Conducting Non-Continuous Regression Models: 4-Part Series
Non-continuous regressions are a widely applied statistical technique used to predict the outcome of a dependent variable based on previous observations. These methods are useful because of their ability to answer research questions that focus on understanding the probability of a binary event occurring or dealing with issues of classification (e.g., predicting if a child will be adopted or not). Examples include predicting whether a student will pass an exam or if a marriage will end in divorce.
In this four-part webinar series, attendees will learn how to perform:
- Logistic regression (a gentle introduction).
- Interaction and non-linear logistic regression models.
- Poisson regression models or modeling events where the outcomes are counts.
- Zero-inflated models or how to model data that has an excess of zero counts.
Participants will receive handouts and datasets to practice the skills being taught in the webinars. STATA will be demonstrated in the webinar, but additional information will be provided in SPSS.
All participants in this live webinar series will receive access to a free 3-month trial of STATA for no additional charge.
This webinar series is applicable to both students and professionals. It is recommended that the audience be familiar with the basics of correlation and regression prior to attending this webinar series. Recorded webinars are also provided on these topics.
This webinar is part of the multi-year NCFR series Quantitative Methods: Learning and Practicing Beginner to Advanced Skills. Future webinars in this series on advanced statistical methods will build on the skill learned in this webinar. Webinars from this series are great for individual use and as supplemental materials in research methods and statistics courses. Classroom licenses are available for all webinars.
Each webinar is approved for 1.5 hours of CFLE continuing education credit. Taking all four webinars would result in 6 hours of CFLE continuing education credit.
Single Pricing: $29 for NCFR student members / $49 for NCFR members & CFLEs / $89 for nonmembers & non-CFLEs
Series Pricing: $79 for NCFR student members / $139 for NCFR members & CFLEs / $249 for nonmembers & non-CFLEs
NCFR members receive discounts on their webinar registration. Become a member today and receive the full benefits of NCFR membership!
Please note: Each session will build on the knowledge presented in the previous session. If you are interested in attending the second, third, or fourth webinar in the series, we highly recommend that you register for and attend the previous webinars in the series.
Webinar 1: Introduction to Logistic Regression
May 8, 2023 | 11:30 a.m.–1:00 p.m. CT | Alan Acock, Ph.D.
This webinar will offer a gentle introduction to logistic regression, a commonly applied statistical technique to predict a binary outcome (e.g., yes/no) by analyzing the relationship between one or more existing independent variables. Attendees will explore the fundamentals and common uses of logistic regressions in the context of family-related research, and gain comfort in interpreting results from this technique and learn how to apply it in their own work.
To assist in meeting this goal, a detailed handout will be provided that includes a step-by-step guide on preparing, implementing, and interpreting results from a logistic regression. Although this can be directly applied to existing research studies, a fictional dataset will also be included for attendees to practice the skills being taught.
Overall, attendees will leave this webinar with the ability to:
- Explain the fundamentals of logistic regression
- Describe the common uses of logistic regression
- Perform a logistic regression model
- Interpret the results of a logistic regression model
Approved for 1.5 hours of CFLE continuing education credit.
Purchase/Access Webinar 1 only
Webinar 2: Interaction and Non-Linear Models using Logistic Regression
May 18, 2023 | 11:30 a.m.–1:00 p.m. CT | Alan Acock, Ph.D.
This webinar will build on the Introduction to Logistic Regression by exploring the many uses of logistic regressions, give an overview of non-linear logistic regression models, and to practice what has been learned. Specifically, attendees will learn how to examine the interaction between a continuous and a categorical predictor variables, while also learning about how to examine the non-linear relationship between dependent and independent variables.
To assist in meeting this goal, a detailed handout will be provided that includes a step-by-step guide on preparing, implementing, and interpreting results from a logistic regression. Although this can be directly applied to existing research studies, a fictional dataset will also be included for attendees to practice the skills being taught.
Overall, attendees will leave this webinar with the ability to:
- Explain the fundamentals of interaction and non-linear logistic regressions
- Describe how interaction and non-linear models can be used in family science research
- Perform interaction and non-linear logistic regressions in statistical software
- Interpret the results of interaction and non-linear logistic regressions
Approved for 1.5 hours of CFLE continuing education credit.
