This paper examines bicyclist injury severity in bicycle-motor vehicle crashes using the 2012 Texas Department of Transportation (TxDOT) Crash Records Information System (CRIS). Three different modeling frameworks are used: a binary logit, an ordered logit, and a multinomial logit model framework. All bike-motor crashes that involved a single motor vehicle and a single bicyclist are included. Three data sub-sets are examined to identify bike-motor crash risk factors and injury severity levels. These include all bike-motor vehicle crash data, only intersection related crashes and only non-intersection related crashes. Model results indicate that the common factors that affect all crashes include bicyclist and motor vehicle driver demographic characteristics, land use characteristics of the crash location, motor vehicle body type, and roadway speed limit. Motor vehicle driver age (age < 35 years), alcohol intoxication, and bicyclist age (age > 60 years) have larger effects on the bicyclist injury severity for intersection related crashes. Roadway speed (speed > 50 mph), road geometry (horizontal curve), and time of day have greater effects on bicyclist injury severity for non-intersection related crashes. Results of this study can help educate road users, improve traffic regulations, and also suggest roadway safety feature designs to enhance safety.