The Steps of Data Analysis 6 Week Webinar Class
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Use the button below to purchase a seat in the next The Steps of Data Analysis 6-week webinar class.
About the Course
The class will be held from April 3, 2023 to May 11, 2023. The registration fee of $300 covers the cost of registration and all course materials. Registration will close on March 24, 2023 (Midnight, EST).
After registration you will receive a confirmation email regarding the mailing address for your textbook and the email to be used during the class, as well as immediate access to the video presentations.
Contact Dr. Bannon at the email above with any issues regarding registration.
What People Are Saying
Comments by prior attendees include: “I would like to thank Bill for taking a subject that can evoke anxiety and making it “light”. I appreciate Bill’s sense of humour, knowledge and passion for teaching. Bill’s teaching skill and continued willingness to help his students achieve success is inspiring. Thanks Bill!”
Over 95% of all prior attendees rated the class as Extremely/Very Useful
A full 100% described they would recommend the class to others
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.
Who Should Attend?
This course facilitates a foundational understanding of the process of data analysis. Therefore, students, academic, and professionals approaching statistical analysis at the fundamental level or those who would like a refresher course before performing a quantitative study would find this course useful.
Doctoral students that must complete dissertation and capstone studies using statistical methods will find this course of particular use, as the information helps set the entire foundation for a such a study, as well as instructs on how to implement the analysis and write up findings in a manuscript or chapter form.
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 in order to perform data analysis. This webinar identifies the essential pieces of knowledge needed to produce a quantitative study.
2. Data entry: Attendees will learn how to create a software data base (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.
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 in order to identify if a significant relationship exists between two variables.
6. Performing multivariate analysis: Attendees will lean multivariate statistical techniques, such as linear and logistic regression, in order to identify the effects of several predictor variables on study outcomes.
7. Publishing findings: Attendees will learn how to conduct the write-up and report the results of the statistical analysis in manuscript form.
8. 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.
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 9am 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 written chapter (PDF) detailing the materials will be presented to elaborate upon the content presented in each weekly webinar.The combined chapters will produce a manual containing detailed lecture notes, examples of computer printouts, and several other useful features.
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 participants 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.
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
Use the link below to purchase a seat in the next The Steps of Data Analysis 6-week webinar class.
The class will be held from April 3, 2023 to May 11, 2023. The registration fee of $300 covers the cost of registration and all course materials. Registration will close on March 24, 2023 (Midnight, EST).
Contact Dr. Bannon at the email above with any issues regarding registration.
After registration you will receive a confirmation email regarding the mailing address for your textbook and the email to be used during the class, as well as immediate access to the video presentations.