Coincidence Analysis
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Literature

Methodological Applied Conceptual Protocol Book chapters PhD theses

The methodological literature on CNA and the applied literature using CNA is rapidly growing. This page provides a mere snapshot. For a full list of CNA resources visit the Zotero CNA Group library.

Methodological

The details of the state of the art of the CNA method, as implemented in the cna R package, are described in:

  • Baumgartner, M. and Ambühl, M. (2025), cna: An R Package for Configurational Causal Inference and Modeling, R package vignette, The Comprehensive R Archive Network.
  • Baumgartner, M. and Ambühl, M. (2020), Causal Modeling with Multi-Value and Fuzzy-Set Coincidence Analysis, Political Science Research and Methods 8, 526-542, doi: 10.1017/psrm.2018.45. Replication material at 10.7910/DVN/YIEAF1.

Short and informal introductions to configurational causal modeling are provided in the following papers:

  • von Thiele Schwarz, U., Sørensen, O. H., Tafvelin, S., and Roczniewska, M. (2024), Complexity Embraced: A New Perspective on the Evaluation of Organisational Interventions, Work & Stress, 1-7, doi: 10.1080/02678373.2024.2349000
  • Whitaker, R.G., Sperber, N., Baumgartner, M., et al. (2020), Coincidence Analysis: A New Method for Causal Inference in Implementation Science, Implementation Science 15, 108, doi: 10.1186/s13012-020-01070-3
  • Distel, B., Plattfaut, R., and Baumgartner, M. (2026), Coincidence Analysis: An Alternative Method for Studying Causal Complexity in IS Research, Communications of the Association for Information Systems 59.

This paper introduces CNA robustness scoring, as implemented in the frscore R package:

  • Parkkinen, V.P. and Baumgartner, M. (2023), Robustness and Model Selection in Configurational Causal Modeling, Sociological Methods & Research 52(1), 176-208, doi: 10.1177/0049124120986200

This paper discusses a protocol for finding optimally obtainable consistency and coverage scores for a given data set. (The algorithms introduced in this paper are implemented in the cnaOpt R package):

  • Baumgartner, M. and Ambühl, M. (2021), Optimizing Consistency and Coverage in Configurational Causal Modeling, Sociological Methods & Research, doi: 10.1177/0049124121995554

These papers uncover shortcomings of consistency and coverage and introduce two evaluation measures:

  • De Souter, L. (2024), Evaluating Boolean Relationships in Configurational Comparative Methods, Journal of Causal Inference 12(1), doi: 10.1515/jci-2023-0014
  • De Souter, L. and Baumgartner, M. (2025), New Sufficiency and Necessity Measures for Model Building with Coincidence Analysis, Zenodo, doi: 10.5281/zenodo.13619580 (preprint).

This paper investigates the impact of data imbalances (skewness) on CNA’s performance:

  • Swiatczak, M. and Baumgartner, M. (2024), Data Imbalances in Coincidence Analysis: A Simulation Study, Sociological Methods & Research, doi: 10.1177/00491241241227039

These papers compare CNA and QCA:

  • Swiatczak, M. (2022), Different Algorithms, Different Models, Quality & Quantity 56, 1913-1937
  • Haesebrouck, T. and Thomann, E. (2022), Introduction: Causation, Inferences, and Solution Types in Configurational Comparative Methods, Quality & Quantity 56, 1867-1888

This paper compares CNA and Logic Regression:

  • Baumgartner, M. and Falk, C. (2023), Configurational Causal Modeling and Logic Regression, Multivariate Behavioral Research 58(2), 292-310

Older versions of the CNA method are introduced/discussed here:

  • Baumgartner, M. and Thiem, A. (2015), Identifying Complex Causal Dependencies in Configurational Data with Coincidence Analysis, The R Journal 7, 176-184
  • Baumgartner, M. (2013), Detecting Causal Chains in Small-N Data, Field Methods 25, 3-24
  • Baumgartner, M. (2009), Uncovering Deterministic Causal Structures: A Boolean Approach, Synthese 170, 71-96
  • Baumgartner, M. (2009), Inferring Causal Complexity, Sociological Methods & Research 38, 71-101

