Rasch Analysis in Understanding Mathematics Anxiety

Mendoza, Jared Jorim O.; Reyes, James Roldan S.; Grajo, Joyce D. L.

doi:10.17485/ijst/2019/v12i7/142081

Cited by 1 publication

(1 citation statement)

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“…More recent approaches to psychometric measurement have been adopted (Banerji et al 1997;Pallant and Tennant 2007;Mahmud et al 2013;Hagquist and Andrich 2017;Mendoza et al 2019), particularly those associated with the Rasch measurement model (Rasch 1960). The Rasch measurement provides a common metric used to express results regardless of the construct being measured or the instrument being used.…”

Section: Rasch Analysismentioning

confidence: 99%

Assessment of Filipino Higher Education Students’ Readiness for e-Learning during a Pandemic: a Rasch Technique Application

Reyes¹,

Grajo²

2021

Philipp J Sci

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This paper investigated the level of e-learning readiness of Filipino higher education students in the midst of the Coronavirus Disease 2019 (COVID-19) pandemic. Although e-learning is not new in the Philippines, its enforced adoption nationwide as a measure to keep education going must be studied, given the general uncertainty in student readiness. Using Rasch analysis – specifically, the Andrich rating scale model (ARSM) for item response theory – results showed that student readiness for e-learning is a multidimensional metric that is consistent with many claims. Filipino students are ready in terms of computer/internet self-efficacy; however, they are not ready in terms of learner control. The differential item functioning (DIF) analysis showed that gender significantly differentiates e-learning readiness under learner control and self-directed learning. Meanwhile, program classifications have significant differences in responses under computer/internet self-efficacy and online communication self-efficacy. This paper reveals the importance of determining student readiness for e-learning in the midst of a difficult situation – a pandemic.

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Section: Rasch Analysismentioning

confidence: 99%