2020
DOI: 10.1016/j.lindif.2020.101822
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Elementary absenteeism over time: A latent class growth analysis predicting fifth and eighth grade outcomes

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Cited by 16 publications
(11 citation statements)
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“…Furthermore, a recent latent class growth analysis identified four distinct classes of absenteeism trajectories over time: low, high, decreasing, and increasing absenteeism. The first three of these (accounting for 78% of students) were highly stable from 1 st Grade onwards (equivalent to Year 2 in England), and the fourth was stable from 3 rd Grade onwards (Year 4 in England) (Simon et al, 2020). However, we are aware of no research that has explored the stability of authorized and unauthorized absence separately, and the findings presented here suggest that stability over time may be different for different types of absence.…”
Section: Within-person Temporal Stabilitymentioning
confidence: 66%
See 1 more Smart Citation
“…Furthermore, a recent latent class growth analysis identified four distinct classes of absenteeism trajectories over time: low, high, decreasing, and increasing absenteeism. The first three of these (accounting for 78% of students) were highly stable from 1 st Grade onwards (equivalent to Year 2 in England), and the fourth was stable from 3 rd Grade onwards (Year 4 in England) (Simon et al, 2020). However, we are aware of no research that has explored the stability of authorized and unauthorized absence separately, and the findings presented here suggest that stability over time may be different for different types of absence.…”
Section: Within-person Temporal Stabilitymentioning
confidence: 66%
“…anxiety-based non-attendance) (Egger et al, 2003;Finning et al, 2020;Gubbels et al, 2019;Jones et al, 2009;Lereya et al, 2019;Vaughn et al, 2013). School is a central context for children's social, emotional and cognitive development, and attendance problems can negatively affect academic achievement while also increasing the risk of school dropout, drug and alcohol abuse, and adult unemployment (Attwood & Croll, 2014;Christle et al, 2007;Hancock et al, 2013;Henry & Huizinga, 2007;Simon et al, 2020).…”
mentioning
confidence: 99%
“…Yet many of them decreased meaningfully in magnitude, and those that decreased the most or changed to statistically insignificant were socioeconomic indicators such as economic disadvantage and residential vacancy. Given these results, attendance patterns may relate to and result in proximal processes that have compounding effects over time (Simon et al, 2020). Alternatively, or in addition, students who are the most persistently chronically absent may also face greater socioeconomic barriers to attendance.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, time plays a role as well: Attendance patterns vary not only by time within a single day (Whitney & Liu, 2016), but also by grade level, and they can be impacted by grade-level transitions (Balfanz & Byrnes, 2012;Bealing, 1990). The timing of a student's absences during the school year may have different consequences (Gottfried & Kirksey, 2017), and absenteeism itself may have compounding effects over time (Ansari & Gottfried, 2021;London et al, 2016;Simon et al, 2020). Finally, the effects of the process, person, and context factors described earlier can change over time as students develop and as their life circumstances change or remain the same.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Truancy is the first and best indicator that a student is headed for trouble [4,24,25]. Truancy affects student achievement, including poor performance on standardized tests [26,27], and can result in students dropping out of high school [20,28]. The authors [28] proposed that in order to decrease truancy and student dropout rates, all states need to increase their minimum school-leaving age to 18.…”
Section: Truancy and Get-tough Policiesmentioning
confidence: 99%