Multivariate Statistics
Dr. Elsa-Sofia Morote
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H. G. Wells (predicted a century ago, now this day has arrived).
The purpose of this course is to provide doctoral students with an introduction to various research methods, and their corresponding data analysis/statistical procedures, used for conducting empirical research in education and procedures used for conducting empirical research in education and social sciences. These methods include experimental and quasi-experimental designs, bivariate and multivariate correlation/regression, survey analysis or sample survey research, and historical methodology. Appropriate statistical analysis associated with each research method will be discussed and SPSS assignments included. In addition, an introduction to measurement and measurement theory will be provided with major emphasis on the techniques and procedures used in the social sciences for developing adequate instrumentation and questionnaires. This is the second course in the Quantitative methods sequence designed to help students in conducting their own research necessary for completing the dissertation. 7800-Syllabus-Fall_2016 Dr. Elsa-Sofia Morote
St. John’s University Department of Administrative and Instructional Leadership
EDU 7800 —Multivariate Data Analysis Syllabus
Fall 2016 Time & Place: Queens Campus,The Dowling FS1 0 Doctoral Cohort will be meeting at the following location for the second class beginning Friday/Saturday/Sunday ,October 14, 15, 16 and November 4,5,6 (Fri 5-9pm, Sat 8:30-4:30pm, Sun 8:30-1 pm)
Room SUL 214
Instructors: Dr. Elsa-Sofia Morote
Email: sofiamorote@gmail.com
Office Hours: by appointment Phone: (631)9491114
Graduate Bulletin Course Description Prerequisite: EDU 5655, 7211 or permission of instructor.
This course examines advanced research and statistical design approaches, including multiple and logistic regression, discriminant analysis, MANOVA, HLM, causal modeling, factor analysis, and validity and reliability assessment. Students will have hands-on use of computer technology and statistical software such as SPSS to organize and analyze data.
Credit: 3 semester hours. Accommodations for Disabilities Under the Americans with Disabilities Act and Section 504 of the Rehabilitation Act of 1973, colleges are required to provide reasonable accommodations for documented disabilities. The documentation should be on file at the Student Life Office. If students require such services, please see me by the second class of the semester.
Required Texts
Software:
Software IBM SPSS (Graduate Pack 23 or 24: Standard or Premium Version) (Available from online sources such as www.studentdiscounts.com) Cost = approximately $90.00 for a 12 month license that can be installed on two computers. You might want to share the software with one student in the class.
Course Objectives
At the completion of this course, you should be able to:
Cell phones should be placed in airplane or vibrate mode at the start of class. If you need to use your phone or text please excuse yourself and do so out in the hallway so you won’t distract your colleagues.
Three HW assignments must be completed. Due dates are posted in the calendar. Assignments involve Organizing and analyzing data using SPSS, interpreting and summarizing results in APA format, and responding to questions on assigned readings and lecture material. Assignments are not accepted more than one week after the due date.
Please note that late assignments are penalized by 15%. Extensions without penalty must be approved IN ADVANCE.
Data Analysis Project
You must develop a multivariate research proposal and research questions. Using SPSS and a data set provided by the instructors, you must conduct analyses to answer the questions and produce a written report in APA format summarizing and interpreting your results.
Academic Honesty
We cannot stress enough the importance of integrity and academic honesty in our work. Plagiarism will be penalized with course failure. Be sure to cite all your resources, give appropriate credit to others. and be proud of the work you submit.
Policies
1. Assignments must be submitted via Blackboard as MS WORD documents. 2. Late assignments receive a 15% penalty. 3. Attendance is required. 4. All quizzes and exams are open book and open notes.
5. All work must be completed by December 19, 2016 6. Any work not completed by December 19, 2016 will receive a score of 0. 7. "Incompletes" will be given only under extraordinary conditions. 8. "Extra credit" is not available.
