Validation of longitudinal achievement constructs of vertically scaled computerised adaptive tests: a multiple-indicator, latent-growth modelling approach
The current investigative study uses a multiple-indicator, latent-growth modelling (MLGM) approach to examine the longitudinal achievement construct and its invariance for MAP Growth.
By: Shudong Wang, Hong Jiao, Liru Zhang
This study examined the utility of response time-based analyses in understanding the behavior of unmotivated test takers. For an adaptive achievement test, patterns of observed rapid-guessing behavior and item response accuracy were compared to the behavior expected under several types of models that have been proposed to represent unmotivated test taking behavior.
The effective use of student and school descriptive indicators of learning progress: From the conditional growth index to the learning productivity measurement system
Modeling student growth has been a federal policy requirement under No Child Left Behind (NCLB). In addition to tracking student growth, the latest Race To The Top (RTTP) federal education policy stipulates the evaluation of teacher effectiveness from the perspective of added value that teachers contribute to student learning and growth. Student growth modeling and teacher value-added modeling are complex.
By: Yeow Meng Thum
This study examined developmental trends in academic achievement gaps between poverty and race/ethnicity groups from school entry to middle school using two large longitudinal data sets. We used time-varying effect modeling (TVEM) to estimate how the associations among race/ethnicity, poverty status, and math and reading achievement vary across continuous age from age 5 to age 15.
By: Megan Kuhfeld, Elizabeth Gershoff, Katherine Paschall
his study describes a convergent validity analysis of the SEDA growth estimates in mathematics and English Language Arts (ELA) by comparing the SEDA estimates against estimates derived from NWEA’s MAP Growth assessments.
By: Megan Kuhfeld, Thurston Domina, Paul Hanselman
Schools are increasingly held accountable for their contributions to students’ academic growth in math and reading. Under The Every Student Succeeds Act, most states are estimating how much schools improve student achievement over time and using those growth metrics to identify the bottom 5% of schools for remediation.
Modeling academic achievement and self-efficacy as joint developmental processes: Evidence for education, counseling, and policy
In this study, repeated measures of math achievement and self-efficacy are used to fit a variety of latent curve models that jointly estimate growth in both constructs.
By: James Soland