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Applied

  • Semenza, Daniel C., Edward J. Miech, Brielle Savage, and Devon Ziminski (2026), How local prevention efforts and state regulations intersect to reduce fatal shootings: a configurational analysis of firearm policies in the United States, Journal of Public Health Policy, doi: 10.1057/s41271-026-00654-5
  • Zhang, Jingwen, Yanan Li, Yuhao Wang, and Bing Feng (2026), High-Fatality Escalation Pathways in Hazardous Chemical Accidents: A Hierarchical Configurational Analysis for Process Safety, Processes 14(13), 2077
  • Tavernier, Rebecca L. Emery, Kelly E. Coates, May Oo, et al. (2026), Using coincidence analysis to understand implementation of a play-promotion program through a national learning collaborative, Academic Pediatrics, 103368
  • Rehn, Henrik J., Alexandre Sukhov, Lars E. Olsson, and Margareta Friman (2026), Exploring the ‘window of opportunity’ for car use reduction with a configurational comparative method, Journal of Environmental Psychology, 103093
  • Caci, L., Blum, K., Johnson, C. et al. (2026), Organizational readiness for implementing infection control in European hospitals: insights from Coincidence Analysis, Implement Sci Commun 7, 65
  • Caci, L., Blum, K., Clack, L., and Albers, B. (2026), Factor selection in configurational comparative analysis – guidance for implementation researchers, Implement Sci Commun, doi: 10.1186/s43058-026-00981-4
  • Huang, Zishuo, Gonghang Qiu, Changmiao Shi, et al. (2026), Implementing multidomain non-pharmaceutical interventions for preventing cognitive decline in community-dwelling older adults in China: An embedded mixed-methods implementation study of determinants and strategies, Alzheimer’s & Dementia 22(6), e71560
  • Rich, John, Edward Miech, Kate Mackie, Deborah Cragun, Eve Shapiro, Sage Kim, Minyoung Do, Jessica Bishop-Royse, David Ansell, and Theodore Corbin (2026), How segregation, low birth weight, unemployment, and violence link to low life expectancy in Chicago, Health Affairs Scholar 4(4), qxag080, doi: 10.1093/haschl/qxag080
  • Gothilander, J., Miech, E.J., Almqvist, L., Fritz, J., and Eriksson, C. (2026), Exploring paths to participation and non-participation in physical exercise among Swedish adolescents, Frontiers in Public Health 14, 1723898, doi: 10.3389/fpubh.2026.1723898
  • Rhodes, Jesse (2025), Laboratories of democratic renewal: explaining substantial improvement in the quality of democracy in the American States, Political Science Research and Methods, 1-18, doi: 10.1017/psrm.2025.10051
  • Adamu, Abdu A., Ndwandwe, Duduzile, Uthman, Olalekan A., and Wiysonge, Charles S. (2025), Enhancing the use of routine program data for immunization decision-making: The role of Coincidence Analysis in localized learning and adaptation, Human Vaccines & Immunotherapeutics 21(1), 2582302, doi: 10.1080/21645515.2025.2582302
  • Talal, A.H., Markatou, M., Zeremski, M. et al. (2025), Opioid treatment program-integrated facilitated telemedicine for hepatitis C treatment: a hybrid effectiveness-implementation analysis, BMC Complement Med Ther 25, 377, doi: 10.1186/s12906-025-05138-9
  • Zamantakis, A., Gomez, W., Lukose, L. et al. (2025), Barriers to Same-Day Pre-exposure Prophylaxis (PrEP) Implementation in Federally Funded HIV Clinics Within High-Burden Areas of the U.S.: A Coincidence Analysis, AIDS Behav, doi: 10.1007/s10461-025-04898-2
  • Wasmuth, Sally, Bravata, Dawn, and Miech, Edward (2025), Difference-Making Conditions for the Successful Implementation of IDEAS: A Provider Stigma-Reduction Training for and by Occupational Therapy Practitioners, Am J Occup Ther 79(5), 7905205070, doi: 10.5014/ajot.2025.051085
  • Tafvelin, S. and Stenling, A. (2025), How Do Individual and Work Environment Factors Combine in Their Influence on Transfer of Leadership Training? A Configural Approach, International Journal of Training and Development, doi: 10.1111/ijtd.12373
  • Huang, Reiping, Remer, Sarah L., Knapp, Leandra K., Cohen, Mark E., Rosen, Michael A., Hall, Bruce L., Wick, Elizabeth C., and Ko, Clifford Y. (2025), Hospital Configurations Leading to Successful Implementation of Enhanced Recovery Programs, Annals of Surgery, doi: 10.1097/SLA.0000000000006731
  • Pratt-Chapman, M.L., Miech, E.J., Mullins, M.A., Chang, S., Quinn, G.P., Maingi, S., Schabath, M.B., and Kamen, C. (2025), Difference-Makers for Collecting Sexual Orientation and Gender Identity Data in Oncology Settings, Cancer Medicine 14, e70727, doi: 10.1002/cam4.70727
  • Matson, T.E., Lee, A.K., Miech, E.J., Wartko, P.D., et al., Bradley, K.A. (2025), The Difference-Making Role of Staff Support in Implementing Nurse Care Management for Opioid Use Disorder Treatment: A Configurational Analysis, J Subst Use Addict Treat, 209642, doi: 10.1016/j.josat.2025.209642