Purchase/Access Webinar 2 only
Webinar 3: Introduction to Poisson Regression Model
May 24, 2023 | 11:30 a.m.–1:00 p.m. CT | Isaac Washburn, Ph.D.
Building upon the previous webinars in the Conducting Non-Continuous Regression Model series, attendees of webinar 3 will learn how to conduct a Poisson regression model, also known as a log-linear model. Specifically, participants will learn how to predict a dependent variable that consists of count data, given one or more independent variables. This webinar will also introduce people to the idea of incidence rate ratios (IRR; effect size for Poisson regression) and contrast them to odds ratios (OR effect size for logistic regression). A fictional dataset will be provided for attendees to practice the skills taught.
Overall, attendees will leave this webinar with the ability to:
- Explain the difference between incidence rate ratios and odds ratio
- Describe the fundamentals of Poisson regression model
- Perform a Poisson regression model
- Interpret the results of a Poisson regression model
Approved for 1.5 hours of CFLE continuing education credit.
Purchase/Access Webinar 3 only
Webinar 4: Introduction to Zero Inflated Models
May 30, 2023 | 11:30 a.m.–1:00 p.m. CT | Isaac Washburn, Ph.D.
This webinar is the final webinar in the Conducting Non-Continuous Regression Model four-part webinar series. Zero-inflated regression models are commonly used in the analysis of count data with an overabundance of zeros. These models combine Poisson and logistic models to handle the count data and the overabundance of zeros simultaneously. Examples include the number of visits a family makes to the therapist, or the number of risky behaviors of an adolescent. A fictional dataset will be provided for attendees to practice the skills taught.
Overall, attendees will leave this webinar with the ability to:
- Explain the fundamentals of zero inflated models
- Describe the use of zero inflated models in family science research
- Perform zero inflated models in statistical software
- Interpret the results of a zero inflated models
Approved for 1.5 hours of CFLE continuing education credit.
Purchase/Access Webinar 4 only
About the Presenters
Alan Acock, Ph.D., is a Knudson Endowed Chair of Family Research Emeritus and University Distinguished Professor Emeritus of Family Studies in the School of Social and Behavioral Health Sciences at Oregon State University. He has a published extensively in Family Science and quantitative research methodology. His publications include seven books, 20 book chapters, and more than 150 refereed journal articles. In 2007, for his teaching and educational leadership, Dr. Acock received the Oregon State Alumni Distinguished Professor Award and NCFR's Ernest G. Osborne Award.
Isaac Washburn, Ph.D., is a professor and department chair of the Biobehavioral Health Sciences in the College of Nursing at the University of Oklahoma Health Science Center as well as the Fran and Earl Ziegler Endowed Chair. He received his Ph.D. in Human Development and Family Science from Oregon State University with an emphasis in quantitative methods. In addition to regularly teaching classes in advanced statistical modeling and methods, Dr. Washburn has been working on federally funded grants for over fifteen years. Dr. Washburn has regularly taught workshops on a variety of methods ranging from SEM, to missing data, to survival analysis. Dr. Washburn is the Chair-Elect of the Research and Theory section of NCFR and will serve as the section chair Nov. 2023 to Nov. 2025. He has also co-chaired (twice) the Theory Construction and Research Methods (TCRM) preconference at the annual NCFR conference.
On-Demand Webinar Recording
Even if you can't watch this webinar live, your registration will still grant you access to watch the recording at your convenience.
Classroom Use
Classroom and departmental use licenses allow faculty members to share the video in class or embed the video in their online learning management system. Departmental use licenses allow more than on faculty member to use the webinar in their class. We request that links or downloads are not shared with students.
Single Webinar Pricing
- License for classroom use by one professor is available for $134 for NCFR members, $204 for nonmembers.
- License for departmental use (multiple professors) is available for $184 for NCFR members, $324 for nonmembers.
- Departmental license for CFLE-approved programs is $159.
Series Webinar Pricing
- License for classroom use by one professor is available for $364 for NCFR members, $564 for nonmembers.
- License for departmental use (multiple professors) is available for $504 for NCFR members, $904* for nonmembers.
- Departmental license for CFLE-approved programs is $429.
NCFR members receive discounts on their webinar registration. Become a member today and receive the full benefits of NCFR membership!
