STATISTICAL COMPUTER APPLICATIONS FOR SOCIAL SCIENCES

Course Description

Entering the data collected to the computer, organizing and getting data ready for statistical analyses; normal distribution and sampling distribution of the mean; establishing confidence intervals; writing research questions, research hypotheses, null hypotheses; hypothesis testing. Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, peak, percentile and quartile); measures of variability (distribution width, variance, standard deviation); display of data. Inferential statistics: t-test applications (single-sample t-test, independent samples t-test, dependent samples t-test), analysis of variance applications (one-way ANOVA, two-way ANOVA, MANOVA, ANCOVA); correlations (Pearson and Spearman correlation coefficients), partial correlation; multiple linear regression; exploratory and confirmatory factor analyses; reliability; non-parametric tests (Wilcoxon signed rank test, Mann-Whitney U test, Kruskal-Wallis test, Chi-Square tests); interpreting and writing results of analyses.

STATISTICAL COMPUTER APPLICATIONS FOR SOCIAL SCIENCES

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 have a knowledge of basic concepts and terms related to descriptive and inferential statistics; be able to enter data collected to the computer, organize and get data ready for statistical analyses.
2. 02 comprehend normal distribution and sampling distribution of the mean and be able to establish confidence intervals; be able to write research questions, research hypotheses, null hypotheses; and comprehend hypothesis testing.
3. 03 be able to compute measures of central tendency and position measurements (arithmetic mean, median, mode, percentile and quartile) and measures of variability (range, variance, standard deviation) by using SPSS; be able to display data and edit graphs and charts by using SPSS.
4. 04 be able to use t-test applications on SPSS and conduct one-sample t-test, independent samples t-test and paired samples t-test.
5. 05 be able to use Analysis of Variance applications on SPSS and conduct one-way ANOVA, two-way ANOVA and ANCOVA.
6. 06 be able to plot scatter dot diagram and compute Pearson and Spearman correlation coefficients; be able to conduct multiple linear regression analysis and build models.
7. 07 be able to conduct exploratory factor analysis and reliability analyses.
8. 08 be able to conduct non-parametric tests (Wilcoxon signed rank test, Mann-Whitney U test, Kruskal-Wallis test, Chi-Square tests)
9. 09 be able to interpret and write results of analyses.
10. 10 value statistics as a vital component of doing quantitative research.

Course Syllabus

Reference Books & Course Materials

1. 01 Green, S. B., Salkind, N. J. (2014). Using SPSS For Windows And Macintosh -7TH Edition. Boston: Pearson.
2. 02 Elzey, F. F. (1985). Elementary Statistical Techniques. California: Brooks/Cole.
3. 03 Coursepack prepared by the instructor.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. P01 PO1 Become competent in searching and comprehending the relevant academic articles, interpreting the information learnt or obtained via various channels and absorbing exceptional knowledge in their field.
2. P02 PO2 Devoted themselves to be a qualified researcher and knowledge worker in their field all throughout their life and career.
3. P03 PO3 Demonstrated that they developed their individual capabilities through written projects, assignments and presentations that they will independently implement both in academia and work contexts.
4. P04 PO4 Gained key practical skills and knowledge which need to be implemented in their own research and business work environment.
5. P05 PO5 Been able to implement critical and analytical thinking and analyses into their studies, research and work.
6. P06 PO6 Become proficient in adopting the gained knowledge into practice and research in a critical, and analytical way.
7. P07 PO7 Become experts in using information technology tools for their studies, research and workplace in an ethical and safely environment by sharing and transferring their knowledge.
8. P08 PO8 Succeeded in working, researching and forming partnerships with their colleagues/team members in a global environment.
9. P09 PO9 Proved themselves capable of disseminating and sharing knowledge, sustainingly communicating with others, in any global workplace or research setting.
10. P10 PO10 Become capable of interpreting and transferring their qualified knowledge into practice and research.
11. P11 PO11 Dedicated themselves to applying advanced academic studies and enrolled themselves in work or non-work projects related to environmental approaches and ethical issues.

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