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1. BROADENING THE PROBLEM SOLVING MEASURES: MOVING ONLINE

   Bostic, J. (January 2020, Proceedings of the Annual Meeting of theSchool Science & Mathematics Association .)

   null (Ed.)

   Bostic and colleagues (2015, 2017) explored the validity evidence for a problem- solving measure (PSM) series when administered in a paper - and - pencil format. Any modifications to a measure or the way it is presented that might impact the score interpretatio ns should be examined carefully. The purpose of this manuscript is to explore further development of the PSMs, specifically investigating an online version and fleshing out the validity argument needed to justify their use in online environments. 

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2. A Linguistic Strategy to Measure Negative Affective Polarization Through Text Content

   https://doi.org/10.1177/0261927X251338360  

   Garzón-Velandia, Diana_Camila; Pennebaker, James_W (May 2025, Journal of Language and Social Psychology)

   Three studies developed and validated a linguistic dictionary to measure negative affective polarization in English and Spanish political texts. It captures three dimensions: negative affect, delegitimization, and political context. In the first study, two independent judges evaluated the candidate words, and reliability indicators were calculated, showing acceptable values for short texts (.572 in English, .541 in Spanish) and higher values for larger corpora (.964 in English, .957 in Spanish). The second study tested discriminant validity by comparing negative affective polarization scores in social media comments on politics and entertainment. Results showed significantly higher polarization scores in political content, confirming the dictionary's validity. The third study compared the dictionary to an existing online polarization measure, finding greater coverage and alignment with the construct. Additionally, it was observed that polarization scores were higher in texts containing hate speech compared to those where it was absent. The findings suggest that the dictionary in both languages have strong psychometric properties, making it a valuable tool for analyzing online content, particularly social media comments. It can be used as an independent measure or as input for machine and deep learning models. 

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3. Examining the Structural Validity of the CD-RISC among Engineering Students

   Mr. Adurangba Victor Oje, Dr. Nathaniel (April 2020, Zone 1 Conference of the American Society for Engineering Education)

   null (Ed.)

   This work in progress study examines the structural validation of the Connor-Davidson Resilience Scale (CD-RISC). Resilience, an ability to respond positively to challenging situations, is an essential psychological attribute in responding to stressors. Students often encounter stressful situations that could influence their motivation to remain and succeed in an engineering degree. Developing and strengthening resiliency among engineering students is essential for their academic success in engineering. Participants included 150 undergraduate students enrolled in a foundational engineering course who completed an online survey of the resilience measure. A confirmatory factor analysis was performed to examine the structural validity evidence of the CD- RISC. Model fitness statistics based on CFI, TLI, RMSEA indicated that a five-factor model of the CD-RISC is acceptable. Convergent validity and discriminant evidence were examined using the AVE and MSV estimates. The analysis indicated some concerns with the validity evidence of the instrument. Implications of findings and future directions are discussed. 

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4. Work in Progress – Examining the Structural Validity of the CD-RISC Among Engineering Students

   Oje, A. V.; Hunsu, N.; Carnell, P. H.; Sochacka, N. W. (June 2019, ASEE annual conference)

   This work in progress study examines the structural validation of the Connor-Davidson Resilience Scale (CD-RISC). Resilience, an ability to respond positively to challenging situations, is an essential psychological attribute in responding to stressors. Students often encounter stressful situations that could influence their motivation to remain and succeed in an engineering degree. Developing and strengthening resiliency among engineering students is essential for their academic success in engineering. Participants included 150 undergraduate students enrolled in a foundational engineering course who completed an online survey of the resilience measure. A confirmatory factor analysis was performed to examine the structural validity evidence of the CDRISC. Model fitness statistics based on CFI, TLI, RMSEA indicated that a five-factor model of the CD-RISC is acceptable. Convergent validity and discriminant evidence were examined using the AVE and MSV estimates. The analysis indicated some concerns with the validity evidence of the instrument. Implications of findings and future directions are discussed. 

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5. EXPLORING AND EXAMINING QUANTITATIVE MEASURES

   Shih, J.; Bostic, J.; Carney, M.; Krupa, E. (October 2017, Psychology of Mathematics Education North America)

   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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