
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9202045512015  Computer Assisted Statistics  Compulsory  1  2  6 
 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  1  Students will be able to comprehend the importance of statistics in science and educational research.  2  Students will be able to know about commonly used statsitics programs and their basic commands.  3  Students will be able to put the data into the computer.  4  Students will be able to comprehend the aims and features of descriptive and inferential statistics.  5  Students will be able to distinguish the features and uses of parametrical and nonparametrical tests.  6  Students will be able to analyze the data with suitable statistics and tests.  7  Students will be able to put the results into tables and interpret them.  8  Students will be able to interpret the analysis outputs. 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  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  
1  Introduction of the course: Content, necessity, importance, forming expectations, explaining the process and the criteria of evaluation. A general view to statistics.  Introduction   2  Importance 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).   3  Basic 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).   4  Commonly used statistics programs (SPSS, Statistica, minitab, SAS) , general description of them.  Reading related materials (Büyüköztürk, 2010; Pallat, 2001).   5  Introduction 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).   6  Coding data in SPSS, labeling and writing them.  Reading related materials, writing sample data on SPSS page (Büyüköztürk, 2010; Pallat, 2001).   7  Midterm  Practical   8  Doing 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.   9  Doing 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   10  Parametrical 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).   11  Parametrical 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).   12  Parametrical 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).   13  Parametrical 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).   14  Nonparametrical tests: Chisquare, MannWhihtney 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).   15  Correlational 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).   16  Final 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: McGrawHill 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: McGrawHill 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   Language of Instruction  Turkish  Work Placement(s)  None 
 Workload Calculation 

Midterm Examination  1  2  2  Final Examination  1  2  2  Discussion  15  2  30  Report Preparation  2  25  50  Report Presentation  2  3  6  Project Preparation  1  15  15  Project Presentation  1  3  3  Project Design/Management  1  20  20  Self Study  15  3  45  Individual Study for Mid term Examination  1  10  10  Individual Study for Final Examination  1  10  10  
Contribution of Learning Outcomes to Programme Outcomes  LO1          LO2          LO3          LO4          LO5          LO6          LO7          LO8         
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



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