- Page 1: Abbreviated Interrupted Time‐Seri
- Page 5 and 6: The effect can be a change in slope
- Page 7 and 8: The effect can be delayed in time.
- Page 9 and 10: Interrupted Time Series Can Provide
- Page 11 and 12: Meeting ITS Conditions in Education
- Page 13 and 14: • O X O Theoretical Rationales fo
- Page 15 and 16: O O O X O • Initial standing asse
- Page 17 and 18: Threats to Validity: History • Wi
- Page 19 and 20: Threat to SCV • When a treatment
- Page 21 and 22: External Validity • The essence o
- Page 23 and 24: O X O O O • Now we add a comparis
- Page 25 and 26: O O O X O O O O O • Now mean diff
- Page 27 and 28: Results: Percent of Students Obtain
- Page 29 and 30: Adding a nonequivalent dependent va
- Page 31 and 32: Note that the outcome variable (ope
- Page 33 and 34: Only the targeted dependent variabl
- Page 35 and 36: Example: Evaluating No Child Left B
- Page 37 and 38: Contrast Type 1 & 2 • Contrast 1:
- Page 39 and 40: Hypothetical NCLB effects on public
- Page 41 and 42: Analytic Model • NCLB Public vs.
- Page 43 and 44: Main NAEP 4 th grade math scores by
- Page 45 and 46: Difference in differences in Total
- Page 47 and 48: Main NAEP 8 th grade math scores by
- Page 49 and 50: Trend NAEP Time Series Graphs Publi
- Page 51 and 52: Trend NAEP 8 th grade math scores b
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Public vs Private School Findings
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Contrast 2: Comparing States that v
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Evidence of Differing Standards Hig
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Main NAEP Time Series Graphs States
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], ) ( ) ( ) ( [ ) _ _ ( ) _ _ ( )
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Main NAEP 4 th grade math scores by
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Difference in differences in 2009 T
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Overall Conclusions • Similar res
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Basic Insight of D & J • NCLB pas
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D & J Results: 4 th Grade Math
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Dee and Jacob Results • Similar c
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4 th Grade Reading
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The Use of Multiple Comparison Grou
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Adding Treatment Introduction and R
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Medication decreased hyperactivity,
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Example: Chorpita • A child with
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Multiple Baselines on Different Uni
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The effects of screening for phenyl
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Multilevel Models: Current Work •
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Potential drawbacks of using HLM to
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Stuart Data Example (Stuart, 1967)
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Level 2 data: Persons Level-2 data
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HLM: Linear Model Estimates Final e
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HLM Output from Quadratic Model: Fi
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So Simple: What Could Go Wrong? •
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Problematically • Different combi
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Do you have any examples to share w