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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 |