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Course Description Course Name : Applied Educational Statistics Course Code : OÖ 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 fundamental statistical techniques used in educational studies Determines the suitable statistical techniques for the research problems Computerizes the data. Does the required statistical analysis from the processed data Presents the statistical analysis results in relation with the research objectives using graphic or table Makes comment on the statistical analysis results 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 help post-graduate students to acquire the skills and knowledge to use statistical methods in their research and, by developing literacy in this field, to help them interpret those studies which use statistical methods. Course Contents : The course contains basic concepts of statistics applied to education and application of parametric and nonparametric techniques used in social sciences. These techniques are taught by using SPSS statistical software. 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 of the 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 statistical concepts Examining of the different samples by doing research from related sources Expository teaching strategies, discussion 3 Introduction to SPSS, creation of data file in SPSS Examining of the 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 of the different samples by doing research from related sources. Homework 1 Expository teaching strategies, discussion 5 Measures of central tendency and variability, measures of central tendency, mean, median, mode, variability measures Examining of the 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 of the different samples by doing research from related sources Expository teaching strategies, discussion 7 Analysis of the differences, T Test, Independent Samples T Test Examining of the different samples by doing research from related sources. Homework 3 Expository teaching strategies, discussion 8 Midterm exam Preparation for the exam Written exam 9 Paired Samples T Test Examining of the different samples by doing research from related sources. Homework 4 Expository teaching strategies, discussion 10 Analysis of Variance, One Way Anova Examining of the different samples by doing research from related sources. Homework 5 Expository teaching strategies, discussion 11 Analysis of variance for repeated measures Examining of the different samples by doing research from related sources. Homework 6 Expository teaching strategies, discussion 12 Analysis of covariance Examining of the different samples by doing research from related sources. Homework 7 Expository teaching strategies, discussion 13 Analysis of covariance Examining of the different samples by doing research from related sources Expository teaching strategies, discussion 14 Chi-Square Examining of the different samples by doing research from related sources. Homework 8 Expository teaching strategies, discussion 15 Analysis of Relationships Examining of the 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)   Baykul, Y. (1996). İstatistik: Metodlar ve uygulamalar. Ankara: Lazer Ofset   Özdamar, K. (2004). Paket programlar ile istatistiksel veri analizi I. Eskişehir: Kaan Kitabevi.  Williams, F. (1992). Reasoning with statistics: How to read quantitative research. Fort Worth Philadelphia: Harcaurt Brace Javanovich College Publishers  Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni SPSS uygulamaları ve yorum. Ankara: PegemA Yayıncılık 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 3 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 Relates knowledge in the field of early childhood education to the knowledge in other fields. 1 2 Explains the theoretical and applied knowledge in the field of study at expert level. 0 3 Plans and executes a scientific research study. 4 4 Acts in accordance with the social, scientific, cultural and ethical standards when conducting a scientific research or concluding projects. 0 5 Describes and defines different scientific research methods and analyses used in social sciences. 5 6 Independently executes a study that requires expertise in his/her field. 3 7 Questions and inquires into the social and scientific topics in a critical manner and is open to new perspectives. 1 8 Presents a research study that s/he conducted in the field of early childhood education to a group of experts or non-experts orally, visually or in writing, 4 9 Thoroughly explains the educational and developmental issues related to early childhood education. 0 10 Defines, describes and explains teaching strategies, methods and techniques. 0 11 Explains the interactions among different disciplines related to her/his field of study. 0 12 Critically reviews and reflects on the national and international approaches to early childhood education. 2 13 Applies different teaching strategies, methods and techniques. 0 14 Works in a team and/or acts as a leader to solve problems in her/his field. 2 15 Executes studies in her/his field of study in accordance with the life long learning perspective. 0 16 Is sensitive to and follows the social and technological developments. 0 17 Utilizes the information and communication technologies effectively. 0 18 Proficiently uses one of the languages in the European Language Portfolio at the level that enables her/him understand the knowledge base related to her/his field of study, communicate orally and verbally. 0 * 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) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 3 10 30     Mid-term Exams (Written, Oral, etc.) 1 15 15     Final Exam 1 15 15 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6