Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
BASIC ANALYSIS TECHNIQUES YNO 506 0 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Yüksek Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Dersi Verenler Dersin Yardımcıları Research Assistant Buket BORA Dersin Kategorisi Dersin Amacı Its necessity, accurately analyzing data and interpret the results and evaluations of the examined case which is very important, scientific research stage. Addition to this, businesses are facing many problems and the solutions are waiting to be solved. Mostly, results of the analyzed data, problems can be solved. This lesson aim is to have students skills of getting the data correctly about examined case, and filterating them to be analyzed and using SPSS (Statistical Packages for the Social Sciences) with the suitable technique which is due to the aim and analyze the data and interpreting it. The student who take this lesson, have sufficiency of solving the examined phenomenon like a researcher or academician. Dersin İçeriği This lesson consists of, the concept of data and identify the data, choosing statistical analyses according to the research aim and in this context, descriptive statistics, tests of comparing two and more groups non-parametric tests correlation and regression analyses, factor analyses, cluster analyses which are multivariable statistical analyses.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Recognizes data properties obtained from research 1 - 2 - A - C - 2 - An appropriate data collection tool is able to be composed in the resarch case. 1 - 4 - A - C - 3 - Best fit data can be prepared in the research case 1 - 4 - A - C - 4 - For propose and data properties, learner identifies most apropriate analysis technic for the research 1 - 4 - A - C - 5 - An appropriate analysis technic can be analysed for available data with SPSS 1 - 4 - A - C - 6 - Result of analysis can be interpreted and judged 1 - 4 - A - C -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice Ölçme Yöntemleri: A:Testing C:Homework

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 The concept of data and attainmet data techniques
2 Choosing statistical technique for data analyses
3 Introduction to SPSS Package Programme
4 Data processes in SPSS
5 Data processes in SPSS
6 Descriptive Statistis
7 Test for comparing two groups
8 Variace Analyses
9 Midterm Exam
10 Non Parametric Tests
11 Non Parametric Tests
12 Linear Regression and Correlation Analyses
13 Factor Analyses
14 Cluster Analyses

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 40
Odev 1 60
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

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