2022
DOI: 10.20414/betajtm.v15i2.549
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The construct validity of mathematical reasoning and proof test instrument integrated with GeoGebra: Second-order confirmatory factor analysis

Abstract: [English]: Mathematical reasoning and proof instruments assess students' reasoning in solving proof problems. The importance of reasoning and proof in mathematics is documented in skills that students need to be developed in several curricula. However, there are some issues in the assessment of mathematical reasoning and proof in Indonesia. One of them is no instruments that meet construct validity. The existing instruments only confirm the teacher's interpretation by focusing on mathematical problems that mea… Show more

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Cited by 2 publications
(2 citation statements)
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“…Following the rotation, five latent factors were extracted based on the criteria of an eigenvalue greater than 1.0 and factor loading greater than 0.50. These criteria are considered acceptable for establishing construct validity [ 54 ]. In the final version of the scale, students' online course learning state was assessed by five components: lack of learning motivation (5 items, with factor loadings ranging from 0.515 to 0.829, and all factor loadings were significant at p < .001; α = 0.879), separation from instructors (4 items, with factor loadings ranging from 0.599 to 0.768, and all factor loadings were significant at p < .001; α = 0.858), separation from peers (3 items, with the factor loadings ranging from 0.632 to 0.761, and all factor loadings were significant at p < .001; α = 0.852), technological challenges (6 items, with factor loadings ranging from 0.510 to 0.742, and all factor loadings were significant at p < .001; α = 0.866), lack of two-way communication (6 items, with factor loadings ranging from 0.579 to 0.819, and all factor loadings were significant at p < .001; α = 0.959) (see Table 5 , Table 6 ).…”
Section: Resultsmentioning
confidence: 99%
“…Following the rotation, five latent factors were extracted based on the criteria of an eigenvalue greater than 1.0 and factor loading greater than 0.50. These criteria are considered acceptable for establishing construct validity [ 54 ]. In the final version of the scale, students' online course learning state was assessed by five components: lack of learning motivation (5 items, with factor loadings ranging from 0.515 to 0.829, and all factor loadings were significant at p < .001; α = 0.879), separation from instructors (4 items, with factor loadings ranging from 0.599 to 0.768, and all factor loadings were significant at p < .001; α = 0.858), separation from peers (3 items, with the factor loadings ranging from 0.632 to 0.761, and all factor loadings were significant at p < .001; α = 0.852), technological challenges (6 items, with factor loadings ranging from 0.510 to 0.742, and all factor loadings were significant at p < .001; α = 0.866), lack of two-way communication (6 items, with factor loadings ranging from 0.579 to 0.819, and all factor loadings were significant at p < .001; α = 0.959) (see Table 5 , Table 6 ).…”
Section: Resultsmentioning
confidence: 99%
“…Alwast and Vorhölter (2022) also investigate the development of video-based instruments to ascertain teacher competence in the context of mathematical modeling. Sari et al (2022) then developed and determined construct validity for mathematical reasoning and proof instruments. Several recent studies on confirmatory factor analysis confirm that this statistical technique is beneficial in assessing factors or testing instruments.…”
Section: Introductionmentioning
confidence: 99%