  • Chuang, E., Bunger, A., Smith, R. et al. (2024), Collaboration strategies affecting implementation of a cross-systems intervention for child welfare and substance use treatment: a mixed methods analysis, Implement Sci Commun 5, 127, doi: 10.1186/s43058-024-00666-w
  • Kelley, A.T., Incze, M.A., Baumgartner, M., Campbell, A.N.C., Nunes, E.V., and Scharfstein, D.O. (2024), Predictors of urine toxicology and other biological specimen missingness in randomized trials of substance use disorders, Drug and Alcohol Dependence 260, doi: 10.1016/j.drugalcdep.2024.111368
  • Becker, J., Poast, P., and Haesebrouck, T. (2024), Setting targets: Abatement cost, vulnerability, and the agreement of NATO’s Wales Pledge on Defense Investment, Journal of Peace Research, doi: 10.1177/00223433241267798
  • Duan, Y., Wang, J., Lanham, H.J. et al. (2024), How context links to best practice use in long-term care homes: a mixed methods study, Implement Sci Commun 5, 63, doi: 10.1186/s43058-024-00600-0
  • Barroso, M. B. C. and Moraes, S. M. (2024), Influencing factors of the purchase intention of virtual cosmetic goods in online games, Brazilian Journal of Marketing 23(2), 580-602, doi: 10.5585/remark.v23i2.23369
  • Haesebrouck, T. (2024), EU Member State Support to Ukraine, Foreign Policy Analysis 20(2), orae005, doi: 10.1093/fpa/orae005
  • Kaye, S., Hood, S., Cragun, D. et al. (2024), Maintaining Family Engagement During Home Visitor Turnover: a Mixed Methods Study of Best Practices, Prevention Science, doi: 10.1007/s11121-024-01669-8
  • Akerstrom, M., Severin, J., Miech, E.J., Wikström, E., and Roczniewska, M. (2024), Reducing sickness absence among public-sector healthcare employees: The difference-making roles of managerial and employee participation, Int Arch Occup Environ Health, doi: 10.1007/s00420-024-02048-0
  • Johnson, C., AlRasheed, R., Gray, C., Triplett, N., Mbwayo, A., Weinhold, A., Whetten, K., and Dorsey, S. (2024), Uncovering determinants of perceived feasibility of TF-CBT through Coincidence Analysis, Implementation Research and Practice 5, doi: 10.1177/26334895231220277
  • Pollak, Chava, Verghese, Joe, Blumen, Helena M. (2024), Difference-Making Pathways to Frailty Through Social Factors: A Configurational Analysis, The Gerontologist 64(6), gnad173, doi: 10.1093/geront/gnad173
  • Roczniewska, M., Tafvelin, S., Nielsen, K., von Thiele Schwarz, U., Miech, E.J., Hasson, H., Edwards, K., Abildgaard, J.S., and Sorensen, O.H. (2023), Simple Roads to Failure, Complex Paths to Success: An Evaluation of Conditions Explaining Perceived Fit of an Organizational Occupational Health Intervention, Applied Psychology, doi: 10.1111/apps.12502
  • Damush, T.M., Wilkinson, J.R., Martin, H., Miech, E.J., et al. (2023), The VA National TeleNeurology Program implementation: a mixed-methods evaluation guided by RE-AIM framework, Frontiers in Health Services 3, 1210197, doi: 10.3389/frhs.2023.1210197
  • Dean, M., Tezak, A., Johnson, S., Weidner, A., Almanza, D., Pal, T., and Cragun, D. (2023), Factors that Differentiate Cancer Risk Management Decisions Among Females with Pathogenic/Likely Pathogenic Variants in PALB2, CHEK2, and ATM, Genetics in Medicine 25, 100945, doi: 10.1016/j.gim.2023.100945
  • Piper, K.N., Anderson, K.M., Kokubun, C.W., Sheth, A.N., and Sales, J. (2023), Using Qualitative Comparative Analysis To Understand The Conditions That Produce Successful PrEP Implementation In Family Planning Clinics, Implementation Science Communications 4(1), 64, doi: 10.1186/s43058-023-00450-2
  • Dodge, J.R., Youles, B., Caldararo, J. et al. (2023), Engaging Operational Partners Is Critical for Successful Implementation of Research Products: a Coincidence Analysis of Access-Related Projects in the Veterans Affairs Healthcare System, Journal of General Internal Medicine, doi: 10.1007/s11606-023-08115-5
  • Salvati, Z.M., Rahm, A.K., Williams, M.S., … Cragun, D. (2023), A picture Is worth a thousand words: advancing the use of visualization tools in implementation science through process mapping and matrix heat mapping, Implementation Science Communications 4, 43, doi: 10.1186/s43058-023-00424-4
  • Knott, C.L., Miech, E.J., Woodward, N., and Huq, M. (2023), The role of organizational capacity in intervention efficacy in a church-based cancer education program: a configurational analysis, Global Implementation Research and Applications, doi: 10.1007/s43477-023-00089-0
  • Haesebrouck, T. (2023), The populist radical right and military intervention: A coincidence analysis of military deployment votes, International Interactions, doi: 10.1080/03050629.2023.2184815
