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Exploring Behavioral and Affective Correlates of Comprehensible Second Language Speech
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In: World Languages and Cultures Publications (2021)
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Revisiting Perception–Production Relationships: Exploring a New Approach to Investigate Perception as a Time‐Varying Predictor
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In: World Languages and Cultures Publications (2020)
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Expanding the scope of L2 intelligibility research
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In: World Languages and Cultures Publications (2020)
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Second language comprehensibility as a dynamic construct
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In: World Languages and Cultures Publications (2020)
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Toward a dynamic view of second language comprehensibility
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In: World Languages and Cultures Publications (2019)
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8 |
Examining Predictors of Phonetic Variation in Semi-spontaneous L2 Spanish Speech
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In: World Languages and Cultures Conference Papers, Posters and Proceedings (2019)
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Developing and validating a methodology for crowdsourcing L2 speech ratings in Amazon Mechanical Turk
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In: World Languages and Cultures Publications (2019)
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Examining the temporal structure of the perception-production link in SLA: A longitudinal study
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In: World Languages and Cultures Publications (2018)
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Motivation, Comprehensibility, and Accentedness in L2 Spanish: Investigating Motivation as a Time-Varying Predictor of Pronunciation Development
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In: World Languages and Cultures Publications (2018)
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An Introduction to Fitting and Evaluating Mixed-effects Models in R
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In: World Languages and Cultures Conference Papers, Posters and Proceedings (2018)
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Abstract:
Mixed-effects modeling is a multidimensional statistical analysis capable of modeling complex relationships between predictor and outcome variables while accounting for random variance in various dimensions of the data. Although this technique is gaining popularity in applied linguistics research, learning how to model, and how to do so in R, can be intimidating. This guide provides an introduction to fitting mixed-effects models in R (Version 3.5.3) using RStudio. It includes a written introduction describing the modeling process, a video tutorial that focuses on getting started in RStudio, a sample data set, and an R script containing code to analyze the data. By the end of this introduction, researchers should have developed a basic understanding of the modeling process and should be able to (1) read data into R and inspect its structure, (2) create a series of plots to visualize trends and/or primary variables, and (3) fit and evaluate models.
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Keyword:
Data Storage Systems; Digital Humanities; English Language and Literature; Risk Analysis; Speech and Rhetorical Studies
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URL: https://lib.dr.iastate.edu/language_conf/11 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1011&context=language_conf
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Pronunciationforteachers.com/ Key Concepts Factors Affecting Pronunciation Development
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In: World Languages and Cultures Publications (2018)
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Perception, Production, and Perception-Production: Research findings and implications for language pedagogy
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In: World Languages and Cultures Publications (2018)
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Exploring the Intersection Between Teachers’ Beliefs and Research Findings in Pronunciation Instruction
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In: World Languages and Cultures Publications (2018)
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Exploring the Intersection Between Teachers’ Beliefs and Research Findings in Pronunciation Instruction
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In: World Languages and Cultures Publications (2018)
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Individual developmental trajectories in the L2 acquisition of Spanish spirantization
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In: World Languages and Cultures Publications (2017)
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Modeling Classroom Language Learners' Comprehensibility and Accentedness Over Time: The Case of L2 Spanish
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In: World Languages and Cultures Conference Papers, Posters and Proceedings (2017)
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A Longitudinal Study of Voice Onset Time Development in L2 Spanish Stops
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In: World Languages and Cultures Publications (2017)
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Disentangling Research on Study Abroad and Pronunciation: Methodological and Programmatic Considerations
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In: World Languages and Cultures Publications (2016)
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