TECHNICAL PAPER FEBRUARY Relating Star Math to the State of Texas Assessments of Academic Readiness (STAAR) Algebra 1 End of Course (EOC) Test

Similar documents
Linking the Ohio State Assessments to NWEA MAP Growth Tests *

Renaissance Learning P.O. Box 8036 Wisconsin Rapids, WI (800)

Star Math Pretest Instructions

OVERVIEW OF CURRICULUM-BASED MEASUREMENT AS A GENERAL OUTCOME MEASURE

Psychometric Research Brief Office of Shared Accountability

Renaissance Learning 32 Harbour Exchange Square London, E14 9GE +44 (0)

Port Jefferson Union Free School District. Response to Intervention (RtI) and Academic Intervention Services (AIS) PLAN

THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF MATHEMATICS ASSESSING THE EFFECTIVENESS OF MULTIPLE CHOICE MATH TESTS

Evaluation of Teach For America:

Further, Robert W. Lissitz, University of Maryland Huynh Huynh, University of South Carolina ADEQUATE YEARLY PROGRESS

The Oregon Literacy Framework of September 2009 as it Applies to grades K-3

Ready Common Core Ccls Answer Key

Florida Reading for College Success

Early Warning System Implementation Guide

AIS/RTI Mathematics. Plainview-Old Bethpage

Why OUT-OF-LEVEL Testing? 2017 CTY Johns Hopkins University

Katy Independent School District Paetow High School Campus Improvement Plan

SSIS SEL Edition Overview Fall 2017

OFFICE SUPPORT SPECIALIST Technical Diploma

DATE ISSUED: 11/2/ of 12 UPDATE 103 EHBE(LEGAL)-P

Interpreting ACER Test Results

Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge

Program Alignment CARF Child and Youth Services Standards. Nonviolent Crisis Intervention Training Program

Executive Summary. Laurel County School District. Dr. Doug Bennett, Superintendent 718 N Main St London, KY

The ELA/ELD Framework Companion: a guide to assist in navigating the Framework

EFFECTS OF MATHEMATICS ACCELERATION ON ACHIEVEMENT, PERCEPTION, AND BEHAVIOR IN LOW- PERFORMING SECONDARY STUDENTS

How to Judge the Quality of an Objective Classroom Test

Wonderworks Tier 2 Resources Third Grade 12/03/13

Proficiency Illusion

Academic Intervention Services (Revised October 2013)

Norms How were TerraNova 3 norms derived? Does the norm sample reflect my diverse school population?

Kelso School District and Kelso Education Association Teacher Evaluation Process (TPEP)

ACCOMMODATIONS FOR STUDENTS WITH DISABILITIES

The Efficacy of PCI s Reading Program - Level One: A Report of a Randomized Experiment in Brevard Public Schools and Miami-Dade County Public Schools

SURVEY RESEARCH POLICY TABLE OF CONTENTS STATEMENT OF POLICY REASON FOR THIS POLICY

CONNECTICUT GUIDELINES FOR EDUCATOR EVALUATION. Connecticut State Department of Education

Applying Florida s Planning and Problem-Solving Process (Using RtI Data) in Virtual Settings

ISD 2184, Luverne Public Schools. xcvbnmqwertyuiopasdfghjklzxcv. Local Literacy Plan bnmqwertyuiopasdfghjklzxcvbn

ADDENDUM 2016 Template - Turnaround Option Plan (TOP) - Phases 1 and 2 St. Lucie Public Schools

Cogat Sample Questions Grade 2

Intermediate Algebra

Clarkstown Central School District. Response to Intervention & Academic Intervention Services District Plan

West Haven School District English Language Learners Program

1110 Main Street, East Hartford, CT Tel: (860) Fax: (860)

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview

Scholastic Leveled Bookroom

SETTING STANDARDS FOR CRITERION- REFERENCED MEASUREMENT

Classroom Connections Examining the Intersection of the Standards for Mathematical Content and the Standards for Mathematical Practice

Final Teach For America Interim Certification Program

TULSA COMMUNITY COLLEGE

TULSA COMMUNITY COLLEGE

Aimsweb Fluency Norms Chart

Eye Level Education. Program Orientation

History of CTB in Adult Education Assessment

Big Ideas Math Grade 6 Answer Key

A Pilot Study on Pearson s Interactive Science 2011 Program

Moving the Needle: Creating Better Career Opportunities and Workforce Readiness. Austin ISD Progress Report

MIDDLE SCHOOL. Academic Success through Prevention, Intervention, Remediation, and Enrichment Plan (ASPIRE)

College of Education Department of Educational Psychology SYLLABUS

Delaware Performance Appraisal System Building greater skills and knowledge for educators

Attendance/ Data Clerk Manual.

