Information
Code | PDR705 |
Name | Educational Statistics with Application of SPSS |
Term | 2023-2024 Academic Year |
Term | Fall and Spring |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Yüksek Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Dr. Öğr. Üyesi SABAHATTİN ÇAM |
Course Instructor |
1 |
Course Goal / Objective
The main purpose of this course is to enable the students to gain knowledge, skills and attitudes regarding scientific research techniques.
Course Content
The course includes the basic statistical concepts and parametric and nonparametric techniques used in social sciences.
Course Precondition
None.
Resources
Büyüköztürk, Ş. (2002). Sosyal Bilimler İçin Veri Analiz Elkitabı, (1. Baskı), Ankara: Pegem A Yayıncılık.
Notes
Büyüköztürk, Ş. (2002). Sosyal Bilimler İçin Veri Analiz Elkitabı, (1. Baskı), Ankara: Pegem A Yayıncılık.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Defines descriptive statistics. |
LO02 | Explains what statistical assumption is. |
LO03 | Explains the basic concepts related to educational statistics |
LO04 | Comprehends the place and importance of statistics in the research process |
LO05 | Explains the difference between qualitative and quantitative research |
LO06 | Recognizes the fundamental statistical techniques used in educational studies |
LO07 | Determines the suitable statistical techniques for the research problems |
LO08 | Computerizes the data. |
LO09 | Makes intended statistical analysis from the processed data |
LO10 | Presents the statistical analysis results with graphs or tables in line with research objectives |
LO11 | Makes commenst on the statistical analysis results |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | On the basis of the Educational Sciences BA degree qualificatons, improves his/her knowledge in the same field at the level of expertise. | |
PLO02 | Bilgi - Kuramsal, Olgusal | Understands the multi-dimensional causes of a problem and evaluates the problem as a whole | |
PLO03 | Bilgi - Kuramsal, Olgusal | Analyzes a scientific article in the field of educational sciences. | 4 |
PLO04 | Bilgi - Kuramsal, Olgusal | Uses the theoretical and practical knowledge s/he gained at the level of expertise in the field of educational sciences. | |
PLO05 | Bilgi - Kuramsal, Olgusal | Uses and develops individual assessment techniques. | 2 |
PLO06 | Bilgi - Kuramsal, Olgusal | Solves a problem in the context of educational sciences in a scientific perspective. | 5 |
PLO07 | Bilgi - Kuramsal, Olgusal | Guides the graduates of the field of educational sciencies within the framework of the knowledge and experiences that specialized training provides. | 2 |
PLO08 | Bilgi - Kuramsal, Olgusal | Gains knowledge and experience about the appliations which can make the field of expertise functional in educational field. | |
PLO09 | Beceriler - Bilişsel, Uygulamalı | Integrates the theoretical knowledge within the scope of the field of educational sciences with the field of application. | |
PLO10 | Beceriler - Bilişsel, Uygulamalı | Takes responsibility for solving the problems at the local and national level during the educational science-oriented applications. | |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Communicates effectively and properly with students, teachers, school administrators, and members of families and working group. | |
PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Has a good command of foreign language to be able to follow the foreign resources related to the field. | 4 |
PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Informs his/her colleagues about the processes regarding the field of expertise and conclusions reached. | 5 |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Uses the different statistical techniques and information and communication technologies that s/he needs in the field of expertise. | |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Provides the support of the institution employees to make the applications concerning educational sciences successful. | |
PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Identifies the sources of the problems in the field of educational sciences and contributes to the solution of these problems. | |
PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Provides the cooperation of all partners in educational environment stating the necessity of the field of expertise. | |
PLO18 | Yetkinlikler - Öğrenme Yetkinliği | Assesses the necessities which reveal through the applications related to the field of expertise in a critical way. | |
PLO19 | Yetkinlikler - Öğrenme Yetkinliği | Develops internalized knowledge in the field of expertise and the related disciplines at the level of expertise. | |
PLO20 | Yetkinlikler - Öğrenme Yetkinliği | Makes prediction about the partner behaviors through the applications concerning the field of expertise. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction and Presentation of the lesson | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
2 | Basic Concepts Place of statistics in the research process Variable, measurement, scale, data and statistical concepts | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
3 | Introduction to SPSS Creation of data file in SPSS | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
4 | Descriptive statistics Frequency distribution Calculation and presentation of frequency distribution in table Calculation of the frequency distribution with graph | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
5 | Measures of central tendency and variability Measures of central tendency Mean Median Mode Variability measures | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
6 | Procedural statistics Universe estimation of the value Normal distribution curve Hypothesis testing | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
7 | Analysis of the differences T Test Independent Samples T Test | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
9 | Paired Samples T Test | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
10 | Analysis of Variance One Way Anova | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
11 | Analysis of variance for repeated measures | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
12 | Analysis of covariance | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
13 | Analysis of covariance | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
14 | Chi-Square | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
15 | Analysis of relationships | Analyzing different samples by examining related sources | Öğretim Yöntemleri: Anlatım, Tartışma |
16 | Term Exams | Ölçme Yöntemleri: Ödev |
|
17 | Term Exams | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 157 | ||
Total Workload / 25 (h) | 6,28 | ||
ECTS | 6 ECTS |