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Jamal Abedi National Center for Research on Evaluation, Standards, and Student Testing

Psychometric Issues in the ELL Assessment and Special Education Eligibility. English Language Learners Struggling to Learn: Emergent Research on Linguistic Differences and Learning Disabilities. Jamal Abedi National Center for Research on Evaluation, Standards, and Student Testing.

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Jamal Abedi National Center for Research on Evaluation, Standards, and Student Testing

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  1. Psychometric Issues in the ELL Assessment and Special Education Eligibility English Language Learners Struggling to Learn: Emergent Research on Linguistic Differences and Learning Disabilities Jamal Abedi National Center for Research on Evaluation, Standards, and Student Testing UCLA Graduate School of Education & Information Studies November 18, 2004

  2. Why Should English Language Learners be Assessed? • Goals 2000 • Title I and VII of the Improving America’s School Act of 1994 (IASA) • No Child Left Behind Act

  3. Should Schools Test English Language Learners?  Yes General Problems English language learners (ELLs) can be placed at a disadvantage because: • Assessment outcomes may not be valid because their low level English proficiency interferes with content knowledge performance • Test results affect decisions regarding promotion or graduation • They may be inappropriately placed into special educational programs where they receive inappropriate instruction • ELL students may not have received the same curriculum which is assumed for the test

  4. Should Schools Test English Language Learners?  Yes • Problems In Large-Scale Assessment: • Standardized assessment • Assessment tools in large-scale assessments are usually constructed based on norms that exclude ELL populations • Research shows major differences between the performance of ELL and non-ELL students on the results of standardized large-scale assessments • The tests may be biased in favor of non-ELL populations • Performance/alternative assessment • Such assessments require more language production; thus students with lower language capabilities are at a greater disadvantage • Scorers may not be familiar with rating ELL performance

  5. Should Schools Test English Language Learners?  No Problems • Due to the powerful impact of assessment on instruction, ELL and SWD students’ quality of instruction may be affected • If excluded, they will be dropped out of the accountability picture • Institutions will not be held responsible for their performance in school • They will not be included in state or federal policy decision • Their academic progress, skills, and needs may not be appropriately assessed

  6. States with the Highest Proportion of ELL Students • Percentage of Total Student Population: • California 27.0 • New Mexico 19.0 • Arizona 15.4 • Alaska 15.0 • Texas 14.0 • Nevada 11.8 • Florida 10.7

  7. Problems in AYP Reporting: Focus on LEP Students • Problems in classification/reclassification of LEP students (moving target subgroup) • Measurement quality • Low baseline • Instability of the LEP subgroup • Sparse LEP population • LEP cutoff points (Conjunctive vs. Compensatory model)

  8. Site 2 Stanford 9 Sub-scale Reliabilities (1998) Grade 9 Alphas

  9. Classical Test Theory: Reliability 2 X: Observed ScoreT: True ScoreE: Error Score • s2X = s2T + s2E rXX’=s2T /s2X rXX’= 1- s2E /s2X Textbook examples of possible sources that contribute to the measurement error: RaterOccasionItemTest Form

  10. Classical Test Theory: Reliability 2 • s2X = s2T + s2E • s2X = s2T + s2E+ s2S+ sES rXX’= 1- ((s2E+s2S+ sES )/s2X)

  11. Generalizability Theory:Partitioning Error Variance into Its Components 3 • s2(Xpro) = s2p + s2r + s2o + s2pr + s2po + s2ro + s2pro,e p: Personr: Ratero: Occasion Are there any sources of measurement error that may specifically influence ELL performance?

  12. Grade 11 Stanford 9 Reading and Science Structural Modeling Results (DF=24), Site 3 Note. NFI = Normed Fit Index. NNFI = Non-Normed Fit Index. CFI = Comparative Fit Index.

  13. Normal Curve Equivalent Means & Standard Deviations for Students in Grades 10 and 11, Site 3 School District Reading Science Math MSDMSDMSDGrade 10 SWD only 16.4 12.7 25.5 13.3 22.511.7 LEP only 24.0 16.4 32.9 15.3 36.8 16.0 LEP & SWD 16.3 11.2 24.8 9.3 23.6 9.8 Non-LEP/SWD 38.0 16.0 42.6 17.2 39.6 16.9 All students 36.0 16.9 41.3 17.5 38.5 17.0 Grade 11 SWD Only 14.9 13.2 21.5 12.3 24.3 13.2 LEP Only 22.5 16.1 28.4 14.4 45.5 18.2 LEP & SWD 15.5 12.7 26.1 20.1 25.1 13.0 Non-LEP/SWD 38.4 18.3 39.6 18.8 45.2 21.1 All Students 36.2 19.0 38.2 18.9 44.0 21.2

  14. Site 2 Grade 7 SAT 9 Subsection Scores

  15. Site 4 Grade 8 Descriptive Statistics for the SAT 9 Test Scores by Strands

  16. Accommodations for SWD/LEP Accommodations that are appropriate for the particular subgroup should be used

  17. Why Should English Language Learners be Accommodated? • Their possible English language deficiency may interfere with their content knowledge performance. • Assessment tools may be culturally and linguistically biased for these students. • Linguistic complexity of the assessment tools may be a source of measurement error. • Language factors may be a source of construct irrelevant variance.

