Information Package / Course Catalogue
Methods of Statistical Analysis in Landscape Architecture
Course Code: ZPM528
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The purposes of this course are to provide information about quantitative, qualitative and mixed method procedures, evaluation of data collected in the research, identification of basic statistical methods, determination of appropriate statistical method (s) for the collected data, using SPSS statistical program, classifying, analyzing and interpreting the results of the analysis, and gaining the ability to examine a research article statistically.

Course Content

The contents of this course are basic statistical concepts, variables, descriptive statistics, table and graphic editing in computer environment, introduction to SPSS program menus and data entry, parametric tests and its application in SPSS program, nonparametric tests and its application in SPSS program, correlation analysis and its application in SPSS program, Z-Test and T-Test, ANOVA and Regression analyses.

Name of Lecturer(s)
Learning Outcomes
1.To learn quantitative, qualitative and mixed method.
2.Learning to evaluate the data collected in the research,
3.To be able to determine appropriate statistics method for data,
4.To learn statistical analysis methods (T-Test, Chi-Square, Correlation, ANOVA, Regression) and to interpret the results
5.To gain the ability to examine a research article statistically
6.Learning to use the SPSS program
Recommended or Required Reading
1.Creswell, J.W. (2009) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications, Los Angeles.
2.Creswell, J.W. (2008) Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. PEARSON Merrill Prentice Hall, New Jersey.
3.Holcomb, Z.C. (2009) SPSS Basics: Techniques for a First Course in Statistics. Pyrczak Publishing. California.
4.Kalaycı, Ş. (2010) SPSS Applied Multivariate Statistical Techniques. Asil broadcasting Distribution Ltd. Sti. Ankara.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to course: content, reason, importance, process method and needs
Week 2 - Theoretical
Quantitative, qualitative and mixed methods
Week 3 - Theoretical
Variables: Categorical (Nominal and Ordinal), Scale (Interval and Ratio). SPSS Application (Entering a series of data to SPSS programs, learning the difference between numeric data and string data, learning variable view and data view)
Week 4 - Theoretical
Frequency distribution, Descriptive Charts and Tables: Tables (one-way, two-way, multi-directional), Graphics (histogram, line, pie, bar, relationship chart, etc.) SPSS application
Week 5 - Theoretical
Descriptive statistics: 1) Central tendency measures (Arithmetic mean, median, mode), Mean Deviation (Variance, Standard deviation) Normality Standard deviation (Single, double or multivariate normal distribution, and skewness), defining independent and dependent variables. SPSS application
Week 6 - Theoretical
Z-Scores, scatterdgram and determination of hypotheses (null hypothesis alternative hypothesis), single and double tailed tests, Type I and Type II error, level of significance. SPSS application
Week 7 - Theoretical
Correlation Analysis (Pearson r and Spearman's rho). SPSS application
Week 8 - Theoretical
Midterm exam
Week 9 - Theoretical
T-Test: One Sample T-Test, Paired-Samples T-Test and Independent-Samples T-Test. SPSS application
Week 10 - Theoretical
Chi-Square Test
Week 11 - Theoretical
ANOVA: One-Way ANOVA, Two-Way ANOVA. SPSS Application
Week 12 - Theoretical
Simple Linear Regression and Multilevel Linear Regression Analysis. SPSS application
Week 13 - Theoretical
Case study works
Week 14 - Theoretical
Student works
Week 15 - Theoretical
Student works
Week 16 - Theoretical
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%40
Assignment2%30
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory14102168
Assignment24110
Midterm Examination19110
Final Examination111112
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
5
4
OÇ-2
5
4
OÇ-3
5
OÇ-4
5
OÇ-5
4
OÇ-6
5
Adnan Menderes University - Information Package / Course Catalogue