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Denny Meyer, Madawa W. Jayawar, Samuel Muir, David Ho, and Olivia Sackett

missing data are addressed using inverse probability weights and hierarchical linear models fitted using maximum likelihood procedures. In the qualitative analysis, we use text mining to analyze the results of an open-ended description of the VPGC program, and then, using machine-learning tools, we

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Nicholas P. Davidson, James Du, and Michael D. Giardina

WWE’s latest video game release (#WWE2k20 and #Gaming). Figure 1 —Text-mining results of Twitter contents. Figure  2 displays the results of a sentiment analysis, measuring the extent to which the eight emotional themes (i.e., anger, anticipation, disgust, fear, joy, sadness, surprise, and trust

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Stephen Harvey and Brendon Hyndman

this current study to support the findings from the open-ended questions asked in the final section of the survey. Qualitative data The Leximancer text mining software was utilized to assist researchers in analyzing data generated from the final section of the survey about why the PE professionals used

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Stephen Harvey, Obidiah Atkinson, and Brendon P. Hyndman

Purpose: To investigate sports coaches’ Twitter use. Methods: Coaches (N = 310) from 22 countries and a range of sports completed an online survey. Quantitative survey data were analyzed descriptively and triangulated with qualitative data using Leximancer (Brisbane, Queensland, Australia) text mining software. Results: Most participants reported using Twitter for ≥3 years and accessed the platform multiple times per day. More than half participants agreed that using Twitter had positively impacted both their own confidence as a coach and their athletes/players/team’s performance. The strongest overall themes from the qualitative data revealed that Twitter helped sports coaches improve their practices through the sharing of information, connecting with other coaches, and building positivity into their interactions when supporting players. Discussion/Conclusion: Sports coaches perceive Twitter to be a highly valuable platform to network, collaborate, gain access to information, and share ideas and resources.

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Sophia Nimphius

version of topic modeling, a text-mining term-frequency analysis, provides initial insight and reflection on what our words say about the research we’ve done and the research still left to do. Figure 1 —A lollipop plot of the 20 most frequent words used in titles in IJSPP over the entire history of the

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Elaine Chiao Ling Yang, Michelle Hayes, Jinyan Chen, Caroline Riot, and Catheryn Khoo-Lattimore

). NoSQL refers to “not only Structured Query Language (SQL),” which supports not only relational data but also unstructured data, such as the unstructured Twitter data in this study. MongoDB uses a rich declarative query language to perform text mining, which facilitates the extraction of useful data

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Chelsee A. Shortt, Collin A. Webster, Richard J. Keegan, Cate A. Egan, and Ali S. Brian

#page=224 Hyndman , B. , & Pill , S. ( 2017 ). What’s in a concept? A Leximancer text mining analysis of physical literacy across the international literature . European Physical Education Review, 24 , 292 – 313 . doi:10.1177/1356336X17690312 10.1177/1356336X17690312 Jurbala , P. ( 2015 ). What

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Brendon P. Hyndman and Stephen Harvey

.2014.24029 Hyndman , B. ( 2018 ). Ten reasons why teachers can struggle to use technology in the classroom . Science Education News, 67 ( 4 ), 41 – 42 . Hyndman , B. , & Pill , S. ( 2018 ). What’s in a concept? A Leximancer text mining analysis of physical literacy across the international

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Daniel B. Robinson, Lynn Randall, and Joe Barrett

, Canada : Author . Retrieved from https://www.ednet.ns.ca/files/curriculum/physed_4-6_streamlined.pdf Hyndman , B. , & Pill , S. ( 2017 ). What’s in a concept? A leximancer text mining analysis of physical literacy across the international literature . Advance online publication. European Physical

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James Mandigo, Ken Lodewyk, and Jay Tredway

. ( 2017 ). What’s in a concept? A Leximancer text mining analysis of physical literacy across the international literature . European Physical Education Review, 20 , 1 – 22 . IBM Corp . ( 2016 ). IBM SPSS statistics for windows, Version 24.0 . Armonk, NY : IBM Corp . International Physical