Evaluation
2 HWS @ 10 points 20
2 Data analysis project 40
Class participation Total 20
Grading 100
95-100% A
90-94% A-
85-89% B+
80-84% B
70-79% B-
60-69% C
Below 60% F
First Weekend
Introduction
Topic
Materials
Research methods:
Selection of subjects
Design and/or procedures
Data gathering Instruments and Questionnaire
Treatment of data Statistical procedures
Variables, independent, dependent, moderating/control and intervening variableTypes of variables
http://www.indiana.edu/~educy520/sec5982/week_2/variable_types.pdf
Class Discussion
Research Problem Exercises
Basic Experimental & Quasi-experimental Designs
- Necessary conditions for true experimental designs
- Internal and external design validity
- Sources of variance, variance control
- Random assignment
1. Statistical procedures: t-test: independent means t-tests
SPSS book - One Sample t Test
SPSS book Independent Samples t Test
ANOVA: One-way, multiple range tests, Posthoc analysis
SPSS book One Way Analysis of VarianceSpss Book Two Way Analysis of Variance
CORRELATION
Article Discussion
Sunday
8:30-4.30
2. Bivariate Correlation and Regression Analysis
(Review from Quantitative Methods I)
SPSS Lesson 30. Pearsin Product-Moment Correlation Coefficient
SPSS- Lesson 32 Bivariate Linear Regressio
Second Weekend
Introduction to Multiple regression
SPSS Lesson Multiple Linear Regression
Article Discussion
Advanced Experimental Designs
� Factorial designs and interaction effects
� Repeated measures designs
� Analysis of Covariance: Statistical control
SPSS Lesson
Introduction to Measurement and Measurement Theory
SPSS lessons 36 and 37
Factor Analysis
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H. G. Wells (predicted a century ago, now this day has arrived).
The purpose of this course is to provide doctoral students with an introduction to various research methods, and their corresponding data analysis/statistical procedures, used for conducting empirical research in education and procedures used for conducting empirical research in education and social sciences. These methods include experimental and quasi-experimental designs, bivariate and multivariate correlation/regression, survey analysis or sample survey research, and historical methodology. Appropriate statistical analysis associated with each research method will be discussed and SPSS assignments included. In addition, an introduction to measurement and measurement theory will be provided with major emphasis on the techniques and procedures used in the social sciences for developing adequate instrumentation and questionnaires. This is the second course in the Quantitative methods sequence designed to help students in conducting their own research necessary for completing the dissertation. 7800-Syllabus-Fall_2016 Dr. Elsa-Sofia Morote
St. John’s University Department of Administrative and Instructional Leadership
EDU 7800 —Multivariate Data Analysis Syllabus
Fall 2016 Time & Place: Queens Campus,The Dowling FS1 0 Doctoral Cohort will be meeting at the following location for the second class beginning Friday/Saturday/Sunday ,October 14, 15, 16 and November 4,5,6 (Fri 5-9pm, Sat 8:30-4:30pm, Sun 8:30-1 pm)
Room SUL 214
Instructors: Dr. Elsa-Sofia Morote
Email: sofiamorote@gmail.com
Office Hours: by appointment Phone: (631)9491114
Graduate Bulletin Course Description Prerequisite: EDU 5655, 7211 or permission of instructor.
This course examines advanced research and statistical design approaches, including multiple and logistic regression, discriminant analysis, MANOVA, HLM, causal modeling, factor analysis, and validity and reliability assessment. Students will have hands-on use of computer technology and statistical software such as SPSS to organize and analyze data.
Credit: 3 semester hours. Accommodations for Disabilities Under the Americans with Disabilities Act and Section 504 of the Rehabilitation Act of 1973, colleges are required to provide reasonable accommodations for documented disabilities. The documentation should be on file at the Student Life Office. If students require such services, please see me by the second class of the semester.
Required Texts
- Meyers, L. S., Gamst, G. & Guarino, A.J. (2013) Applied Multivariate Research (2nd Ed.) Sage Publications ISBN 978-1412988117 2. You can find student price at https://www.vitalsource.com/referral?term=9781483305905
- Using SPSS for Windows and Macintosh, Books a la Carte, 8th Edition. Title: Using SPSS for Windows and Macintosh, Books a la Carte, 8th Edition Year: 2017. Author: Green & Salkind. ISBN 10: 0134319885. ISBN 13: 9780134319889
- American Psychological Association ISBN 1-55798-2732 3. American Psychological Association. (2010). Publication Manual of the American Psychological Association (Sixth Edition). 2010 American Psychological Association. ISBN-10: 1-4338-0561-8, Online: www.apa.org/books, E-mail: order@apa.org
Software:
Software IBM SPSS (Graduate Pack 23 or 24: Standard or Premium Version) (Available from online sources such as www.studentdiscounts.com) Cost = approximately $90.00 for a 12 month license that can be installed on two computers. You might want to share the software with one student in the class.
