Advanced Methods in Family Therapy Research

by Richard B Miller (Editor), Lee N. Johnson (Editor)

Overview

Advanced Methods in Family Therapy Research provides an accessible, understandable primer to advanced clinical research methods and statistics, all with the purpose of advancing therapy effectiveness and improving client care.

This fully revised new edition is designed to help readers produce, consume, and understand research, keeping up to date with the latest developments in the field.

Accessibly written with marriage and family therapists and researchers in mind, the chapters in the book address the changes in the research landscape of family therapy research, including new research designs, methods, and statistical techniques that are now considered best practice. Contributing authors share their wisdom on a wide variety of topics including randomized controlled trials, qualitative research, cultural adaptation research, and mixed methods research, with new chapters on metaanalysis, multilevel modelling, benchmarking, growth mixture modelling, Bayesian statistics, and more. New information on how to consume as well as produce research is featured, helping readers become informed consumers of journal articles and studies, produce quality, publishable research, and write fundable grant proposals. With further readings lists and online materials for classes, this textbook is essential reading for graduate students in MFT training, as well as MFT and clinical psychology researchers. It will also be an invaluable resource for marriage and family therapists to help them keep abreast of innovations in clinical practice.

Product Details

ISBN-13:	9781032364148
Publisher:	Taylor & Francis
Publication date:	11/02/2025
Edition description:	2nd ed.
Pages:	466
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Richard B. Miller, PhD, is a Camilla Eyring Kimball professor in the School of Family Life at Brigham Young University, where he teaches in the Marriage and Family Therapy Program. He has taught research methods classes to doctoral and master’s students for over 35 years.

Lee N. Johnson, PhD, is a marriage and family therapy professor at Brigham Young University. Before becoming a faculty member at BYU, he taught at the University of Georgia for 12 years and at Friends University for 3 years. He has taught research methods and statistics to doctoral and master’s students for over 25 years.

Table of Contents

Section 1: Foundational Issues  1. Introduction: Seven Principles for Producing High Quality Research  2. Innovations in Measurement in Clinical Research  3. "Nothing About Us, Without Us" - Recruitment and Retention of Underrepresented and Marginalized Populations in Clinical Research  4. Practice-Based Research: Routine Outcome Monitoring and Practice Research Networks Across Contexts  Section 2: Methodologies  5. Randomized Control Trials in Couple and Family Therapy  6. Alternatives to RCTs: Benchmarking and Propensity Score Analysis  7. Task Analysis in Couple and Family Therapies  8. Examining Micro-change in Clincial Populations Using Intensive Longitudinal Approaches  9. Physiological Research in Couple and Family Therapy  10. A Qualitative Quick Guide: How to Design and Complete Your First Research Project  11. Deductive Qualitative Analysis: A Qualitative Method for Theory Testing and Refinement  12. Mixed Methods Research into Couple and Family Therapy  13. Meta-analysis in Couple and Family Therapy  14. Cultural Adaptation Research  Section 3: Analysis  15. Applied Statistical Analysis and Interpretation  16. Testing Mediation: Conceptual Foundations and Recommended Analytical Applications  17. All Things in Moderation  18. Principles and Applications of Structural Equation Modeling  19. Multilevel Modeling and Applications in Couple and Family Therapy  20. Latent Class/Profile Analyses  21. Growth Modeling and Growth Mixture Modeling  22. Observational Research  23. "Our Relationship" vs "My Relationship": Considering Couple-Level Phenomeno with Common-Fate and Latent Congruence Models  24. Bayesian Modeling