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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EYD 5549 STATISTICS AND COMPUTER APPLICATIONS IN EDUCATIONAL ELECTIVE 3 0 0 7

Offered By

Educational Administration and Supervision Non-Thesis

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ALI AKSU

Offered to

Educational Administration and Supervision Non-Thesis

Course Objective

In this course students are in the process, the basic statistical concepts and techniques of scientific research achievements will receive the recognition and use.

Learning Outcomes of the Course Unit

1   Basic statistical information. 2   Recognize and use of statistical measures 3   To understand the link between scientific research and statistical process. 4   Scientific research related to the sampling process, the universe and understand the data collection processes. 5   Scientific research in the process of choosing appropriate statistical analysis techniques. 6   Application of statistical techniques in the process of scientific research. 7   In the process of statistical analysis to interpret the findings. 8   To use statistical package programs

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Statistics and Research: Basic Concepts (variable, population, sample, etc.) 2 The scale types and characteristics. 3 Statistical Measures: Measures of Accumulation (mean, mode, median) usage. 4 Statistical Measures: Measures of dispersion (sd, range, quartile deviation, The standard normal distribution, standard scores. 5 Statistical Measures: Relationship Dimensions (the types of correlation) 6 Validity and reliability of the scales: Exploratory Factor Analysis, Alpha reliability. 7 Mid-term exam 8 Computer use and applications of statistics: SPSS (data entry, program, operating system) 9 Computer use and applications of statistics: TAP (data entry, program, operating system) 10 Differences Between Means Testing: T-Tests 11 Differences Between Means Testing: F Tests 12 Differences Between Means Testing: Post-Hoc Multiple Comparison Tests 13 Nonparametric Tests: Chi-square, U, KR, and Wilcoxson Tests 14 SPSS Package Program operation and reporting of results. TAP Package Program operation and reporting of results. 15 Final exam

Recomended or Required Reading

1. Büyüköztürk, Ş.; Ö. Ç. Bökeoğlu; N. Köklü (2009) Sosyal Bilimler Için Istatistik, Ankara: Pegem Akademi. 2. Büyüköztürk, Ş. (2010) Sosyal Bilimler Için Veri Analizi El Kitabı, Ankara: Pegem Akademi.

Planned Learning Activities and Teaching Methods

Discussion, group work, lecture, question-answer, cooperative learning techniques

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTEG MIDTERM GRADE 2 FCG FINAL COURSE GRADE 3 FCG FINAL COURSE GRADE MTEG * 0.40 + FCG * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yasar.yavuz@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparation for final exam 1 20 20 Preparation for midterm exam 13 4 52 Preparations before/after weekly lectures 1 20 20 Preparation for quiz etc. 1 15 15 Preparing assignments 1 20 20 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 172

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 LO.1 5 3 5 LO.2 5 3 3 3 3 3 5 LO.3 5 1 1 1 5 LO.4 5 1 1 1 5 5 LO.5 5 1 1 5 5 5 LO.6 5 5 5 5 5 3 5 LO.7 5 5 5 3 3 3 3 5 LO.8 5 5 3 3 3 3 3 5