Course Objectives
At the completion of this course, you should be able to:
- Given a research scenario and data set, select and conduct appropriate multivariate analyses using SPSS.
- Given a research scenario and SPSS output, produce an accurate written summary and interpretation of the results in MS Word using APA format.
- Expectations
- Attendance/Class Participation/Readings
- Time Expectations:
- Professionalism/Communication:
Cell phones should be placed in airplane or vibrate mode at the start of class. If you need to use your phone or text please excuse yourself and do so out in the hallway so you won’t distract your colleagues.
- Preparedness
- Requirements
Three HW assignments must be completed. Due dates are posted in the calendar. Assignments involve Organizing and analyzing data using SPSS, interpreting and summarizing results in APA format, and responding to questions on assigned readings and lecture material. Assignments are not accepted more than one week after the due date.
Please note that late assignments are penalized by 15%. Extensions without penalty must be approved IN ADVANCE.
Data Analysis Project
You must develop a multivariate research proposal and research questions. Using SPSS and a data set provided by the instructors, you must conduct analyses to answer the questions and produce a written report in APA format summarizing and interpreting your results.
- Class Participation/Readings/Attendance:
Academic Honesty
We cannot stress enough the importance of integrity and academic honesty in our work. Plagiarism will be penalized with course failure. Be sure to cite all your resources, give appropriate credit to others. and be proud of the work you submit.
Policies
1. Assignments must be submitted via Blackboard as MS WORD documents. 2. Late assignments receive a 15% penalty. 3. Attendance is required. 4. All quizzes and exams are open book and open notes.
5. All work must be completed by December 19, 2016 6. Any work not completed by December 19, 2016 will receive a score of 0. 7. "Incompletes" will be given only under extraordinary conditions. 8. "Extra credit" is not available.
Evaluation
2 HWS @ 10 points 20
2 Data analysis project 40
Class participation Total 20
Grading 100
95-100% A
90-94% A-
85-89% B+
80-84% B
70-79% B-
60-69% C
Below 60% F
First Weekend
Introduction
Topic
Materials
Research methods:
Selection of subjects
Design and/or procedures
Data gathering Instruments and Questionnaire
Treatment of data Statistical procedures
Variables, independent, dependent, moderating/control and intervening variableTypes of variables
http://www.indiana.edu/~educy520/sec5982/week_2/variable_types.pdf
Class Discussion
Research Problem Exercises
Basic Experimental & Quasi-experimental Designs
- Necessary conditions for true experimental designs
- Internal and external design validity
- Sources of variance, variance control
- Random assignment
1. Statistical procedures: t-test: independent means t-tests
SPSS book - One Sample t Test
SPSS book Independent Samples t Test
ANOVA: One-way, multiple range tests, Posthoc analysis
SPSS book One Way Analysis of VarianceSpss Book Two Way Analysis of Variance
CORRELATION
Article Discussion
Sunday
8:30-4.30
2. Bivariate Correlation and Regression Analysis
(Review from Quantitative Methods I)
- PPMC and related correlation (linear) models
- Strengths and weaknesses of simple Zero-Order correlations
- R square, interpretation of explained variance, statistical significance
- Curvilinear models
- Regression and Prediction
SPSS Lesson 30. Pearsin Product-Moment Correlation Coefficient
SPSS- Lesson 32 Bivariate Linear Regressio
Second Weekend
Introduction to Multiple regression
- Variable entry models: Simultaneous, Step-wise, Hierchical
SPSS Lesson Multiple Linear Regression
Article Discussion
Advanced Experimental Designs
� Factorial designs and interaction effects
� Repeated measures designs
� Analysis of Covariance: Statistical control
SPSS Lesson
Introduction to Measurement and Measurement Theory
- Reliability and Validity
SPSS lessons 36 and 37
Factor Analysis