GUIDE TO THE CUNY ASSESSMENT TESTS

PROGRESS MONITORING FOR STUDENTS WITH DISABILITIES Participant Materials

CAAP. Content Analysis Report. Sample College. Institution Code: 9011 Institution Type: 4-Year Subgroup: none Test Date: Spring 2011

Testing Schedule. Explained

Making the ELPS-TELPAS Connection Grades K 12 Overview

2013 TRIAL URBAN DISTRICT ASSESSMENT (TUDA) RESULTS

INTERNAL MEDICINE IN-TRAINING EXAMINATION (IM-ITE SM )

A Guide to Adequate Yearly Progress Analyses in Nevada 2007 Nevada Department of Education

ONBOARDING NEW TEACHERS: WHAT THEY NEED TO SUCCEED. MSBO Spring 2017

A Case Study: News Classification Based on Term Frequency

Diploma in Library and Information Science (Part-Time) - SH220

QUESTIONS ABOUT ACCESSING THE HANDOUTS AND THE POWERPOINT

English Language Arts Summative Assessment

AGS THE GREAT REVIEW GAME FOR PRE-ALGEBRA (CD) CORRELATED TO CALIFORNIA CONTENT STANDARDS

Academic Support Services Accelerated Learning Classes The Learning Success Center SMARTHINKING Student computer labs Adult Education

Tools and. Response to Intervention RTI: Monitoring Student Progress Identifying and Using Screeners,

A Decision Tree Analysis of the Transfer Student Emma Gunu, MS Research Analyst Robert M Roe, PhD Executive Director of Institutional Research and

2 nd grade Task 5 Half and Half

Learning Disability Functional Capacity Evaluation. Dear Doctor,

Interpreting Graphs Middle School Science

Assessing Functional Relations: The Utility of the Standard Celeration Chart

PreAP Geometry. Ms. Patricia Winkler

Analyzing sentiments in tweets for Tesla Model 3 using SAS Enterprise Miner and SAS Sentiment Analysis Studio

CLASSIFICATION OF PROGRAM Critical Elements Analysis 1. High Priority Items Phonemic Awareness Instruction

Miami-Dade County Public Schools

Queensborough Public Library (Queens, NY) CCSS Guidance for TASC Professional Development Curriculum

ACS THE COMMON CORE, TESTING STANDARDS AND DATA COLLECTION

School Performance Plan Middle Schools

Data Diskette & CD ROM

TIMSS ADVANCED 2015 USER GUIDE FOR THE INTERNATIONAL DATABASE. Pierre Foy

INTERMEDIATE ALGEBRA PRODUCT GUIDE

Running head: DEVELOPING MULTIPLICATION AUTOMATICTY 1. Examining the Impact of Frustration Levels on Multiplication Automaticity.

World s Best Workforce Plan

Laura A. Riffel

Answer Key To Geometry Houghton Mifflin Company

Introducing the New Iowa Assessments Mathematics Levels 12 14

Instructional Intervention/Progress Monitoring (IIPM) Model Pre/Referral Process. and. Special Education Comprehensive Evaluation.

2013/Q&PQ THE SOUTH AFRICAN QUALIFICATIONS AUTHORITY

Data-Based Decision Making: Academic and Behavioral Applications

Transcription:

TECHNICAL PAPER FEBRUARY 2017 Relating Star Math to the State of Texas Assessments of Academic Readiness (STAAR) Algebra 1 End of Course (EOC) Test

Contents Introduction... 3 Main Findings... 3 Study... 3 Results... 5 Appendix: About Star Math... 7 References... 8 Tables Table 1. Star Math score equivalents for each STAAR Algebra 1 EOC achievement level range... 5 Table 2. Equivalent Star Math cut scores projected to August and December... 5 Table 3. Proficiency forecasting using Star Math scores yields accurate results... 6 Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com 2

