Analysis of mixed outcomes in econometrics

2013 ◽  
pp. 157-172
Author(s):  
David Zimmer
Keyword(s):  
Mixed Outcomes

scholarly journals Bayesian multivariate growth curve latent class models for mixed outcomes

2012 ◽  
Vol 33 (20) ◽  
pp. 3434-3452 ◽  
Author(s):  
Benjamin E. Leiby ◽  
Thomas R. Ten Have ◽  
Kevin G. Lynch ◽  
Mary D. Sammel
Keyword(s):  
Growth Curve ◽  
Latent Class ◽  
Latent Class Models ◽  
Mixed Outcomes ◽  
Class Models

scholarly journals Thematic Co-occurrence Analysis: Advancing a Theory and Qualitative Method to Illuminate Ambivalent Experiences

2021 ◽  
Vol 71 (4) ◽  
pp. 545-571
Author(s):  
Kristina M Scharp
Keyword(s):  
Qualitative Methods ◽  
Qualitative Method ◽  
The Future ◽  
Mixed Outcomes

Abstract Ambivalence is a phenomenon that transcends disciplinary divides and is associated with a myriad of mixed outcomes. Yet, identifying and representing the complexities of ambivalent experiences can be difficult using traditional qualitative methods. Thus, the goal of the present study was to advance a qualitative method, thematic co-occurrence analysis, to address this issue. To illustrate the usefulness of this method, I present a case study detailing 35 estranged adult children’s ambivalent responses and reactions to their parents’ (non)contact during the COVID-19 pandemic. Findings reveal seven themes and four (non)relationships between them that reflect (a) theme independence, (b) unilateral co-occurrence, (c) unbalanced co-occurrence, and (d) complementary co-occurrence. These findings advance a theory of ambivalence and corresponding method to aid in the future investigations of ambivalent phenomena.

Mixed Outcomes

2006 ◽  
Author(s):  
Geert Molenberghs ◽  
Helena Geys
Keyword(s):  
Mixed Outcomes

Latent Transition Regression for Mixed Outcomes

Biometrics ◽  
2003 ◽  
Vol 59 (3) ◽  
pp. 710-720 ◽  
Author(s):  
Diana L. Miglioretti
Keyword(s):  
Latent Transition ◽  
Mixed Outcomes
Sign in / Sign up

Export Citation Format

Share Document