  • Sprang, G., Miech, E.J., and Gusler, S. (2023), The role of secondary traumatic stress breakthrough champions in reducing worker trauma and improving organizational health using a configurational analysis approach, Implementation Research and Practice 4, doi: 10.1177/26334895231164582
  • Dodge, J., Sullivan, K., Miech, E., Clomax, A., Riviere, L., and Castro, C. (2024), Exploring the Social Determinants of Mental Health by Race and Ethnicity in Army Wives, Journal of Racial and Ethnic Health Disparities 11(2), 669-684, doi: 10.1007/s40615-023-01551-3
  • Santos, L.F.M., Martins, R.S., and Freitas, J.S. (2023), Explanatory settings of the development of resilience in public administration supply networks, Revista de Administração Pública 57(1), e-2022-0209, doi: 10.1590/0034-761220220209
  • Cragun, D.L., Hunt, P.P., Dean, M., Weidner, A., Shields, A.K., Tezak, A., and Pal, T. (2023), Applying the Framework for Developing and Evaluating Complex Interventions to Increase Family Communication About Hereditary Cancer, PEC Innovation 2, 100133, doi: 10.1016/j.pecinn.2023.100133
  • Rattray, Nicholas, Miech, Edward J., True, Gala, Natividad, Diana, Laws, Brian, Frankel, Richard M., and Kukla, Marina (2022), Modeling Contingency in Veteran Community Reintegration: A Mixed Approach, Journal of Mixed Methods Research, doi: 10.1177/15586898211059616
  • Damschroder, L.J., Miech, E.J., Freitag, M.B., Evans, R., Burns, J.A., Raffa, S.D., Goldstein, M.G., Annis, A., Spohr, S.A., and Wiitala, W.L. (2022), Facility-level program components leading to population impact: a coincidence analysis of obesity treatment options within the Veterans Health Administration, Translational Behavioral Medicine 12(11), 1029-1037, doi: 10.1093/tbm/ibac051
  • Sánchez Ibáñez, A., Franco Hidalgo-Chacón, M.M., Sánchez-Romero, E.A., and Cuenca-Zaldivar, J.N. (2022), Situation of Physiotherapy Clinics in the Community of Madrid in Relation to the Concept of Sustainability: A Survey Study, Sustainability 14(24), 16439, doi: 10.3390/su142416439
  • Adams, K.K., Miech, E.J., and Sobieraj, D.M. (2022), Factors that distinguish opioid withdrawal during induction with buprenorphine microdosing: a configurational analysis, Addiction Science & Clinical Practice 17(1), 55, doi: 10.1186/s13722-022-00336-z
  • Rich, J.A., Miech, E.J., Semenza, D.C., and Corbin, T.J. (2022), How combinations of state firearm laws link to low firearm suicide and homicide rates: A configurational analysis, Preventive Medicine, doi: 10.1016/j.ypmed.2022.107262
  • Charns, M.P., Lerner, B., Yakovchenko, V., Urech, T.H., Shin, M.H., Kim, B., Engle, R.L., and Vashi, A.A. (2022), Achieving transformation to Lean Management Systems in health care, Health Services Research, doi: 10.1111/1475-6773.14072
  • Sperber, N.R., Miech, E.J., Clary, A.S., Perry, K., Edwards-Orr, M., Rudolph, J.L., Van Houtven, C.H., and Thomas, K.S. (2022), Determinants of inter-organizational implementation success: A mixed-methods evaluation of Veteran Directed Care, Healthcare 10(4), 100653, doi: 10.1016/j.hjdsi.2022.100653
  • Womack, D.M., Miech, E.J., Fox, N.J., Silvey, L.C., Somerville, A.M., Eldredge, D.H., and Steege, L.M. (2022), Coincidence Analysis: A Novel Approach to Modeling Nurses’ Workplace Experience, Applied Clinical Informatics 4, 794-802, doi: 10.1055/s-0042-1756368
  • Gwayi-Chore, M.C., Aruldas, K., Avokpaho, E. et al. (2022), Defining optimal implementation packages for delivering community-wide mass drug administration for soil-transmitted helminths with high coverage, BMC Health Serv Res 22, 792, doi: 10.1186/s12913-022-08080-5
  • Miech, E.J., Perkins, A.J., Zhang, Y., Myers, L.J., Sico, J.J., Daggy, J., and Bravata, D.M. (2022), Pairing regression and configurational analysis in health services research: modelling outcomes in an observational cohort using a split-sample design, BMJ Open 12, e061469, doi: 10.1136/bmjopen-2022-061469
  • Rich, J.A., Miech, E.J., Bilal, U., and Corbin, T.J. (2022), How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia, BMC Public Health 22, 1044, doi: 10.1186/s12889-022-13414-3
  • Mulrooney, M., Smith, M., Sobieraj, D., Shipley, B., and Miech, E. (2022), Factors Influencing Primary Care Organization Commitment to Technical Assistance Services for Clinical Pharmacist Integration Using Configurational Comparative Methods, Journal of the American Pharmacists Association, doi: 10.1016/j.japh.2022.03.019
  • Davis, M.M., Schneider, J.L., Petrik, A.F., Miech, E.J., Younger, B., Escaron, A.L., Rivelli, J.S., Thompson, J.H., Nyongesa, D., and Coronado, G.D. (2022), Clinic Factors Associated With Mailed Fecal Immunochemical Test (FIT) Completion: The Difference-Making Role of Support Staff, Ann Fam Med 20(2), 123-129, doi: 10.1370/afm.2772
