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TR

STATISTICAL COMPUTER APPLICATIONS FOR SOCIAL SCIENCES

Course
STAT602 - STATISTICAL COMPUTER APPLICATIONS FOR SOCIAL SCIENCES
Department
Institute of Graduate Studies and Research
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords
-

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

Week Topic
Week 1 Introduction to the course; basic concepts and terms related to basic statistics.
Week 2 Entering data collected to the computer, organizing and getting data ready for statistical analyses.
Week 3 Using select cases and filter menus in SPSS
Week 4 Frequency Distribution and visualization of the data set in SPSS
Week 5 Statistical Graphs, Detecting outliers and extreme values
Week 6 Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, mode, percentile and quartile)
Week 7 Descriptive statistics: measures of variability (range, variance, standard deviation); display of data.
Week 8 Use of the explore menu
Week 9 Parametric tests and the assumptions of parametric tests
Week 10 One Sample t-test and Independent sample t-test
Week 11 Paired sample t-test
Week 12 One-way variance analysis and post-hoc tests
Week 13 Presentation of projects
Week 14 Presentation of projects
Week 15 Presentation of projects

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 Develops and deepens the current and advanced knowledge in the field based on the qualifications of the master's degree at the level of research and expertise and reaches original definitions that will bring innovation to the field.
  2. P02 To have the most advanced knowledge to contribute to the field of Tourism Management
  3. P03 Comprehends the interdisciplinary interaction related to the field of Tourism Management; draws original conclusions by using knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas.
  4. P04 Has the ability to interpret, analyze, identify problems and propose solutions by using the knowledge acquired in the field in decisions, practices and behaviors.
  5. P05 Has the ability to transfer information about Tourism Management to peers.
  6. P06 Performs a study independently on subjects requiring expertise in the field of Tourism Management.
  7. P07 Takes responsibility in accordance with the objectives of the project as the project director or participant.
  8. P08 Determines vision, aim and target for organization / institution.
  9. P09 Evaluates the acquired knowledge and skills critically.
  10. P10 To be able to lead by considering cultural sensitivities.
  11. P11 Develops new ideas and procedures, including research in the field of profession and learning.
  12. P12 Willingness to seek innovation
  13. P13 Transfers his / her thoughts and suggestions in writing and orally at the level of knowledge and skills acquired in the field of Tourism Management
  14. P14 Communicates with those who work in the field of Tourism Management.
  15. P15 Has enough awareness about the universality of social rights, social justice, quality and cultural values, environmental protection, occupational health and safety.
  16. P16 Communicates verbally and in writing using at least the European Language Portfolio C1 General Level approved by YÖDAK.
  17. P17 Uses computer software, information and communication technologies at the level of data entry and analysis related to Tourism Management.
  18. P18 Provides originality and contribution to the studies to be conducted in the field of Tourism Management.
  19. P19 Make strategic plan and develop strategy for organization / institution.
  20. P20 92/5000 Acts and internalizes business and social ethical values in the Academy and the Professional work
  21. P21 Publishes at least one scientific article related to the field of Tourism Management in national / international refereed journals (SSCI indexed).
  22. P22 Able to perform an original work that brings innovation to the field of Tourism Management independently.
  23. P23 Able to systematically transfer and disseminate his / her original studies related to tourism management in written / oral / visual form by supporting with quantitative / qualitative data.

Po-Lo Matrix

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