Anadolu Info Package Anadolu Info Package
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Graduate School
  • Department of Special Education
  • Doctorate Degree (Ph.D)
  • Program in Education of Gifted Education
  • Course Structure Diagram with Credits
  • Advanced Quantitative Research Methods
  • Learning Outcomes
  • Description
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  • Learning Outcomes
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  • Course's Contribution to Prog.
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  • 1. will be able to recall the basics of research methods
  • recalls the fundamentals of scientific knowledge.
  • tells the nature of scientific inquiry, scientific methodology and different views on scientific methods.
  • recalls the basics of research model, population and sample, data collection, qualitative and quantitative research.
  • 2. will be able to type in data and conduct preliminary analyses.
  • recognizes the data view and variable view in SPSS.
  • types in the data of a previously conducted research.
  • calculates and interprets basic descriptives including percentage, frequency, mean, standard deviation, median, skewness, kurtosis, normal distribution, etc.
  • differentiate between parametric and non-parametric tests.
  • explains the concept of parametric test.
  • describes the assumptions of parametric tests.
  • re-states the differences between parametric and non-parametric tests.
  • decides which type is more appropriate for sample situations.
  • select and conduct relevant parametric and nonparametric tests to compare groups.
  • conducts t test to compare two groups or two measurements of a single group.
  • conducts ANOVA to compare more than two groups or more than two measurements.
  • describes the procedures when the assumptions of t test or ANOVA are not met.
  • selects and conducts relevant nonparametric tests when the precautions taken are not sufficient.
  • measure relationships among variables.
  • decides the most appropriate correlation type to determine relationships between continuous variables.
  • determines the relationships between categorical variables.
  • evaluates the magnitudes, directions and significance levels of relationships among variables.
  • conduct multivariate relationship and comparison analyses.
  • conducts multivariate analyses of variance and covariance.
  • conducts multivariate regressions.
  • evaluates multivariate structural models.

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