At the end of this course, the students; 1) Know the basic concepts in Statistics 2) Understand the concept of the different methods. 3) Comprehend the importance of the hypothesis testing. 4) Based on the research aim, determine and apply the appropriate statistical analysis techniques and interpret correctly the results of these analyses.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Presentation of SPSS package program, descriptive statistics, hypothesis testing, linear correlation techniques, simple and multiple linear regression analysis, t-test, analysis of variance, non parametric statistics (Chi-square test, Mann Whitney U test, Kruskal Wallis test, Wilcoxon test), statistical analysis for psychological test construction.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Basic concepts in statistics (population, sample, variables and types)
2nd Week
Organizations of data (Frequency distributions and tables, graphics of data)Central tendency measures (mean, median, mode, percentiles) SPSS Practices Attributions of the distributions (positive and negative skewness)
3rd Week
Variability Measures ( standart deviations, variance etc in unclassified data )Normal distribution, standart scores (z and t scores) SPSS Practices
Inferential statistics : (a) Estimation of population parameters, (b) Hypothesis testing.Estimation of population parameters Central Limit Teorem, sampling distrubution, concept of standart error Confidence interval, z and t distrubutions and concept of degrees of fredoom
8th Week
Mid-term Exam
9th Week
Concept of hypothesis, types of hypothesis Hypothesis testing.Accept areas of one -tailed and two-tailed hypothesis Error types which made in hypothesis testing (Type I error and Type II error)
10th Week
Comparison of a sample mean with the population mean: z and t test Comparision of two samples' means: dependent and independent samples Standart error of difference Comparison of two independent samples' means: Independent sample t test SPSS Practices
11th Week
Comparison of two dependent samples: one sample t test , direct-difference method
12th Week
One way Anova-SPSS Practices
13th Week
Non-Parametric Tests: X2 test (fit test and independency test)---SPSS Practices
14th Week
Non-Parametric Tests: Man-Whitney U test, Kruskall Wallis H test
RECOMENDED OR REQUIRED READING
Baykul, Y. (2000). Eğitimde ve psikolojide ölçme. Ankara: ÖSYM Yayınları. Büyüköztürk, Ş. (2002). Sosyal Bilimler İçin Veri Analizi El Kitabı İstatistik, Araştırma Deseni -SPSS Uygulamaları ve Yorum. Ankara: Pegem Yayıncılık. Karasar, N. (2000). Bilimsel araştırma yöntemi. (10. Basım).Nobel Yayın Dağıtım: Ankara. Özdamar, K. (2002). Paket Programlar İle İstatistiksel Veri Analizi (Çok Değişkenli Analizler). Eskişehir: Kaan Kitabevi.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers,Problem Solving,Other
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Other
1
10
Total(%)
40
Contribution of In-term Studies to Overall Grade(%)
40
Contribution of Final Examination to Overall Grade(%)
60
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
12
12
Preparation for Quiz
Individual or group work
10
2
20
Preparation for Final exam
1
20
20
Course hours
14
1
14
Preparation for Midterm exam
1
20
20
Laboratory (including preparation)
14
2
28
Final exam
1
15
15
Homework
10
4
40
Total Workload
169
Total Workload / 30
5,63
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
