Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9202045512015Computer Assisted StatisticsCompulsory126
Level of Course Unit
Second Cycle
Objectives of the Course
At the end of the course, students will be able to input data of research and studies into the computer, they will be able to choose and apply the appropriate analysis for the data and put the results into tables and interpret the results.
Name of Lecturer(s)
Doç. Dr. Tuncay Öğretmen
Learning Outcomes
1Students will be able to comprehend the importance of statistics in science and educational research.
2Students will be able to know about commonly used statsitics programs and their basic commands.
3Students will be able to put the data into the computer.
4Students will be able to comprehend the aims and features of descriptive and inferential statistics.
5Students will be able to distinguish the features and uses of parametrical and non-parametrical tests.
6Students will be able to analyze the data with suitable statistics and tests.
7Students will be able to put the results into tables and interpret them.
8Students will be able to interpret the analysis outputs.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Importance of statistics science and education, Data and data types, gathering data and analyzing them, Commonly used statistics programs and the basic commands of them, Description of data view page of SPSS and doing the basic procedures, Application of descriptive and inferential statistics, interpreting and writing reports on them, Doing correlational analyses and interpreting the results.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction of the course: Content, necessity, importance, forming expectations, explaining the process and the criteria of evaluation. A general view to statistics. Introduction
2Importance of statsitics in life and scientific studies and examples for practise. Reviewing and reading materials, writing a report about the views and interpretations related to tghe topic (Büyüköztürk, 2010; Pallat, 2001).
3Basic concepts: Statistics, parameter, universe, sample, data gathering instrumentsı, scales and types of them, data and types of them, variables and types of them. Reading related materials (Büyüköztürk, 2010; Pallat, 2001).
4Commonly used statistics programs (SPSS, Statistica, minitab, SAS) , general description of them. Reading related materials (Büyüköztürk, 2010; Pallat, 2001).
5Introduction of SPSS data input page and learning basic commands and doing practice on example data. Reading related materials, doing practices, studying on example data, replying the worksheets by example data (Büyüköztürk, 2010; Pallat, 2001).
6Coding data in SPSS, labeling and writing them. Reading related materials, writing sample data on SPSS page (Büyüköztürk, 2010; Pallat, 2001).
7Midterm Practical
8Doing descriptive statistics (mean, median, mode, frequency, percentage) on SPSS, putting the results into tables and intgerpreting them. Doing practice by sample data, putting into tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods.
9Doing descriptive statistics (Standard deviation, variance, range, kurtosis, skewness) on SPSS, putting the results into tables and intgerpreting them. .Doing practice by sample data, putting into tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods
10Parametrical statistics: Testing the differences between two means (t tests for related samples) Reviewing and reading materials, doing analysis by model data, making tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods (Büyüköztürk, 2010; Pallat, 2001).
11Parametrical statistics: Testing the differences between two means (t tests for unrelated samples) Reviewing and reading materials, doing analysis by model data, making tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods (Büyüköztürk, 2010; Pallat, 2001).
12Parametrical statistics: Testing the differences among more than two means (ANOVA for single group and unrelated samples) Reviewing and reading materials, doing analysis by model data, making tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods (Büyüköztürk, 2010; Pallat, 2001).
13Parametrical statistics: Testing the differences among more than two means (complicated- parametrical statistics: ANOVA (for single group) to test the differences among more than two means) Reviewing and reading materials, doing analysis by model data, making tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods (Büyüköztürk, 2010; Pallat, 2001).
14Non-parametrical tests: Chi-square, Mann-Whihtney U Test, Wilcoxon Signed Rank Test . Reviewing and reading materials, doing analysis by model data, making tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods (Büyüköztürk, 2010; Pallat, 2001).
15Correlational analyses: Correlation and simple linear regression Reviewing and reading materials, doing analysis by model data, making tables, interpreting and writing reports. Reviewing articles and theses about the use of these statistical methods (Büyüköztürk, 2010; Pallat, 2001).
16Final exam Practical
Recommended or Required Reading
Akhun, İ. (1988). Temel istatistiksel kavramlar H.Ü. Basılmış Ders Notları (3. Baskı). Ankara.. Blalock, M., H. (1972). Social statistics (2nd Ed). New York: McGraw-Hill Book Co. Baykul, Y. (1999). İstatistik metodlar ve uygulamalar (3.Baskı). Ankara: Anı Yayıncılık. Büyüköztürk, Ş. (2010). Sosyal bilimler için veriri analizi el kitabı, Araştırma Deseni SPSS Uygulamaları ve Yorum. Ankara: PegemA yayıncılık. Grimm, L., G. (1993). Statistical application for the behavioral sciences. New York: John Wiley and Sons Inc. Mann, P., S. (1992). Introductory statistics. New York: John Wiley and Sons Inc. Pallat, J. (2001). SPSS Survival manual: A step by step guide to data analysis using SPSS for Windows (Version 10). Buckingham: Open University Pres. Raynald Levesque and SPSS Inc.(2007). Programming and Data Management for SPSS® Statistics 17.0 A Guide for SPSS Statistics and SAS® Users. Chicago: SPSS Inc. Smith, G., M. (1962). A simplified guide to statistics for psychologhy and education. New York: Holt, Rinehart and Education Inc. Vadum, C., A. ve Rankin, O., N. (1998). Psychological research. New York: McGraw-Hill Book Co.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Discussion15230
Report Preparation22550
Report Presentation236
Project Preparation11515
Project Presentation133
Project Design/Management12020
Self Study15345
Individual Study for Mid term Examination11010
Individual Study for Final Examination11010
TOTAL WORKLOAD (hours)193
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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