  • Edianto, Achmed, Trencher, Gregory, and Matsubae, Kazuyo (2022), Why Do Some Countries Receive More International Financing for Coal-Fired Power Plants than Renewables? Influencing Factors in 23 Countries, Energy for Sustainable Development 66, 177-188, doi: 10.1016/j.esd.2021.12.004
  • Winchester, B., Cragun, D., Redlinger-Grosse, K., et al., Zierhut, H. (2022), Application of motivational interviewing strategies with the extended parallel process model to improve risk communication for parents of children with familial hypercholesterolemia, Journal of Genetic Counseling, doi: 10.1002/jgc4.1554
  • Yakovchenko, V., Morgan, T.R., Miech, E.J., et al., Rogal, S.S. (2022), Core implementation strategies for improving cirrhosis care in the Veterans Health Administration, Hepatology, doi: 10.1002/hep.32395
  • Knott, C.L., Miech, E.J., Slade, J., Woodard, N., Robinson-Shaneman, B.J., and Huq, M. (2022), Evaluation of Organizational Capacity in the Implementation of a Church-Based Cancer Education Program, Glob Implement Res Appl, doi: 10.1007/s43477-021-00033-0
  • Dy, S.M., Acton, R.M., Yuan, C.T., Hsu, Y.J., Lai, A.Y., Marsteller, J., et al. (2022), Association of Implementation and Social Network Factors With Patient Safety Culture in Medical Homes. A Coincidence Analysis, The Journal of Patient Safety 18(1), e249-e256, doi: 10.1097/PTS.0000000000000752
  • Schlick, C.J., Huang, R., Brajcich, B.C., Halverson, A.L., Yang, A.D., Kreutzer, L., et al. (2021), Unbundling bundles: Evaluating the effectiveness of individual colorectal surgical site infection reduction bundle elements in a statewide collaborative, Diseases of the Colon and Rectum, doi: 10.1097/DCR.0000000000002223
  • Swiatczak, M.D. (2021), Towards a neo-configurational theory of intrinsic motivation, Motivation and Emotion, doi: 10.1007/s11031-021-09906-1
  • Miech, E.J., Freitag, M.B., Evans, R.R. et al. (2021), Facility-level conditions leading to higher reach: a configurational analysis of national VA weight management programming, BMC Health Serv Res 21, 797, doi: 10.1186/s12913-021-06774-w
  • Cohen, D.J., Sweeney, Shannon M., Miller, William L., et al., Marino, Miguel (2021), Improving smoking and blood pressure outcomes: The interplay between operational changes and local context, The Annals of Family Medicine 19(3), 240-248, doi: 10.1370/afm.2668
  • Coury, J., Miech, E., Styer, P. et al. (2021), What’s the “secret sauce”? How implementation variation affects the success of colorectal cancer screening outreach, Implement Sci Commun 2, 5
  • Nunes, F.A.S.F. and Freitas, J.S. (2021), Combination of factors for the presence of the public: a look at the lower levels of football in Minas Gerais, Revista Intercontinental de Gestão Desportiva 11(e1122), 1-11, doi: 10.51995/2237-3373.v11i1e110022
  • Whitaker, R.G., Sperber, N., Baumgartner, M., et al. (2020), Coincidence Analysis: A New Method for Causal Inference in Implementation Science, Implementation Science 15, 108, doi: 10.1186/s13012-020-01070-3
  • Chebbi Nekhili, D. and Chakroun, H. (2021), Performance environnementale et performance financière: Le cas des entreprises françaises, La Revue des Sciences de Gestion (303-304), 95-104, doi: 10.3917/rsg.303.0099
  • Petrik, A., Green, B., Schneider, J. et al. (2020), Factors influencing implementation of a colorectal cancer screening improvement program in community health centers: an applied use of configurational comparative methods, Journal of General Internal Medicine, doi: 10.1007/s11606-020-06186-2
  • Hickman, S.E., Miech, E. et al. (2020), Identifying the Implementation Conditions Associated With Positive Outcomes in a Successful Nursing Facility Demonstration Project, The Gerontologist, doi: 10.1093/geront/gnaa041
  • Yakovchenko, V., Miech, E. et al. (2020), Strategy Configurations Directly Linked to Higher Hepatitis C Virus Treatment Starts. An Applied Use of Configurational Comparative Methods, Medical Care 58(5), e31-e38, doi: 10.1097/MLR.0000000000001319
  • Moret, W. and Lorenzetti, L. (2020), Realistic expectations: exploring the sustainability of graduation outcomes in a program for children affected by HIV in Kenya’s Northern Arid Lands, Vulnerable Children and Youth Studies, doi: 10.1080/17450128.2020.1738022
  • Haesebrouck, T. (2019), Who follows whom? A coincidence analysis of military action, public opinion and threats, Journal of Peace Research, doi: 10.1177/0022343319854787
  • Epple, R. and Schief, S. (2016), Fighting (for) gender equality: the roles of social movements and power resources, Interface 8(2), 394-432
  • Baumgartner, M. and Epple, R. (2014), A Coincidence Analysis of a Causal Chain: The Swiss Minaret Vote, Sociological Methods & Research 43, 280-312