  18. SY 2000-2001 Accommodations Designated for ELLs Cited in States’ Policies There are 73 accommodations listed: N: Not Related R: Remotely Related M: Moderately Related H: Highly Related From: Rivera (2003) State assessment policies for English language learners. Presented at the 2003 Large-Scale Assessment Conference

  19. SY 2000-2001 Accommodations Designated for ELLs Cited in States’ Policies I. Timing/Scheduling (N = 5) N 1. Test time increased N 2. Breaks provided N 3. Test schedule extended N 4. Subtests flexibly scheduled N 5. Test administered at time of day most beneficial to test-taker N = not related; R = remotely related; M = moderately related; H = highly related

  20. There are 73 Accommodations Listed 47 or 64% are not related 7 or 10% are remotely related 8 or 11% are moderately related 11 or 15% are highly related

  21. A Clear Language of Instruction and Assessment Works for ELLs, SWDs, and Everyone • What is language modification of test items?

  22. Examining Complex Linguistic Features in Content-Based Test Items

  23. Linguistic Modification Concerns Familiarity/frequency of non-math vocabulary: unfamiliar or infrequent words changed census > video game A certain reference file > Mack’s company Length of nominals: long nominals shortened last year’s class vice president > vice president the pattern of puppy’s weight gain > the pattern above Question phrases: complex question phrases changed to simple question words At which of the following times > When which is best approximation of the number > approximately how many

  24. Linguistic Modification cont. Voice of verb phrase: passive verb forms changed to activeThe weights of 3 objects were compared > Sandra compared the weights of 3 rabbits If a marble is taken from the bag > if you take a marble from the bag Conditional clauses: conditionals either replaced with separate sentences or order of conditional and main clause changedIf Lee delivers x newspapers > Lee delivers x newspapers If two batteries in the sample were found to be dead > he found three broken pencils in the sample Relative clauses: relative clauses either removed or re-cast A report that contains 64 sheets of paper > He needs 64 sheets of paper for each report

  25. Original:2. The census showed that three hundred fifty-six thousand, ninety-seven people lived in Middletown. Written as a number, that is:A. 350,697B. 356,097C. 356,907D. 356,970 Modified:2. Janet played a video game. Her score was three hundred fifty-six thousand, ninety-seven. Written as number, that is:A. 350,697B. 356,097C. 356,907D. 356,970

  26. Interview Study • Table 1. Student Perceptions Study: First Set (N=19) • Item # Original item chosen Revised item chosen • 1 3 16 • 2 4 15 • 3 10 9 • 4 11 8 • Table 2. Student Perceptions Study: Second Set (N=17) • Item # Original item chosen Revised item chosen5 3 14 • 6 4.5a 12.5 • 7 2 15 • 8 2 15

  27. Many students indicated that the language in the revised item was easier: • “Well, it makes more sense.” • “It explains better.” • “Because that one’s more confusing.” • “It seems simpler. You get a clear idea of what they want you to do.”

  28. Issues in the ELL Special Education Eligibility • Issues concerning authenticity of English language Proficiency tests • Issues and problems in identifying students with learning disability in general • Distribution of English language proficiency across ELL/non-ELL student categories

  29. Issues concerning authenticity of English language Proficiency tests • Issues in theoretical bases (discrete point approach, holistic approach, Pragmatic approach) • Issues in content coverage (language proficiency standards) • Issues concerning psychometrics of the assessment • Low relationship between ELL classification categories and English proficiency scores

  30. Issues and problems in identifying students with learning disability in general • A large majority of students with disabilities fall in learning disability • Validity of identifying students with learning disability is questionable

  31. Distribution of English language proficiency across ELL/non-ELL student • Most of the existing tests of English proficiency lack enough discrimination power • There is a large number of ELL students perform higher than non-ELL student • The line between ELL and non-ELL on their English proficiency is not a clear line

  32. Reducing the Language Load of Test Items Reducing unnecessary language complexity of test items helps ELL students (and to some extent SWDs) present a more valid picture of their content knowledge. The language clarification of test items may be used as a form of accommodation for English language learners. The results of our research suggest that linguistic complexity of test items may be a significant source of measurement error for ELL students.

  33. Conclusions and Recommendation1. Classification Issues Classifications of ELLs and SWDs: Must be based on multiple criteria that have predictive power for such classifications These criteria must be objectively defined Must have sound theoretical and practical bases Must be easily and objectively measurable

  34. Conclusions and Recommendation2. Assessment Issues Assessment for ELLs and SWDs: Must be based on a sound psychometric principles Must be controlled for all sources of nuisance or confounding variables Must be free of unnecessary linguistic complexities Must include sufficient number of ELLs and SWDs in its development process (field testing, standard setting, etc.) Must be free of biases, such as cultural biases Must be sensitive to students’ linguistics and cultural needs

  35. 3. Issues concerning special education eligibility particularly in placing ELL students at the lower English language proficiency in the learning/ reading disability category • There are psychometric issues with the English language proficiency tests • Standardized achievement tests may not provide reliable and valid assessment of ELL students • Reliable and valid measures are needed to distinguish between learning disability and low level of English proficiency

  36. Conclusions and Recommendation4. Accommodation Issues Accommodations: Must be relevant to the subgroups of students Must be effective in reducing the performance gap between accommodated and non-accommodated students Must be valid, that is, accommodations should not alter the construct being measured The results could be combined with the assessments under standard conditions Must be feasible in the national and state assessments

  37. Now for a visual art representation of invalid accommodations…

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