An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles
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DOI: 10.1007/s11116-018-9945-9
Abstract: Surveys of behavior could benefit from information about people’s relative ranking of choice alternatives. Rank ordered data are often collected in stated preference surveys where respondents are asked to rank hypothetical alternatives (rather than choose… read more here.
Keywords: methodology; probit modeling; rank ordered; ordered probit ... See more keywords
Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions
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DOI: 10.1016/j.amar.2018.03.003
Abstract: Abstract Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013 in the state of Washington, the injury severity level of the most severely injured vehicle occupant is studied using two latent class… read more here.
Keywords: class; segment; latent class; ordered probit ... See more keywords
A multilevel generalized ordered probit fractional split model for analyzing vehicle speed
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DOI: 10.1016/j.amar.2018.12.001
Abstract: Vehicle operating speed plays a significant role in many fields of transportation engineering including safety, operation, design and management. The current research effort contributes to literature on examining vehicle speed on arterial roads methodologically and… read more here.
Keywords: speed; ordered probit; generalized ordered; model ... See more keywords
Pesticide use in vegetable crops in Pakistan: Insights through an ordered probit model
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DOI: 10.1016/j.cropro.2017.05.004
Abstract: Abstract Pesticide application issues are a major concern in farmers' production practices, but little is known about the knowledge levels and the behaviour of farmers when handling pesticides. Farmers' knowledge of pesticide use practices and… read more here.
Keywords: use; pesticide; ordered probit; probit model ... See more keywords
Analyzing ordinal data with metric models: What could possibly go wrong?
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DOI: 10.1016/j.jesp.2018.08.009
Abstract: Abstract We surveyed all articles in the Journal of Personality and Social Psychology (JPSP), Psychological Science (PS), and the Journal of Experimental Psychology: General (JEP:G) that mentioned the term “Likert,” and found that 100% of… read more here.
Keywords: ordinal data; metric models; ordered probit; data metric ... See more keywords
Determinants and implications of crop production loss:: An empirical exploration using ordered probit analysis
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DOI: 10.1016/j.landusepol.2017.06.021
Abstract: Abstract This study investigates farmers’ perception about the severity of loss for three rice crops, identifies their determinants and explores policy implications based on findings. This research employs an ordered probit model to data collected… read more here.
Keywords: policy; rice; production loss; ordered probit ... See more keywords
A model averaging approach for the ordered probit and nested logit models with applications
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DOI: 10.1080/02664763.2018.1450367
Abstract: ABSTRACT This paper considers model averaging for the ordered probit and nested logit models, which are widely used in empirical research. Within the frameworks of these models, we examine a range of model averaging methods,… read more here.
Keywords: model averaging; probit nested; logit models; model ... See more keywords
Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model
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DOI: 10.3390/ijerph16142632
Abstract: The existing studies on drivers’ injury severity include numerous statistical models that assess potential factors affecting the level of injury. These models should address specific concerns tailored to different crash characteristics. For rear-end crashes, potential… read more here.
Keywords: injury severity; ordered probit; two drivers; rear end ... See more keywords