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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | ISG5537 | İŞ SAĞLIĞI VE GÜVENLİĞİNDE İSTATİSTİK | Elective | 1 | 1 | 0 |
| | Level of Course Unit | | Second Cycle | | Objectives of the Course | | The aim of this course is to enable the researchers to use and apply statistical concepts and statistical tests. The course includes basic statistical concepts and the use of statistical techniques. In this course, it is taught how to use these techniques in computer environment. | | Name of Lecturer(s) | | Dr. Öğr. Üyesi Turgay Demirel | | Learning Outcomes | | 1 | To know the basic concepts and methods of statistics | | 2 | To recognize the importance of statistics in scientific research | | 3 | To be able to read the statistical representations like graphs and tables | | 4 | To be able to make sense of central tendency and propagation measures | | 5 | Interpret the specific parameters by commenting on the characteristics of the normal distribution | | 6 | To know the reason and steps of the hypothesis testing | | 7 | To be able to select and use appropriate tests in comparing the means of the groups | | 8 | Organizing, implementing and analyzing data to reveal relationships between values | | 9 | To be able to compare means and calculate relationships using parametric and non-parametric tests in SPSS program, and to be able to show and interpret the findings of the analysis appropriately |
| | Mode of Delivery | | Evening Education | | Prerequisites and co-requisities | | No Prerequisites | | Recommended Optional Programme Components | | Students participating in the course are expected to do class preparation activities and SPSS practices on a weekly basis. Students are expected to install SPSS software on their personal computers. | | Course Contents | | Use of statistics in scientific research, Basic Concepts of Statistics (Variables, Scales) Frequency Distributions Using Tables and Graphics, Central Tendency and Distribution Measures, Normal Distribution, Skewness and Kurtosis, Tests and General Principles, Hypothesis Testing Process, t Test, Variance Analysis, Correlation , Non-Parametric tests | | Weekly Detailed Course Contents | |
| 1 | Introduction to Statistics
Use of Statistics in Research
Descriptive and Inferential Statistics
Population, Sample | Implementation of SPSS interface | - | | 2 | Frequency Distributions
Table Types
Graphics and Properties
Chart Types | Entering data into SPSS
Creating a frequency table
Creating graphics | - | | 3 | Central Tendency Measures
Central Distribution Measures | Data cleaning
Re-coding
Total score and average score calculation
Descriptive statistics applications | - | | 4 | Normal Distribution, Skewness and Kurtosis | Checking the normal distribution | - | | 5 | Tests and General Principles | Data Entry application | - | | 6 | Hypothesis Testing Process | Descriptive statistics applications | - | | 7 | t Test | Conducting one sample t tests, interpreting one sample t test results, writing APA result section | - | | 8 | Mid-Term Exam | - | | | 9 | Variance Analysis | Conducting One-way ANOVA , interpretation of test results, writing APA result section | - | | 10 | Correlation | Conducting Correlation analysis, interpretation of test results, writing APA result section | - | | 11 | Non-Parametric Tests
| Conducting nonparametric tests, interpreting test results and writing APA results section | - | | 12 | Practice Session | Explain what variables are in a data set that will be given to you?
Check whether the normality assumptions of the data set are met.
Check whether the homogeneity assumptions of the data set are met.
Create the frequency table for the variables in the data set.
Create the graphics for the variables in the data set.
Make and report the relevant analyzes by explaining what analyzes can be done in the data set. | | | 13 | Practice Session | Find a data collection tool related to your field and apply it to at least 40 people.
Add at least two variables to the data collection tool. (One of the variables should be in two categories and the other in more than two categories)
Enter the data you applied into SPSS.
Analyze the data you have obtained. (Have the Assumptions of Normality met? What analysis did you decide to do?)
Report the analysis results in accordance with the APA format. | | | 14 | Final Exam | | |
| | Recommended or Required Reading | | 1. IBM SPSS Statistics 20 Brief Guide ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/ Manuals/IBM_SPSS_Statistics_Brief_Guide.pdf
2. Glass, G.V., & Hopkins, K. (1995), Statistical Methods in Education and Psychology, Pearson Allyn & Bacon; 3rd edition. ISBN: 0205142125
3. Field, A. (2009). Discovering statistics using SPSS (3rd edition). London: Sage
4. Howell, D., C. (2013). Cengage Advantage Books: Fundamental Statistics for the Behavioral Sciences, Sage, 8th edition. ISBN: 1285076915
5. Gravetter, F. J., & Wallnau, L. B. (2004). Statistics for the Behavioral Sciences. (6th ed.). Minneapolis, MN: West Publishing
6. Green, S. B., & Salkind, N. J. (2004). Using SPSS for Windows: Analyzing and Understanding Data. (4th ed.). NJ: Prentice Hall
7. Pallant, J. (2001). SPSS Survival Manual: A Step by Step Guide to data Analysis using SPSS. (3rd ed.). NY: Open University Press
8. Pallant, J. (2016). SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi (Balcı, S. ve Ahi, B. Çev.) Ankara:ANI Yayıncılık
9. Huff, D. (2002). İstatistik ve yalan: İstatistik ile nasıl yalan söylenir. İstanbul: Sarmal Yayınları
| | Planned Learning Activities and Teaching Methods | | | Assessment Methods and Criteria | |
| Midterm Examination | 1 | 30 | | Attending Lectures | 1 | 10 | | Practice | 1 | 30 | | Report Preparation | 2 | 30 | | SUM | 100 | |
| Final Examination | 1 | 40 | | Report Preparation | 1 | 60 | | SUM | 100 | | Term (or Year) Learning Activities | 60 | | End Of Term (or Year) Learning Activities | 40 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | No |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 1 | 1 | | Attending Lectures | 1 | 1 | 1 | | Practice | 1 | 1 | 1 | | Discussion | 1 | 1 | 1 | | Case Study | 1 | 1 | 1 | | Brain Storming | 1 | 1 | 1 | | Report Preparation | 1 | 1 | 1 | | Criticising Paper | 1 | 1 | 1 | | Individual Study for Mid term Examination | 1 | 1 | 1 | | Individual Study for Final Examination | 1 | 1 | 1 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | | | | | | | | | | | | LO2 | | | | | | | | | | | | LO3 | | | | | | | | | | | | LO4 | | | | | | | | | | | | LO5 | | | | | | | | | | | | LO6 | | | | | | | | | | | | LO7 | | | | | | | | | | | | LO8 | | | | | | | | | | | | LO9 | | | | | | | | | | |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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