Joel G. Anderson, PhD, CHTP, FGSA
Associate Professor

College of Nursing 
1412 Circle Drive
Knoxville TN 37996
Phone: (865) 974-7610
Twitter: @JoelAndersonPhD
ORCID: 0000-0002-6216-4014
joelganderson.com
Pronouns: He/Him/His

 

Adjunct Associate Professor, Centre for Age-Related Medicine, Stavanger, Norway
Co-Chair, Communications Committee, International Family Nursing Association
Blog Editor, International Family Nursing Association

Co-Convener, International Dementia Scholars Collaborative

 

From: International Family Nursing Association <[log in to unmask]>
Date: Wednesday, September 13, 2023 at 2:37 PM
To: Anderson, Joel Gwyn <[log in to unmask]>
Subject: IFNA Webinar: Mixed Method Family Research and the Challenge of Data Integration

 

Mixed Method Family Research and the Challenge of Data Integration

 

Thursday, November 2, 2023

9:00am - 10:30 EDT (New York)

 

Free for IFNA Members / $25.00 for Non-members

 

Description

The overall intent of the webinar is to provide practical guidance on the integration of qualitative and quantitative data in mixed method research. Following an overview of mixed method designs appropriate for family research, the presentation will focus on visual display and data transformation strategies used for data integration, incorporating examples from published family research as well as the presenter’s past and ongoing research.

 

Learning Objectives

1. Differentiate mixed method from multi-method research. 

2. Select an appropriate mixed method design for addressing their research question(s). 

3. Apply analysis strategies for integration of qualitative and quantitative data.

 

Target Audience

This webinar will be of interest to anyone doing or planning a mixed method family study.

 

Presenter

 

Kathleen A. Knafl, PhD, FAAN

 

Dr. Knafl is a Professor at the University of North Carolina, Chapel Hill School of Nursing. She is a nationally recognized expert in family and mixed-methods research whose work has focused on family response to childhood chronic conditions. She has considerable experience in mixed-method designs and the integration of quantitative and qualitative data during the course of data analysis.

 

 

 

 

Please contact Debbie Zaparoni at [log in to unmask] with any questions.

 

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