Introduction At Renaissance we know that as an educator, chief among your responsibilities is making decisions about how to allocate limited resources to best serve diverse student needs. A good assessment system supports your efforts, by providing timely, relevant information to help address key questions about which students are on track to meet important standards and who may need additional assistance. Assessments that identify early any students at risk of missing academic standards are especially useful, as they inform instructional decisions to improve student performance and reduce gaps in achievement. Assessments that do this while taking little time away from instruction are particularly valuable. Interim assessments, one of three broad categories of educational assessment, 1 indicate which students are on track to meet later expectations (Perie, Marion, Gong, & Wurtzel, 2007). This linking study applied results from the interim assessment Renaissance Star Math, to help you predict whether individual students are on track or need more assistance to succeed on the year-end summative State of Texas Assessments of Academic Readiness (STAAR) Algebra 1 End of Course (EOC) Test. 2 Assessments that identify early any students at risk of missing academic standards are especially useful. Main Findings Results from the linking analysis revealed that Star Math is an accurate predictor of the State of Texas Assessments of Academic Readiness (STAAR) Algebra 1 End of Course (EOC) Test, meaning as a Texas educator you can use Star scores to: 1. Identify early in the year students likely to miss math yearly progress goals in time to make meaningful adjustments to instruction well before the year-end test. 2. Forecast the percent of students at each STAAR Algebra 1 EOC performance level to serve as an early warning system for building and district administrators and allow redirection of resources as needed. Study To determine if Star Math can predict student achievement on the State of Texas Assessments of Academic Readiness (STAAR) Algebra 1 End of Course (EOC) Test, we began by linking the score scales for each assessment. 1 Formative assessments are short and frequent processes, embedded in instruction, that support learning and provide specific feedback on what students know and can do versus where gaps in knowledge exist. Summative assessments evaluate whether students have met a set of standards, and serve most commonly as year-end state-mandated tests. Interim assessments represent the middle ground, in terms of duration and frequency and can serve purposes including informing instruction, evaluating curriculum and student responsiveness to intervention, and forecasting performance on high-stakes summative year-end tests. 2 Technical manuals are available for Star Math by request to research@renaissance.com. Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com 3

Data collection Using a secure data-matching procedure compliant with the federal Family Educational Rights and Privacy Act (FERPA) and Texas Education Agency policies, staff from a large Texas district provided Renaissance with state summative test scores for students who had taken Star Math during the 2013 2014 school year. Each record included a student s STAAR Algebra 1 scores and was matched with all Star scores for that year. Sample characteristics Renaissance divided the Texas data into two samples. The concurrent sample included students scores for all Star Math tests taken within 30 days before or after the mid-date of the STAAR Algebra 1 EOC administration window. This sample numbered 2,965 students with matched STAAR Algebra 1 EOC and Star Math scores. We then set aside scores from a subset of these students 10% as a holdout sample to use only to evaluate the scale linkage. The linking analysis revealed that Star Math is an accurate predictor of the Texas Algebra 1 Tests. The predictive sample, which included 3,292 students, included Star scores for tests taken more than 30 days before the mid-date in the STAAR Algebra 1 EOC testing window. Correlations Before linking Star tests with the STAAR Algebra 1 EOC, we ensured there was a strong relationship between the test scales. The correlations were positive (r =.61). Scale linkage Renaissance then linked the score scales for the Star Math and the STAAR Algebra 1 EOC by applying equipercentile linking analysis (Kolen & Brennan, 2004). The concurrent sample (sans the holdout sample) was used in the linking (scores from all Star Math tests taken within 30 days before or after the STAAR Algebra 1 EOC testing mid-date), and the result was a table of STAAR Algebra 1 EOC scores for each possible Star score. The predictive sample was then used to evaluate if the linking results could accurately predict student performance on the STAAR Algebra 1 EOC with Star Math data from earlier in the school year. To do so, we took students Star Math scores from tests taken more than 30 days prior to the STAAR Algebra 1 EOC testing mid-date and used national growth norms (Renaissance Learning, 2016) to project what their Star scores would be at the mid-date. Then the scale linkage table was used to look up the projected Star scores (or the average of the projected scores for students with multiple Star scores in the predictive sample) to see how they translated to the STAAR Algebra 1 EOC scale. Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com 4

Texas cut scores and corresponding Star Math score equivalents A main purpose in linking Star Math to the STAAR Algebra 1 EOC was to identify Star Math scores approximately equivalent to the cut-off scores that separate the Texas achievement levels for each year of the TEA phase-in schedule. 3 Table 1 displays these equivalent Star scores. 4 Table 1. Star Math score equivalents for each STAAR Algebra 1 EOC achievement level range STAAR Algebra 1 cut scores and Star Math equivalents Level II phase-in schedule Assessment 15-16 16-17 17-18 18-19 19-20 20-21 21-22 Level III STAAR Algebra 1 3550 3625 3700 3775 3850 3925 4000 4333 Star Math 746 774 797 814 830 844 856 898 To offer additional help to Texas educators who wish to estimate whether students are on track to achieve proficiency on the state Algebra 1 tests, we applied national growth norms (Renaissance Learning, 2016) to the STAR cut scores identified in the linking to create a series of cut scores starting earlier in the school year (see Table 2). Table 2. Equivalent STAR Math cut scores projected to August and December Level II phase-in schedule Star Math Timeframe 15-16 16-17 17-18 18-19 19-20 20-21 21-22 Level III Spring (May) 746 774 797 814 830 844 856 898 Winter (December) 742 770 793 810 826 840 852 894 Fall (August) 739 767 790 807 823 837 849 891 Results Accuracy of scale linkage confirmed In evaluating the accuracy of the scale linkage, we used two methods to examine the differences between students observed (actual) STAAR Algebra 1 EOC scores and our Star Math equivalents: (1) computing the RMSEL (the root mean squared errors of linking) using the scores from the linking study, and (2) applying the holdout sample, consisting of the subset of concurrent scores not used in the linking, to the linking results. Results showed that our linking computation performed as intended. 3 The phase-in performance standards are posted on the STAAR performance standards webpage at http://tea.texas.gov/workarea/linkit.aspx?linkidentifier=id&itemid=25769825110&libid=25769825206. 4 The linking sample came from one school district, so cut scores should be considered approximations to be updated with greater precision as more data become available. Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com 5

