How do Users Evaluate Service Quality of the Dockless Bicycle Sharing System?

In order to improve the public transit’s accessibility and promote service quality of the public transit,it is necessary to alleviate the“last⁃mile”problem.The combination of the public transit and bicycle⁃sharing system is competitive compared with the private car.In 2016,the dockless bicycle⁃sharing system has been undergoing tremendous development.Because the dockless bicycle⁃sharing system is different from previous bicycle⁃sharing systems,components of service quality of the dockless bicycle⁃sharing system differ.However,there are few articles about the service quality of the dockless bicycle⁃sharing system.This paper examined the evaluation of service quality of the dockless bicycle⁃sharing system along with a measurement of users’satisfaction.A questionnaire about service quality was designed,which includes 15 factors.Through the analysis of travelers’evaluation of factors of the dockless bicycle⁃sharing system with Rasch Model,these original ordinal data(Likert data)was transformed to the interval data:the person parameter(ability)and the item parameter(difficulty).Through the analysis of interviewees’abilities,it was found that only education and monthly consumption have significant influence on interviewees’evaluation of service quality of the dockless bicycle⁃sharing system,while there is no significant influence of gender,weekly use of dockless shared⁃bicycle,private car ownership,or monthly income on the evaluation.Furthermore,it was found that users were dissatisfied with cycling under the adverse weather,disturbance from pedestrians and cars,continuity of the bicycle lane,complaint channel,and staff service the most.

Chinese University Students’Self-evaluation in Core Competences for the 21st Century

This study aimed to explore university students’perceptions on the possession of core competencies for the 21st century.A crosssectional survey research using a self-report questionnaire involving 40 Likert-type items was used to collect data from 5,042 university students in China who voluntarily participated.Analysis with Rasch rating scale model found the data fitted the Rasch model well.The results showed that Chinese university students considered themselves as having acquired most of the competencies to some extent,especially in Character and Civic Literacy and Interpersonal Communication,but less so in Global and International Perspective and Creativity and Problem Solving.

STUDY OF SOURCES OF SCORE VARIABILITY IN PERFORMANCE ASSESSMENT USING MFRM:A CASE OF SPEAKING TEST IN PETS BAND3

As direct measure of learners' communicative language ability, performance assessment (typically writing and speaking assessment) claims construct validity and a strong power for predictive utility of test scores. However, it is also of common concern that the subjectivity of rating process and the potential unfairness for test takers who encounter different writing prompts and speaking tasks would constitute threats to reliability and validity of test scores, especially in those large-scale and high-stakes tests. Therefore, appropriate means for quality control of subjective scoring should be held essential in test administration and validation. Based upon raw scores from one administration of speaking test in PETS Band3 held in Hangzhou, the present study investigates and models possible sources of score variability within the framework of Many-Facet Rasch Model (MFRM). MFRM conceptualizes the possibility of a examinee being awarded a certain score as a function of several facets — examinee ability, rater severity, domain difficulty and step difficulty between the adjacent score categories and provides estimates of the extent to which the examinee's test score is influenced by those facets. Model construction and data analysis was carried out in FACETS Version 3.58, computer program for conducting MFRM analysis. The results demonstrate statistically significant differences within each facet. Despite the generally acceptable rater consistency across examinees and rating domains, fit statistics indicate some unexpected rating patterns in certain raters such as inconsistency and central tendency, to be avoided through future rater training. Fair scores for each examinee are also provided, minimizing the variability due to facets other than examinees' ability. MFRM manifests itself as effective in detecting whether each test method facet functions as intended in performance assessment and providing useful feedback for quality control of subjective scoring.