Going Deeper summarizes cognitive and educational research on the importance of practice in both reading and math, the role of practice in new college- and career-readiness standards, what effective practice looks like, and how educators and parents can get kids engaged. The full report is available online: <https://docs.renaissance.com/R54160>.

The Renaissance mastery model automates the tracking and reporting of student data from a wide variety of sources, and converts that data into a unified measure of mastery, helping teachers make timely and informed decisions about all students' learning. This paper explains the research supporting this model, how mastery is calculated, as well as what the confidence indicator is and how it works. Paper is now updated to explain Multidimensional Item Response Theory (MIRT) and the Open Growth Score (OGS). The full report is available online: <https://docs.renaissance.com/R60385>.

From the abstract: "There are concerns that too many young people, from disadvantaged backgrounds, are moving into secondary education in the UK, and elsewhere, without the necessary literacy skills to make progress with the wider secondary school curriculum. A large number of interventions have been proposed to reduce this poverty gradient. This paper summarises the evidence from randomised controlled trials of seven popular interventions, giving a different comparative perspective to individual reports, and permitting more detail than a wider review. Of these, it shows that Switch-on Reading (Reading Recovery) and Accelerated Reader, for example, are currently the most promising. And that summer schools and the use of generic literacy software are the least successful and may even harm pupil progress. The way in which the evidence is assessed in this paper suggests a way forward for practitioners and policy-makers navigating the evidence in their areas of interest. There is also evidence that practitioners should be able to conduct robust evaluations of their own with only minimal support, which could lead to a revolution in school improvement. The combined results suggest that 'soft' evaluations may be worse than just a waste of time and money, and that theoretical explanations might appear satisfying to readers but are largely unnecessary when assessing 'what works' in education."Purchasing information is available online: <http://dx.doi.org/10.1080/02671522.2016.1225811>.Gorard, S., Siddiqui, N., & See, B. H. (2017). What works and what fails? Evidence from seven popular literacy 'catch-up' schemes for the transition to secondary school in England. Research Papers in Education, 32(5), 626-648.

This 2017 UK linking study of Star Reading and Star Maths outcomes against Key Stage 2 Standardised Attainment Tests (SATs) results.The report is available online: <https://docs.renaissance.com/R61342>.

From the abstract: "Computer adaptive assessments were used to monitor the academic status and growth of students with emotional behavior disorders (EBD) in reading (N = 321) and math (N = 322) in a regional service center serving 56 school districts. A cohort sequential model was used to compare that performance to the status and growth of a national user base of more than 7,500,000 students without disabilities. Consistent with numerous previous findings, status or level of performance of students with EBD was consistently low relative to their nondisabled peers. However, for the most part the students with significant EBD demonstrated rates of growth similar to the nationwide sample of nondisabled peers. There was considerable variability in the academic growth of students across grades and between treatment programs, and this variability is described and discussed. Implications for policy and practice in student progress monitoring and teacher evaluation systems are discussed." Citation: Ysseldyke, J., Scerra, C., Stickney, E., Beckler, A., Dituri, J., & Ellis, K. (2017). Academic growth expectations for students with emotional and behavior disorders. Psychology in the Schools, 54(8), 792-807.

To develop Pathway to Proficiency reports for Georgia Star Reading Enterprise and Star Math Enterprise schools, we linked our scaled scores with the scaled scores from Georgia's achievement test. This technical report details the statistical method behind the process of linking Georgia's state test (Georgia Milestones) and Star Reading and Star Math scaled scores. The full report is available online: <https://docs.renaissance.com/R45876>.

To develop Pathway to Proficiency reports for Maine Star Reading and Star Math Enterprise schools, we linked our scaled scores with the scaled scores from the Maine achievement test. This technical report details the statistical method behind the process of linking Maine Educational Assessment (MEA) and Star Reading and Star Math scaled scores. The full report is available online: <https://docs.renaissance.com/R58548>.

From the abstract: "Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening. Participants included 3,699 students in Grades 3-5. Three time points of administration (fall,winter, and spring) of the computer-adaptive reading measure were selected. LCGA results indicated 6-7 classes, depending on grade, informed by level and growth in student performance that significantly predicted failure on the statewide test administered at the end of the year. The lowest-performing classes had failure rates above 90% across all grades. The results indicate that identifying homogeneous groups of learners through LCGA may be valuable as an approach to determining students who need additional instruction. Practical implications and future directions are discussed."Citation: Keller-Margulis, M., McQuillin, S. D., Castañeda, J. J., Ochs, S., & Jones, J. H. (2018). Identifying students at risk: An examination of computer-adaptive measures and latent class growth analysis. Journal of Applied School Psychology, 34(1), 18-35.

The author explores how myON can help support literacy learning both at home and school and the factors that contribute to variations in the amount of use.Citation: O'Conner, W. L. (2017). Sociocultural early literacy practices in the school and home context: The role of a digital library (Unpublished doctoral dissertation). University of California, San Diego, CA.The full report is available online: <https://escholarship.org/uc/item/1j95c5k2>.

This technical report details the statistical method behind the process of linking ACT Aspire and Star Reading and Star Math scaled scores in Grade 3-10. The full report is available online: <https://docs.renaissance.com/R60968>.

Developing psychometrically sound decision rules for Star Math. Manuscript submitted for publication.

From the abstract: "The purpose of this action research project was to determine if the use of a supplemental computerized math practice program increases student achievement in the fractions domain for fifth graders. Two fifth grade math classes received the same classroom instruction. However, one class also utilized a computerized program three times per week for 20-30 minutes over a six-week period. Data was collected through quantitative pre- and post-assessments, quantitative survey questions, and qualitative student responses. Analysis of the data collected suggests that using the supplemental computerized math program, Freckle Math (formerly Front Row Education), in addition to regular classroom instruction, increases student achievement in the fractions domain at the fifth grade level."Citation: Tesch, S. (2017). Math technology: Assessing the education value of a supplemental practice program (Master's thesis). Northwestern College, Orange City, Iowa.The research study is available online: <https://nwcommons.nwciowa.edu/education_masters/19/>.

From the abstract: "Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were available for 278 fourth- and fifth-grade students. Growth estimates were obtained when five, three, and two data collections were available across 18 weeks. Data were analyzed by grade to evaluate any observed differences in growth. Further, root mean square error values were obtained to evaluate differences in individual student growth estimates across data collection schedules. Group-level estimates of growth did not differ across data collection schedules; however, growth estimates for individual students varied across the different schedules of data collection. Implications for using CATs to monitor student progress at the individual or group level are discussed." Citation: Nelson, P. M., Van Norman, E. R., Klingbeil, D. A., & Parker, D. C. (2017). Progress monitoring with computer adaptive assessments: The impact of data collection schedule on growth estimates. Psychology in the Schools, 54(5), 463-471.More information about this article is available online: <http://onlinelibrary.wiley.com/doi/10.1002/pits.22015/abstract>.