Advanced Quantitative Methods - EDUC 720
Fall 2014 Dr. Marita Mahoney Reflection… Dr. Mahoney began the advanced quantitative course with a brief over view of statistical concepts in general and how it relates to various types of statistical analyses such as : Linear & Multiple Regression, Discriminant Analysis, Exploratory Factor Analysis, Analysis, Logistic Regression, Exploratory Factor Analysis, and Structural Equation Modeling. I learned how to screen data and find outliers and missing data. This course gave me confidence to use explore SPSS. Data sets were provided by Dr. Mahoney to explore each analysis during class and to make sense of each type of the analysis. It really helped to practice during class on how to run an analysis using SPSS and interpret the results section. I found this course to be challenging yet rewarding because it helped me to narrow my research method to a quantitative method from a mixed research design. Initially I wanted to use a mixed method study and I learned that by using a survey, I can collect data to understand about teacher’s and program director’s perspectives of inclusive practices in preschools. I reflected on how each of the analysis could be applied to my own research. The most important aspect for me from this course was to “make sense of the data” derived data from the output tables. |
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Course Description, Course Goals/Objectives were obtained from the course syllabus
Course Description
EDUC 720: Advanced Quantitative Methods - Advanced designs and statistics commonly applied in educational research. Analysis and interpretation of data from designs using covariates (hierarchical regression), mediation and moderation effects, multilevel modeling (nested data), factor analysis, and structural equation modeling. Results writing based on selected data analyses. Prerequisites: EDUC 707, 716 and 718.
Course Goals/Objectives
By the end of the course, students will be able to:
1. Explore and screen data for purposes of basic description and assessment of statistical assumptions underlying specific quantitative analyses.
2. Create data illustrations/graphs appropriate for both descriptive and inferential purposes.
3. Select the appropriate statistical test given the hypothesis and the nature and number of variables involved.
4. Conduct, interpret, and report the results of statistical analyses addressed in this class.
5. Use SPSS and EQS statistical software to conduct analyses specific to objectives 1-4.
6. Derive and report logical conclusions concerning the import of results to theory and practice
Course Description
EDUC 720: Advanced Quantitative Methods - Advanced designs and statistics commonly applied in educational research. Analysis and interpretation of data from designs using covariates (hierarchical regression), mediation and moderation effects, multilevel modeling (nested data), factor analysis, and structural equation modeling. Results writing based on selected data analyses. Prerequisites: EDUC 707, 716 and 718.
Course Goals/Objectives
By the end of the course, students will be able to:
1. Explore and screen data for purposes of basic description and assessment of statistical assumptions underlying specific quantitative analyses.
2. Create data illustrations/graphs appropriate for both descriptive and inferential purposes.
3. Select the appropriate statistical test given the hypothesis and the nature and number of variables involved.
4. Conduct, interpret, and report the results of statistical analyses addressed in this class.
5. Use SPSS and EQS statistical software to conduct analyses specific to objectives 1-4.
6. Derive and report logical conclusions concerning the import of results to theory and practice