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Conceptual

  • Ding, H. (2023), Qualitative Comparative Analysis: Search Target, Reflection on the Top-Down Approach, and Introduction of the Bottom-Up Approach, International Journal of Qualitative Methods 22, doi: 10.1177/16094069231182634
  • McGinty, E.E. et al. (2024), Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science, Prevention Science 25(S1), 96-108, doi: 10.1007/s11121-022-01427-8
  • Quintana, R. (2022), Embracing complexity in social science research, Quality & Quantity, doi: 10.1007/s11135-022-01349-1
  • Veri, F. and Barrowman, H. (2022), The added value of configurational meta-analyses, Swiss Political Science Review 28(1), 116-128, doi: 10.1111/spsr.12485
  • Rendle, K.A. and Beidas, R.S. (2021), Four strategic areas to advance equitable implementation of evidence-based practices in cancer care, Translational Behavioral Medicine 11(11), 1980-1988, doi: 10.1093/tbm/ibab105
  • Baumgartner, M. and Falk, C. (2023), Boolean Difference-Making: A Modern Regularity Theory of Causation, The British Journal for the Philosophy of Science 74(1), 171-197, doi: 10.1093/bjps/axz047
  • Baumgartner, M. (2015), Parsimony and Causality, Quality & Quantity 49(2), 839-856, doi: 10.1007/s11135-014-0026-7
  • Baumgartner, M. (2008), Regularity Theories Reassessed, Philosophia 36(3), 327-354, doi: 10.1007/s11406-007-9114-4

