Victoria University

Validating Listening Strategies Using Ordinal Response Models

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dc.contributor.advisor Liu, Ivy
dc.contributor.advisor Kwon, Young-Min (Brian) 2016-11-30T20:18:36Z 2016-11-30T20:18:36Z 2016 2016
dc.description.abstract This thesis illustrates statistical methodology for identifying the effects of explanatory variables, for the response variables with an ordinal nature. The dataset applied to this methodology is a Listening Strategy dataset collected by The Language Learner Strategy Team at the National Institute of Education from Singapore. In this dataset, eight strategies were formed from 38 questions based on Linguistic theory. The core objective of this thesis is to validate whether 38 questions were aggregated appropriately. We use the proportional odds model, which is the most popular for ordinal responses, and the generalised estimating equations (GEE) method to analyse repeated measurements. Although there are several ways to analyse repeated categorical responses, this thesis only demonstrates the marginal approach using the GEE method. By fitting proportional odds models, we evaluate whether student’s English Language test result associated with the questions are at the same level within each strategy. Results show that the English Language test result effects for the questions associated with Self-initiation, Planning, Monitoring and Evaluating, Prediction and Utilisation strategies are similar. On the other hand, the effects for the questions associated with Perceptual processing, Inferencing and Socio-affective strategies are significantly different. We also use a simulation study to show that when the ordinal response is treated as continuous, ordinary least square regression might have misleading results. en_NZ
dc.language.iso en_NZ
dc.publisher Victoria University of Wellington en_NZ
dc.subject Ordinal en_NZ
dc.subject Listening Strategies en_NZ
dc.subject Proportional Odds Model en_NZ
dc.title Validating Listening Strategies Using Ordinal Response Models en_NZ
dc.type text en_NZ
vuwschema.contributor.unit School of Mathematics, Statistics and Operations Research en_NZ
vuwschema.type.vuw Awarded Research Masters Thesis en_NZ Statistics and Operations Research en_NZ Victoria University of Wellington en_NZ Masters en_NZ Master of Science en_NZ
dc.rights.license Creative Commons GNU GPL en_NZ
dc.rights.license Allow modifications en_NZ
dc.rights.license Allow commercial use en_NZ 2016-11-11T03:39:17Z
vuwschema.subject.anzsrcfor 010401 Applied Statistics en_NZ
vuwschema.subject.anzsrctoa 3 APPLIED RESEARCH en_NZ

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