer. Problem solving method. Report preparing
5 Plot and table introduction. Creating a table chart. Narration method. Question answer. Problem solving method. Report preparing
6 Confidence intervals. Narration method. Question answer. Problem solving method. Computer application.
7 Hypothesis tests. Narration method. Question answer. Problem solving method. Computer application.
8 mid-term exam
9 Chi-square analysis. Narration method. Question answer. Problem solving method. Computer application.
10 t tests Narration method. Question answer. Problem solving method. Computer application. Narration method. Question answer. Problem solving method. Computer application.
11 t tests Narration method. Question answer. Problem solving method. Computer application.
12 ANOVA Narration method. Question answer. Problem solving method. Computer application.
13 ANOVA Narration method. Question answer. Problem solving method. Computer application.
14 Nonparametric tests Narration method. Question answer. Problem solving method. Computer application.
15 Nonparametric tests Narration method. Question answer. Problem solving method. Computer application.
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 “Bilimsel Araştırma Süreci ve SPSS İle Veri Analizi” A., URAL, İ., KILIÇ
2 “Paket Programlar ile İstatistiksek Veri Analizi-I” Prof. Dr. Kazım ÖZDAMAR
Required Course instruments and materials
Textbook, Blackboard, computer and software

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 20
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project 10 2 20
8.Term Paper
9.Project
final exam 15 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 3 11 33
       b) Search in internet/Library 2 10 20
       c) Performance Project 4 1 4
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 5 6 30
mid-term exam 2 1 2
Own study for final exam 4 12 48
final exam 2 1 2
0
0
Total work load; 181