Combining Multiple Measures • • • • What are the indicators/ components? What are the priority outcomes? What are the performance expectations? How can we evaluate effectiveness? 1 Components • Indicators are specific measures in the system such as performance on assessments or graduation rate. • Components refer to broader (non-mutually exclusive) categories and can include: – – – – – Achievement (Status) Growth Equity Readiness Inclusion 2 What to Report • Classifications – How many levels? • How will you define these levels? • ‘Monikers’ rarely have intuitive meaning. Consider starting with policy descriptors for each classification – Scores • Report outcomes at indicator, component, or overall level? 3 How to combine? • There are many approaches to combining within and across components. • The ‘how’ is much easier than the ‘why’ – What should outcomes look like and how does this fit into the overall theory of action? • Strike balance between simple – flexible • Methods for combining multiple parts into a whole that yields a single outcome include: – Conjunctive – Disjunctive – Compensatory – Profile 4 Conjunctive • A conjunctive rule means that ALL parts have to meet a standard in order to achieve a target outcome. • Conjunctive rules are used when each part is distinct and necessary for the outcome. • Example: – Currently, NCLB is a conjunctive model in that each subgroup must meet target performance in each area for a school to make AYP. 5 Disjunctive • A disjunctive rule means that ANY part can meet an established standard in order to achieve an overall target outcome. • A disjunctive rule should be used when each component represents a similar or equally valued part of the whole. In other words, there are multiple ways to show quality and any one way is as good as another. • Example: – If school meets the target in status OR growth the overall standard is achieved. 6 Combine Conjunctive/ Disjunctive • Blend elements of each into overall decision • For example: – To be classified as meeting standards… 1. schools should meet EITHER growth or proficiency standards (disjunctive) 2. these standards have to be met for the whole school AND all subgroups (conjunctive) 7 Compensatory • A compensatory approach means that each component contributes to the outcome, but being higher on one component can offset or ‘compensate’ for being lower on another. • Example: – Take the average of each component and base the outcome on the resulting value. – Produce an index, which can be weighted to reflect priorities (e.g. 70% growth, 30% status) – Can set a ‘floor’ or conditions to prevent unintended outcomes (e.g. average must equal X unless Y is less than…”) 8 Profile • Yet another way to combine indicators/ components is to create profile descriptions. • A profile refers to a pattern of performance determined to meet the target or not. • This approach is particularly useful when combinations of points are ‘conditional’. • For example, a combination of 1,1,2 = 1; while a combination of 1,2,1 = 2. • In an index, these combinations might yield the same points, which may be undesirable, because HOW the points are earned matters. 9 Equity and Excellence • Who are the students for whom equity concerns are greatest? – Demographic factors • Multiple subgroups • ‘Super-subgroup’ – Performance factors • Normative (e.g. all students in lowest 25%) • Criterion (e.g. all students below proficient) • – What outcomes should be prioritized • Attainment of status • Growth rate Principles: – Schools that are already successful – those that have no or very small achievement gaps – should not be disadvantaged. – Schools that have the largest achievement gaps should have the most incentive to improve. Differentiated expectations. – Schools should not be rewarded for closing the achievement gap when it is accomplished by lowering the score of the higher performing group. 10 Growth and School Type A thoughtful approach should consider how standards interact with status. Status/Growth Combinations High Status High/Low Low/Low High/High Low/High Low Status Low Growth High Growth 11 Build-In Incentives • Consider ways to incentivize actions to support lowest performing students • For example, what will be the motivation to work with students who don’t graduate in four years? • Consider ‘incentive’ points Possible Outcomes Student earns CCR diploma with honors Student earns CCR diploma Student earns non-CCR (e.g. ‘general’) diploma Points - A 125 100 75 Additional Outcomes Student earns (or is likely to earn) college credit via AP/IB/dual enrollment Points - B 10 per course Time to Outcome Points - C1 4th year NA (sum of A and B) multiplied by .75 5th year Student earns GED 50 Student earns other Student earns certificate 50 10 per industry Student persists, does (sum of A certificate certification not meet graduation and B) 6 + years requirements 25 multiplied by .50 Student drops out 0 1Late graduates are not averaged into the index score for the current cohort. However, bonus points are added to the current cohort score after averaging. 12 Performance Expectations • Is it important to establish criteria (whether reported or not) within each component, or should criteria be based only on overall results? • Are there external indicators that should factor into decisions? • Are there expectations for the distribution of results? • How should expectations differ for schools/ subgroups? 13 Normative • Normative growth provides an indication of what is attainable • Examine patterns of performance for schools and subgroups to set initial expectations for what is possible and what is reasonable – For example: What is rate of growth for high achieving students compared to low achieving students? 14 Criterion • For students that grow at specified rates, what is the probability of attaining or maintaining target status? • For example: – What percent of non-proficient students meeting a specified growth target reach proficiency in 1 year, 2 years etc. 15 Growth Expectations • Both are important and complimentary • Ideally, the are used iteratively – Examine patterns of performance for schools and subgroups to set initial expectations for what is possible and what is reasonable – For students that grow at specified rates, what is the probability of attaining or maintaining target status? Example depiction of norm and criterion referenced growth based on SGP. Betebenner, D. W. 16 Evidence the System is Working • To what degree are outcomes stable for schools/ groups of various types and size? (reliability) • To what extent are the results associated with variables not related to effectiveness? (e.g. percent ED) • What evidence bolsters the claim that classifications are credible? (e.g. related to other valued quantitative and qualitative indicators not modeled) • Are the results useful for improvement? • Are negative consequences mitigated? Research is ongoing and should shape both initial design and ongoing refinements 17