Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / HEM512 - NURSING(MASTER'S DEGREE)

Code: HEM512 Course Title: STATISTICAL DATA ANALYSIS Theoretical+Practice: 2+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department NURSING(MASTER'S DEGREE)
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)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Using statistical package program to analyze data and reporting the results. Students conduct survey research to learn research analysis techniques. Introducing the necessary tools to implement statistical methods and develop further the understanding of assumptions and limitations.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can explain the basic concepts of measurement and evaluation. PO-9 9- Conduct research that will contribute to the field of nursing
PO-10 10- Tracks scientific developments specific to the field of nursing
PO-11 11- Access information which analyzes the specific field of nursing
PO-12 12- Evidence-based nursing practice reflects the
Laboratory Exam
Presentation
Performance Project
LO-2 Can analyze data PO-9 9- Conduct research that will contribute to the field of nursing
PO-10 10- Tracks scientific developments specific to the field of nursing
PO-11 11- Access information which analyzes the specific field of nursing
PO-12 12- Evidence-based nursing practice reflects the
Laboratory Exam
Presentation
Performance Project
LO-3 Can ınterpret the data analyzed PO-9 9- Conduct research that will contribute to the field of nursing
PO-10 10- Tracks scientific developments specific to the field of nursing
PO-11 11- Access information which analyzes the specific field of nursing
PO-12 12- Evidence-based nursing practice reflects the
PO-13 13- Know the basic philosophy of nursing education
Laboratory Exam
Presentation
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Basic Content of Statistics. Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales. Collecting the data methods. Questionnaire survey method. Sampling. Introducing the statistical package program. Data entry, data definition. Graph and table introducing. Confidence intervals. Hypothesis tests. Correlation coefficient. Chi-square analysis. ANOVA. Regression Analysis.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic Contents of Statistics.
2 Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales.
3 Data collection methods. Questionnaire survey method. Sampling.
4 Data collection methods. Questionnaire survey method. Sampling.
5 Plot and table introduction.
6 Confidence intervals.
7 Hypothesis tests.
8 mid-term exam
9 Chi-square analysis.
10 t tests
11 t tests
12 Analysis of Variance
13 Analysis of Variance
14 Nonparametric tests
15 Nonparametric tests
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 “Paket Programlar ile İstatistiksek Veri Analizi-I” Prof. Dr. Kazım ÖZDAMAR
Required Course instruments and materials
SPSS program Computer Projection. Board Pen

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 1 3 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam 1 3
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper 1
9.Project
final exam 1 3 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 3 14 42
       b) Search in internet/Library 4 8 32
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 3 7 21
Oral Examination 0
Quiz 0
Laboratory exam 2 1 2
Own study for mid-term exam 3 7 21
mid-term exam 3 1 3
Own study for final exam 4 7 28
final exam 3 1 3
0
0
Total work load; 180