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  1. Lischka, A. E. ; Dyer, E. B. ; Jones, R. S. ; Lovett, J. ; Strayer, J ; Drown, S. (Ed.)
  2. Fernandez, C. ; Llinares, S. ; Gutierrez, A. ; Planas, N. (Ed.)
  3. Olanoff, D. ; Johnson, K. ; Spitzer, S. M. (Ed.)
    Mathematics education needs measures that can be used to research and/or evaluate the impact of professional development for constructs that are broadly relevant to the field. To address this need we developed the Priorities for Mathematics Instruction (PMI) survey consisting of two scales focused on the constructs of Explicit Attention to Concepts (EAC) and Student Opportunities to Struggle (SOS) – which have been linked to increased student understanding and achievement. We identified the most critical assumptions that underlie the proposed interpretation and use of the scale scores and then examined the related validity evidence. We found the evidence for each assumption supports the proposed interpretation and use of the scale scores. 
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  4. This paper provides a brief introduction to the set of four manuscripts in the special issue. To provide a foundation for the issue, key terms are defined, a brief historical overview of validity is provided, and a description of several different validation approaches used in the issue are explained. Finally, the contribution of the manuscripts to further articulating argument-based validation approaches is discussed, along with questions for the field to consider. 
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  5. The purpose of this working group is to continue to bring together scholars with an interest in examining the use of and access to large-scale quantitative tools used to measure student- and teacher-related outcomes in mathematics education. The working group session will focus on (1) updating the workgroup on the progress made since the first working group at PME-NA in Tucson, Arizona, specifically focusing on the outcomes of the Validity Evidence for Measurement in Mathematics Education conference that took place in April, 2017, in San Antonio, (2) continued development of a document of available tools and their associated validity evidence, and (3) identification of potential follow-up activities to continue this work. The efforts of the group will be summarized and extended through both social media tools and online collaboration tools to further promote this work. 
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  6. As early as Descartes (1637/1970), logic and reason have been positioned as tools for individuals to advance their own understanding. By contrast, argumentation is an interactive, social exercise used for persuasion, collective cognition, and to advance shared knowledge (Mercier & Sperber, 2011, 2017). When one advances an argument, subjects it to the tests and challenges of others, and responds to questions and counterarguments, one’s thinking improves (Mercier & Sperber, 2017). Through argumentation, groups produce correct solutions more often than individuals (Moshman & Geil, 1998) and individual accuracy improves as well (Castelain, Girotto, Jamet, & Mercier, 2016). Since it was formally introduced by Kane (1990, 1992), the argument-based approach to validation has been promoted in the field of educational and psychological measurement as the preferred method for validating interpretations and uses of test scores (AERA, APA, & NCME, 2014; Kane, 2013; Schilling & Hill, 2007). Scholars continue to debate the best approaches for developing and supporting validity arguments, however (for examples, see Brennan, 2013; Kane, 2007). 
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  7. Gravitational waves provide a unique tool for observational astronomy. While the first LIGO–Virgo catalogue of gravitational wave transients (GWTC-1) contains 11 signals from black hole and neutron star binaries, the number of observations is increasing rapidly as detector sensitivity improves. To extract information from the observed signals, it is imperative to have fast, flexible, and scalable inference techniques. In a previous paper, we introduced BILBY: a modular and user-friendly Bayesian inference library adapted to address the needs of gravitational-wave inference. In this work, we demonstrate that BILBY produces reliable results for simulated gravitational-wave signals from compact binary mergers, and verify that it accurately reproduces results reported for the 11 GWTC-1 signals. Additionally, we provide configuration and output files for all analyses to allow for easy reproduction, modification, and future use. This work establishes that BILBY is primed and ready to analyse the rapidly growing population of compact binary coalescence gravitational-wave signals. 
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  8. Free, publicly-accessible full text available January 1, 2025
  9. Free, publicly-accessible full text available December 1, 2024