# COURSE UNIT TITLE

: STATISTICS AND COMPUTER APPLICATIONS IN EDUCATIONAL

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EYD 5563 STATISTICS AND COMPUTER APPLICATIONS IN EDUCATIONAL ELECTIVE 3 0 0 10

#### Offered By

Educational Administration and Supervision Non-Thesis

#### Level of Course Unit

Second Cycle Programmes (Master's Degree)

#### Course Coordinator

PROFESSOR DOCTOR 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

Face -to- Face

None

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 MTE MIDTERM EXAM 2 FINS FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.40 + FINS * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

None

To be announced.

Turkish

To be announced.

#### Contact Details for the Lecturer(s)

yasar.yavuz@deu.edu.tr

To be announced.

None

#### Workload Calculation

 Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparation for final exam 1 30 30 Preparation for midterm exam 13 7 91 Preparations before/after weekly lectures 1 30 30 Preparation for quiz etc. 1 30 30 Preparing assignments 1 30 30 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 256

#### Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.154443555
LO.245445445
LO.355543355
LO.454555454
LO.554445544
LO.654433533
LO.753443454
LO.855535554