2018
DOI: 10.1002/jee.20184
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Development of the Engineering Student Integration Instrument: Rethinking Measures of Integration

Abstract: Background There is a need for engineering‐specific theories and constructs to advance our understanding of student development. Student integration, widely used in educational research, is a suitable construct; however, it has also received some criticism. These critiques can be addressed by rethinking student integration and its use in the context of engineering education. Purpose/Hypothesis This article re‐conceptualizes student integration and describes the development of the Engineering Student Integratio… Show more

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Cited by 29 publications
(27 citation statements)
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References 53 publications
(94 reference statements)
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“…In order to investigate the validity of the AFCCQ, the dataset was split randomly in half ( n = 192 for each half) and an EFA was conducted using the first half of the data and a CFA on the second half. This approach is used to investigate validity from a single survey administration, especially when the sample is large enough so that resulting subsets represent enough observations to run multiple rounds of factor analyses [ 36 , 37 , 38 ].…”
Section: Methodsmentioning
confidence: 99%
“…In order to investigate the validity of the AFCCQ, the dataset was split randomly in half ( n = 192 for each half) and an EFA was conducted using the first half of the data and a CFA on the second half. This approach is used to investigate validity from a single survey administration, especially when the sample is large enough so that resulting subsets represent enough observations to run multiple rounds of factor analyses [ 36 , 37 , 38 ].…”
Section: Methodsmentioning
confidence: 99%
“…The normality of the belongingness items were checked to ensure that the data did not severely violate assumptions about normality (|skew|>2 and kurtosis>7) (Johnson, Tietjen, and Beckmand, 1980). Any items that did not fit these requirements were removed from further analysis (Lee, Godwin, and Hermundstad, 2018). As part of a larger study, a Confirmatory Factor Analysis will be done to confirm that the model of factors from the entire survey behaves in the manner expected, which requires an assumption of a normal distribution (DeVellis, 2012).…”
Section: Quantitative Data Analysismentioning
confidence: 99%
“…In addition to considering skill development outcomes, many researchers have investigated the role of involvement in providing students with networks of support and a sense of belonging, which are critical to their persistence and professional identification [8], [38], [39]. Involvement has been shown to support students' persistence in engineering by supporting sense of belonging [8], supporting goals and integration [47], [48], and helping develop emergent resistant capital toward success in engineering [7]. Additionally, experiential learning through student organization involvement can introduce students to the engineering profession prior to full-time employment and help these students formulate career plans and prepare for their transition to the workforce [10], [11].…”
Section: Professional Development Outcomes Associated With Student Ormentioning
confidence: 99%