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TR

DATA ANALYSIS-II

Course
STAT208 - DATA ANALYSIS-II
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
5
T+P+L
2 + 0 + 2
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

This course is the continuation of STAT207 where students established the necessary preliminary foundation on anayzing several type of psychological research problems. Students will learn how to generate research questions, decide the type of analysis for certain type of research problems and analyze data using SPSS and write the report of the results in APA style. Students will learn to use SPSS for several hypothesis testing problems such as the difference of two independent samples means, one sample t-tests, the difference of means of two related samples within the frame of several subfield of psychology. Hypothesis testing for the difference of means of more than two samples, One-way ANOVA, two-way ANOVA and Ki-square will be studied with using SPSS.

DATA ANALYSIS-II

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 They calculate the descriptive statistics of data sets in SPSS. 2
  2. 02 They summarize the data sets by using graphs in SPSS 4
  3. 03 They identfy the research problems by using hypotheses 2
  4. 04 They can apply proper t tests for comparing two population means based on given research problems in SPSS. 4
  5. 05 They can appraise and apply the variance analysis for comparing group means more than two in SPSS 4

Course Syllabus

Week Topic
Week 1 Introduction to the course; basic concepts and terms related to descriptive and inferential statistics.
Week 2 writing research questions, research hypotheses, null hypotheses; hypothesis testing.
Week 3 Standard error and confidence interval
Week 4 Applications of standard error and confidence intervals, presenting them using plots in SPSS
Week 5 Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test)
Week 6 Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test)
Week 7 Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test)
Week 8 Mixed applications of t-tests in SPSS
Week 9 Midterm Exams
Week 10 Variance Analysis (one-way ANOVA) and post-hoc tests
Week 11 Analysis of variance applications
Week 12 Two-way variance analysis
Week 13 Applications of Two-way variance analysis
Week 14 Nonparametric Tests
Week 15 Final Exams

Reference Books & Course Materials

  1. 01 Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics, 5th Edition, Sage.
  2. 02 Green, S. B., Salkind, N. J. (2014). Using SPSS For Windows And Macintosh -7TH Edition. Boston: Pearson.
  3. 03 Elzey, F. F. (1985). Elementary Statistical Techniques. California: Brooks/Cole.
  4. 04 Coursepack prepared by the instructor.

Learning Outcomes

  1. L01 They analyse the descriptive statistics of psychological data sets in SPSS. SOLO 4
  2. L02 They can differentiate the difference between parametric tests and nonparametric tests in SPSS SOLO 4
  3. L03 They can apply proper t tests for comparing two population means based on given research problems in SPSS. SOLO 4
  4. L04 They can appraise and apply the variance analysis for comparing group means more than two in SPSS SOLO 4

Program Outcomes

  1. P01 Demonstrate an understanding of the core subfields of psychology — including but not limited to clinical, developmental, cognitive, social, and biological/neuroscientific psychology — and their interconnections with other scientific disciplines, critically evaluating the value of a multidisciplinary approach to scientific inquiry in psychology.
  2. P02 Apply scientific methods, research techniques, measurement and psychometric principles (e.g., reliability, validity, scale development/adaptation), and quantitative/statistical reasoning to investigate psychological phenomena, recognizing methodological strengths, limitations, common reasoning fallacies, and the flaws of pseudoscience.
  3. P03 Employ logical, intuitive, and creative thinking to analyze psychological concepts, evaluate theories (including their historical and philosophical development), synthesize information, and solve complex problems related to cognition and behavior.
  4. P04 Integrate psychological theories and findings into practical settings (e.g., business, policy, clinical/counseling contexts, and daily life), applying foundational applied skills such as interviewing, observation, and case formulation, drawing meaningful conclusions to inform individual, organizational, and societal practices.
  5. P05 Describe key ethical principles in psychological research and practice, critically applying these principles to dilemmas across academic, professional, and everyday contexts.
  6. P06 Recognize how individual differences (e.g., beliefs, values, backgrounds) impact behavior and relationships; use psychological knowledge to prevent or resolve intercultural and interpersonal conflicts and promote inclusive, respectful interactions.
  7. P07 Exhibit self-regulation and self-awareness, demonstrating a commitment to psychological well-being, effective time management, constructive incorporation of feedback, and ongoing personal and professional development.
  8. P08 Collaborate effectively in diverse teams, demonstrating responsibility, bias awareness, conflict resolution skills, and leadership in achieving collective goals.
  9. P09 Communicate psychological knowledge clearly and appropriately for academic, professional, and public audiences using inclusive language, both in written and oral formats, and by accurately summarizing and presenting research findings.
  10. P10 Use information and communication technologies (including AI and digital media) responsibly and effectively for research, collaboration, and the dissemination of psychological knowledge.
  11. P11 Embrace lifelong learning and adaptability in response to evolving psychological knowledge and societal needs, engaging with global perspectives and demonstrating intercultural awareness.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 Average
L01 0 5 5 5 5 5 5 5 0 0 5 3.64
L02 5 5 5 5 5 3 3 5 4 5 5 4.55
L03 5 5 5 5 5 5 5 4 4 4 5 4.73
L04 5 5 5 5 5 4 4 4 3 5 5 4.55