The Steps of Data Analysis
Presented by William M. Bannon, Jr., PhD
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About The Course
The webinar class will be held from January 20, 2025 to February 27, 2025. The early registration fee of $250 covers the cost of registration and all course materials. Early registration will close on December 27, 2024 (Midnight, EST). After that date, the full registration fee of $300 will apply.
Contact Dr. Bannon at the email address: wb2005@caa.columbia.edu with any issues regarding registration. After registration, you will receive an email message confirming your registration in the webinar class.
Registration
Select a method below to purchase a seat in the next The Steps of Data Analysis 6-week webinar class. Please email Dr. Bannon at: wb2005@caa.columbia.edu if you would like to register by check.
Use the button below to register via Paypal or a Credit/Debit Card.
The thought Process Behind this course
The key to producing a legitimate and effective quantitative (statistical) research study is a knowledge of the 7 steps involved in the process of data analysis. Through this webinar presentation, attendees will learn these 7 specific steps of the data analysis process, as well as the procedures involved within each step. Click here to watch a short video on the concept of The 7 Steps of Data Analysis.
Course Objectives
The objective of this webinar program is to enable the participant to structure and implement a data analysis study on their own. To meet this objective, attendees will meet a list of smaller objectives that include:
1. Learning the essential facts needed for quantitative research: While there is a great deal of information regarding quantitative analysis, there are a limited number of “need-to-know facts” that a researcher must absorb to perform data analysis. This webinar identifies the essential pieces of knowledge needed to produce a quantitative study.
2. Database preparation: Attendees will learn how to create a software database (in SPSS), as well as how to clean and enter data into that database.
3. Data preparation: Attendees will learn how to perform checks of data integrity and other means of assuring that data are appropriate for statistical analysis. These checks of data integrity include assessing missing data, examining statistical test assumptions, psychometric analysis of study instruments, and determing statisitcal power.
4. Performing univariate analysis: Attendees will learn how to present the individual characteristics of study variables via univariate analysis.
5. Performing bivariate analysis: Attendees will learn how to select and conduct various bivariate statistical tests to identify if a significant relationship exists between two variables.
6. Performing multivariate analysis: Attendees will learn multivariate statistical techniques, such as linear and logistic regression, to identify the effects of several predictor variables on study outcomes
7. Implementing and conducting a quantitative research study: Attendees will learn how to organize and apply all of the learning above into a 7-step process that will produce an effective and legitimate quantitative research study.
8. Publishing findings: Attendees will learn how to conduct the write-up and report the results of the Meta-Analysis in manuscript form.
Course Features
Several resources are provided to meet the objectives, including weekly presentations, personalized attention, and written materials. Specifically, the webinar features include:
1. Weekly Webinar Presentations: A 1-hour (approximately) webinar presentation will be made available to participants every Monday during the 6-week duration of the program (emailed to the attendee by 9 am EST). All examples and lecture notes will use SPSS. All presentations are recorded so each may be watched at the viewer’s convenience. Attendees have indefinite access to the presentations during and after the webinar.
2. Q and A Sessions: Learning these materials is often facilitated by the participant being able to present their questions directly to the facilitator. Therefore, participants will be able to email their questions on the material directly to Dr. Bannon every Thursday (a 24-hour Q and A session) during the program and have him respond to them personally.
3. Written Materials: A physical copy of The 7 Steps of Data Analysis textbook (regularly $122) will be included for free with registration for the current session. Additionally, a written chapter (PDF) will be included with each weekly presentation that will be organized in a Cliffs Notes style, with references to pages in the textbook to expand on the subject matter.
4. One-Hour Personal Consultation: Often, participants prefer to present some questions by phone or in person. Subsequently, Dr. Bannon will schedule a 1-hour personal consultation by phone or in person (regularly $225 at the student rate/$300 at the academic rate) with each participant to discuss any topic of the participant's choosing (e.g., webinar course materials, a project that is being developed or worked upon).
5. Writing Critique: Reporting findings in scientific text and tables is a skill. Many times a critique and feedback to one’s work is of great benefit. Subsequently, as a part of this webinar participants are welcome to submit up to 10 pages of scientific writing (e.g., the methods and results sections of a dissertation or research study) to Dr. Bannon for critique and feedback.
Who Should Attend?
This course facilitates a foundational understanding of the process of data analysis. Therefore, students, academics, and professionals approaching statistical analysis at the fundamental/intermediate level or those who would like a refresher course before performing a quantitative study would find this course useful.
Course Structure
Learning will occur over the webinar duration in the following 6 week format:
Week 1: Introduction, Concepts, & Step 1 – Study Map
Week 2: Step 2 – Data Entry
Week 3: Step 3 – Checks of Data Integrity
Week 4: Steps 4 and 5 – Univariate and Bivariate Analysis
Week 5: Step 6 – Multivariate Analysis & Bonus: Multiple Linear Regression with Interaction Effects
Week 6: Step 7 – Write-Up and Report
Registration
Select a method below to purchase a seat in the next The Steps of Data Analysis 6-week webinar class. Please email Dr. Bannon at: wb2005@caa.columbia.edu if you would like to register by check.
Use the button below to register via Paypal or a Credit/Debit Card.