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Protocol

  • Fisher, E.R., Cragun, D., Dedrick, R.F., Lumpkins, C.Y., Ramírez, M., Kaphingst, K.A., Petersen, A., MacFarlane, I.M., Redlinger-Grosse, K., Shire, A., Culhane-Pera, K.A., and Zierhut, H.A. (2024), Linking genetic counseling communication skills to patient outcomes and experiences using a community-engagement and provider-engagement approach: research protocol for the GC-PRO mixed methods sequential explanatory study, BMJ Open 14(4), e085472, doi: 10.1136/bmjopen-2024-085472
  • Wang, R., Rouleau, G., Booth, G.L., Brazeau, A.-S., El-Dassouki, N., Taylor, M., Cafazzo, J.A., Greenberg, M., Nakhla, M., Shulman, R., and Desveaux, L. (2023), Understanding Whether and How a Digital Health Intervention Improves Transition Care for Emerging Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Realist Evaluation, JMIR Research Protocols 12, e46115, doi: 10.2196/46115
  • Roczniewska, M., Rogala, A., Marszałek, M., Hasson, H., Bakker, A.B., and von Thiele Schwarz, U. (2023), Job crafting interventions: what works, for whom, why, and in which contexts? Research protocol for a systematic review with coincidence analysis, Systematic Reviews 12(1), 10, doi: 10.1186/s13643-023-02170-z
  • Sperber, N.R., Cragun, D., Roberts, M.C., Bendz, L.M., Ince, P., Gonzales, S., Haga, S.B., Wu, R.R., Petry, N.J., Ramsey, L., and Uber, R. (2022), A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings, Journal of Personalized Medicine 12(8), 1313
  • Wasmuth, S., Belkiewitz, J., Bravata, D., Horsford, C., Harris, A., Smith, C., Austin, C., and Miech, E. (2022), Protocol for evaluating external facilitation as a strategy to nationally implement a novel stigma reduction training tool for healthcare providers, Implementation Science Communications 3(1), 88
  • Cragun, D., Beckstead, J., Farmer, M., Hooker, G., Dean, M., Matloff, E., Reid, S., Tezak, A., Weidner, A., Whisenant, J.G., and Pal, T. (2021), IMProving care After inherited Cancer Testing (IMPACT) study: protocol of a randomized trial evaluating the efficacy of two interventions designed to improve cancer risk management and family communication of genetic test results, BMC Cancer 21(1), 1099
  • Rogal, S.S., Yakovchenko, V., Morgan, T., Bajaj, J.S., Gonzalez, R., Park, A., Beste, L., Miech, E.J., et al. (2020), Getting to implementation: a protocol for a Hybrid III stepped wedge cluster randomized evaluation of using data-driven implementation strategies to improve cirrhosis care for Veterans, Implementation Science 15(1), 92
  • Rahm, A.K., Cragun, D., Hunter, J.E., Epstein, M.M., Lowery, J., Lu, C.Y., Pawloski, P.A., Sharaf, R.N., Liang, S.Y., Burnett-Hartman, A.N., Gudgeon, J.M., Hao, J., Snyder, S., Gogoi, R., Ladd, I., and Williams, M.S. (2018), Implementing universal Lynch syndrome screening (IMPULSS): protocol for a multi-site study to identify strategies to implement, adapt, and sustain genomic medicine programs in different organizational contexts, BMC Health Services Research 18(1), 824

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Book chapters

  • Brownson, R.C., Colditz, G.A., and Proctor, E.K., eds. (2023), Dissemination and Implementation Research in Health: Translating Science to Practice, 3rd ed., Oxford University Press, New York.
  • Cragun, D. (2020), Configurational Comparative Methods, in: Handbook on Implementation Science, eds. P. Nilsen & S. A. Birken, Northampton, MA: Edward Elgar Publishing, doi: 10.4337/9781788975995.00034