Predictive Star Math scores correlate highly with actual STAAR Algebra 1 EOC scores To summarize the predictive power of Star Math, we calculated raw correlations between observed (actual) STAAR Algebra 1 EOC scores and projected Star scores. The predictive correlation showed a strong relationship (r =.64) between the assessments (similar to the correlations from the concurrent sample), indicating that earlier Star scores have a strong relationship with end-of-year STAAR Algebra 1 EOC scores. Star Math scores discriminate well between students who score proficient or not Using the sample of actual STAAR Algebra 1 EOC scores, we were able to compare how our projected Star scores aligned with the observed Texas scores. Table 3 displays classification diagnostics about whether students were correctly or incorrectly classified as proficient or not on the STAAR Algebra 1 EOC using projected Star Math scores. Students were correctly classified (i.e., overall classification accuracy) 76% of the time. Area Under the ROC Curve (AUC), a summary measure of diagnostic accuracy, was.82. Table 3. Proficiency forecasting using Star Math scores yields accurate results Star Math scores have a strong relationship with STAAR Algebra 1 scores. Classification Measure Value Overall classification accuracy (percentage of correct classifications) 76% Area Under the ROC Curve 0.82 Other diagnostic accuracy measures studied: Sensitivity represents the percentage of proficient students that were correctly forecasted and was 85%. Specificity represents the percentage of not-proficient students that were correctly forecasted and was 60%. Positive predictive values indicate that when Star Math scores forecasted students to be proficient, they actually were proficient 81% of the time. Negative predictive values indicate that when Star Math scores forecasted students to miss proficiency, they actually weren t proficient 66% of the time for math. Proficiency status projection error, the difference between actual and projected proficiency rates, indicates how well scores accurately predict proficiency. It was 3% (negative scores indicate underprediction while positive scores show over-prediction). Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com 6

Appendix: About Star Math The computer-adaptive Star Math assessments serve multiple purposes including screening, progress monitoring, instructional planning, forecasting proficiency, standards mastery, and measuring growth. These highly reliable, valid, and efficient standards-based measures of student performance in math provide valuable information regarding the acquisition of skills along a continuum of learning expectations. The assessments can be completed in about 20 minutes, and we recommend administering them two to five times a year for most purposes and more frequently as often as weekly when used in progress monitoring programs. Star Math is highly rated for progress monitoring by the National Center on Intensive Intervention, and received high ratings for screening and progress monitoring by the National Center on Response to Intervention. Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com 7

References Kolen, M. J., & Brennan, R. R. (2004). Test equating scaling and linking: Methods and practices. New York, NY: Springer Science+Business Media. Perie, M., Marion, S., Gong, B., & Wurtzel, J. (2007). The role of interim assessments in a comprehensive assessment system. Aspen, CO: Aspen Institute. Renaissance Learning. (2016). STAR Math: Technical manual. Wisconsin Rapids, WI: Author. Available by request to research@renaissance.com Independent technical reviews of Star Math U.S. Department of Education: National Center on Intensive Intervention. (2016). Review of progress monitoring tools [Review of STAR Math]. Washington, DC: Author. Retrieved from http://www.intensiveintervention.org/chart/progress-monitoring U.S. Department of Education: National Center on Response to Intervention. (2010). Review of progress monitoring tools [Review of STAR Math]. Washington, DC: Author. Retrieved from https://web.archive.org/web/20120813035500/http://www.rti4success.org/pdf/progressmonitoringgom.pdf U.S. Department of Education: National Center on Response to Intervention. (2011). Review of screening tools [Review of STAR Math]. Washington, DC: Author. Retrieved from http://www.rti4success.org/resources/tools-charts/screening-tools-chart Copyright 2017 Renaissance Learning, Inc. All rights reserved. (800) 338-4204 www.renaissance.com All logos, designs, and brand names for Renaissance s products and services, including but not limited to Star Assessments, Star Math, and Renaissance, are trademarks of Renaissance Learning, Inc., and its subsidiaries, registered, common law, or pending registration in the United States and other countries. All other product and company names should be considered the property of their respective companies and organizations. 8 R57781.170209