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Course Description Course Name : Applied Educational Statistics Course Code : İÖ 703 Course Type : Compulsory Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. KAMURAN TARIM GÖZÜBATIK Learning Outcomes of the Course : Explains the basic conceptions related to the educational statistics Comprehends the place and importance of statistics in the research process Explains the difference between qualitative and quantitative research Identifies the main statistical techniques used in educational studies Determines the suitable statistical techniques for the research problems Analyzes the collcetd data by using statistical analysis Presents the statistical analysis results with graphics or tables in accordance with the research objectives Comments on the statistical analysis results Computerizes the data. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The main purpose of this course is to provide students with the ability to determine suitable statistical techniques for social science problems and to analyse and interprete the results. Course Contents : The course contains basic concepts of statistics applied to education and application of parametric and nonparametric techniques which are used in social sciences. These techniques are taught by using SPSS statistical program. Language of Instruction : Turkish Work Place : classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Presentation of the lesson Examining different samples by doing research from related sources Expository teaching strategies, discussion 2 Basic Concepts : Place of statistics in the research process Variable, measurement, scale, data and statistics Examining different samples by doing research from related sources Expository teaching strategies, discussion 3 Introduction to SPSS: Creation of data file in SPSS Examining different samples by doing research from related sources Expository teaching strategies, discussion 4 Descriptive statistics, Frequency distribution, Calculation and presentation of frequency distribution with table, Calculation of the frequency distribution with graph Examining different samples by doing research from related sources Homework1 Expository teaching strategies, discussion 5 Measures of central tendency and variability, Measures of central tendency, Mean, Median Mode Variability measures Examining different samples by doing research from related sources Homework 2 Expository teaching strategies, discussion 6 Procedural statistics, Universe estimation of the value, Normal distribution curve,Hypothesis testing Examining different samples by doing research from related sources Expository teaching strategies, discussion 7 Analysis of the differences T Test and Independent Samples T Test Examining different samples by doing research from related sources Homework3 Expository teaching strategies, discussion 8 Midterm exam Preparation for the midterm exam Written Exam 9 Paired Samples T Test Examining different samples by doing research from related sources Homework 4 Expository teaching strategies, discussion 10 Analysis of Variance One Way Anova Examining different samples by doing research from related sources Homework 5 Expository teaching strategies, discussion 11 Analysis of variance for repeated measures Examining different samples by doing research from related sources homework 6 Expository teaching strategies, discussion 12 Analysis of covariance Examining different samples by doing research from related sources Homework 7 Expository teaching strategies, discussion 13 Analysis of covariance Examining different samples by doing research from related sources Expository teaching strategies, discussion 14 Chi-Square Examining different samples by doing research from related sources Homework 8 Expository teaching strategies, discussion 15 Analysis of Correlations Examining different samples by doing research from related sources Homework 9 Expository teaching strategies, discussion 16/17 Final exam Preparation for the final Written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Büyüköztürk, Ş. Çokluk, Ö. ve Köklü, N.(2010). Sosyal Bilimler için İstatistik, Ankara:APegem.  Büyüköztürk, Ş. (2010). Sosyal Bilimler için Veri Analizi Elkitabı .Ankara: PegemA Yayıncılık.  Runyon ve ark. (1996). Fundementals of behavioral statistics. New York: McGraw-Hill Comp. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 7 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Describes teaching strategies, methods and techniques at the level of expertise based on his/her undergraduate proficiency. 0 2 Defines scientific research and analysis methods used in social sciences. 5 3 Explains Elementary Education and its basic principles. 0 4 Explains the theories of development and learning theories within the scope of primary education. 0 5 Explains the interdisiplinary interaction in the field. 0 6 Explains the information in elementary education subject areas (Social Studies, Turkish, Science, Mathematics, etc.) at the level of expertise. 3 7 Relates information in the primary education field with the information in other fields. 1 8 Describes the theoretical and practical information in the field at a level of expertise. 3 9 Criticizes the applications in the elementary education field at national and international levels. 0 10 Plans and executes scientific research. 5 11 Applies teaching methods and techniques based on his/her knowledge obtained at undergraduate level. 0 12 Manages a study requiring expertise in the field independently. 4 13 Works in a team or leads the team in the situations that require solving field-related problems. 4 14 Questions scientific and social issues from new perspectives. 0 15 Conducts studies in the field within the framework of lifelong learning. 0 16 Follows the technological developments. 1 17 By supporting it with qualitative and quantitative data, student presents a scientific work carried out in the field of elementary education in a written, oral or visual way to people who are experts or not experts in the field. 5 18 Uses information and communication technologies effectively. 0 19 Uses the languages in European portfolio at a level which enables him/her to understand the information related to the field and to carry out written and oral communication. 0 20 Considers the social, scientific, cultural and ethical values while carrying out a scientific research or project or interpreting a study in the field. 3 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 10 3 30 Assesment Related Works     Homeworks, Projects, Others 7 5 35     Mid-term Exams (Written, Oral, etc.) 1 15 15     Final Exam 1 20 20 Total Workload: 142 Total Workload / 25 (h): 5.68 ECTS Credit: 6