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PhD theses using or on CNA

  • Anna C. Quon, 2025 (Rush University), “Exploring factors associated with mammography screening among women with autism spectrum disorder and/or intellectual disabilities.”
  • Sarah Shaw, 2025 (University of Washington), “Moving Beyond Research Settings to Strengthen HIV Services: Determinants of Intervention Sustainability and Community-Generated Implementation Strategies.” link
  • Luna de Souter, 2025 (University of Bergen), “Defining and discovering causal regularities.”
  • Nattarinee Jittiang, 2025 (RMIT University), “What Drives Transition from Natural Rubber to Other Types of Farming in Thailand: An Exploratory Study.” link
  • Jennifer Gothilander, 2025 (Mälardalen University), “Exploring contexts for participation in daily and physical activities among adolescents with and without disabilities.” link
  • Lauren Niles, 2022 (Johns Hopkins University, Baltimore, MD), “Effectiveness of Maryland Opioid Treatment Program Response During the COVID-19 Pandemic and National Regulatory Exemption Period.” link
  • Claire Gwayi-Chore, 2022 (University of Washington, Seattle), “Scaling up deworming programs: implementation science approaches to guide the transition from school-based to community-wide mass drug administration for soil-transmitted helminths.” (This multi-method study included a CNA analysis to identify necessary and/or sufficient combinations of intervention delivery activities related to successful implementation of a community-wide public health intervention in three countries: Benin, India and Malawi.)
  • Sepheen Byron, 2022 (University of North Carolina – Chapel Hill), “State Medicaid Policy Levers Related to Successful Health Information Exchange Among Providers.”
  • Laysse Fernanda Macêdo dos Santos, 2022 (Universidade Federal de Minas Gerais, UFMG/Brazil), “O desenvolvimento da resiliência nas redes de suprimentos da administração pública: a perspectiva do capital social.” (ENG: “The development of resilience in public administration supply networks: the perspective of social capital”)
  • Kelly Coates, 2021 (Portland State), “Affecting Absenteeism Through School-Based Health Services Delivery: A Configurational Comparative Methods Study of Oregon’s Public Secondary Schools.” link (First standalone use of CNA in an applied analysis in any doctoral-level dissertation in any subject.)
  • Jessica Dodge, 2021 (USC), “Exploring the Social Determinants of Health in a Population with Similar Access to Healthcare: Experiences from United States Active-Duty Army Wives.” (First formal pairing of CNA and QCA in an applied analysis in any doctoral-level dissertation in any subject.)
  • Davi Pires Andrade Brescia, 2021 (Universidade Federal de Minas Gerais, UFMG/Brazil), “Respostas gerenciais a dilemas estratégicos: capturando políticas de decisão e suas fundações morais.” (ENG: “Managerial responses to strategic dilemmas: capturing decision-making policies and their moral foundations”)
  • Christoph Falk, 2020 (University of Geneva), “Konfigurationales kausales Modellieren. Ein theoretisches Fundament und Verfahren für Kausalanalysen mit crisp-set Konfigurationen.”
  • Bruno de Castro Rozenberg, 2020 (Universidade Federal de Minas Gerais, UFMG/Brazil), “Complexidade causal na seleção de startups para programas públicos de aceleração: uma abordagem configuracional comparativa.” (ENG: “Causal complexity in the selection of startups for public acceleration programs: a comparative configurational approach.”)
  • Felipe Alexandre de Souza Félix Nunes, 2020 (Universidade Federal de Minas Gerais, UFMG/Brazil), “Comportamento de não consumo de produtos dos patrocinadores de Cruzeiro e Atlético-MG pelos torcedores do clube rival.” (ENG: “Non-consumption of products from the sponsors of Cruzeiro and Atlético-MG by fans of the rival club”)
  • Rebecca Whitaker, 2019 (UNC-Chapel Hill), “A Study of Preventable Hospital Utilization Among Medicaid-Insured Pediatric Patients in North Carolina’s Federally Qualified Health Centers.” (First doctoral-level dissertation in the United States to prominently feature CNA in an applied analysis.)
  • Rui Fernando Correia Ferreira, 2018 (Universidade Federal de Minas Gerais, UFMG/Brazil), “Estratégia de influência: O ganho de vantagens competitivas de empresas em suas relações com o Estado.” (ENG: “Influence strategy: Gaining competitive advantages for companies in their relations with the State”)

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A Zotero Group Library on CNA provides more detailed bibliographic information.

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