Use the link below to purchase a seat in the next session of The Ideal Qualitative Study with a Quantitative Component 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).

Contact Dr. Bannon at the email above with any issues regarding registration. After registration you will receive an email confirming your registration and your email address to be used for all webinar communications, as well as immediate access to the video presentations.

What People Are Saying

Ratings provided by prior webinar attendees reflect:

Approximately 95% of all prior attendees found the class Extremely/Very Useful

A full 100% described they would recommend the class to others

Comments by prior attendees include:
“Very clearly explained, great instructor. Handouts were also concise and clear. Especially having the example (sample study) was particularly helpful.”

“Great follow up to the first series on quantitative analysis and reporting. I’m very happy with what I have learned.”

The Thought Process Behind This Course

The purpose of research involving study participants is chiefly to gain the perspective of the individual being interviewed. Toward this end, qualitative research is invaluable as the methods involved allow the researcher to ask for the perspective of the study participant directly.

However, to maximize the value of the research, there is often a need to organize, count, and quantify the variables and variable relationships within the qualitative study, which drifts into the area of quantitative research methods. Thus, it may be realistic to conclude that an ideal research project might consist of a qualitative study with a quantitative component.

Therefore, this webinar program has been created to review the essentials of qualitative data analysis, quantitative data analysis, as well as how to combine these two strands of data using mixed methods data analysis.

Course Objectives

The objective of this webinar program is to enable the participant to structure and implement a qualitative study with a quantitative component on their own.To meet this objective, attendees will meet a list of smaller objectives that include:

1. Learning the foundations of qualitative data analysis: Step by step guidance will be provided in detail regarding qualitative data analysis methods.

2. Quantifying qualitative data: Attendees will learn how to comprehensively review the qualitative data and structure these data in quantifiable terms, so these data may be understood in the greatest detail.

3. Learning the essential statistical tests in quantitative research: Attendees will learn how to perform statistical analysis at the univariate, bivariate, and multivariate level, in order to implement the quantitative component of their research study.

4. Marrying the qualitative and quantitative data: Attendees will learn how to combine the qualitative and quantitative data via mixed methods data analysis methods in order to produce rich and detailed research findings.

5. Publishing findings: Attendees will learn how to conduct the write-up and report the results of the data 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 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.

Who Should Attend?

This course is designed to facilitate a foundational understanding of the process of data analysis using qualitative research methods. Therefore, students, academic, and professionals approaching qualitative data analysis at the fundamental level or those who would like a refresher course before performing a qualitative study would find this course useful.

Furthermore, this webinar instructs on how to use quantitative methods to enhance the findings of a qualitative study. Therefore, experienced qualitative researchers that wish to branch into quantitative methods to enrich their research would also find this course of use.

Doctoral students that must complete dissertation and capstone studies using both quantitative and qualitative methods will find this course of particular use, as the information helps set the entire foundation, analysis, and reporting of results for such a study.

Course Structure

Learning will occur over the webinar duration in the following 6 week format: