Abbreviated Interrupted Time-Series - Institute for Policy Research

More documents

Recommendations

Info

Potential drawbacks of using HLM to analyze and synthesize SCD data (both within and across studies): 1. Can be intimidating to some researchers 2. Can be difficult to estimate parameters when models get complex • Especially when number of time points and number of cases is small. • Especially when modeling quadratic terms. • Especially when using a fully random effects model. 92
Example: Stuart 1967 • 8 time series, one on each of 8 people • Weight loss intervention over one year • Wt loss in pounds as dv • Here are the 8 time series:
Page 1 and 2:
Abbreviated Interrupted Time‐Seri
Page 3 and 4:
The effect can be a change in inter
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 49 and 50: Trend NAEP Time Series Graphs Publi
Page 51 and 52: Trend NAEP 8 th grade math scores b
Page 53 and 54: Public vs Private School Findings
Page 55 and 56: Contrast 2: Comparing States that v
Page 57 and 58: Evidence of Differing Standards Hig
Page 59 and 60: Main NAEP Time Series Graphs States
Page 61 and 62: ], ) ( ) ( ) ( [ ) _ _ ( ) _ _ ( )
Page 65 and 66: Difference in differences in 2009 T
Page 67 and 68: Overall Conclusions • Similar res
Page 69 and 70: Basic Insight of D & J • NCLB pas
Page 71 and 72: D & J Results: 4 th Grade Math
Page 73 and 74: Dee and Jacob Results • Similar c
Page 75 and 76: 4 th Grade Reading
Page 77 and 78: The Use of Multiple Comparison Grou
Page 79 and 80: Adding Treatment Introduction and R
Page 81 and 82: Medication decreased hyperactivity,
Page 83 and 84: Example: Chorpita • A child with
Page 85 and 86: Multiple Baselines on Different Uni
Page 88 and 89: The effects of screening for phenyl
Page 90 and 91: Multilevel Models: Current Work •
Page 94 and 95: Stuart Data Example (Stuart, 1967)
Page 96 and 97: Level 2 data: Persons Level-2 data
Page 98 and 99: HLM: Linear Model Estimates Final e
Page 100 and 101: HLM Output from Quadratic Model: Fi
Page 102 and 103: So Simple: What Could Go Wrong? •
Page 104 and 105: Problematically • Different combi
Page 106 and 107: Do you have any examples to share w
show all

Abbreviated Interrupted Time-Series - Institute for Policy Research

Create successful ePaper yourself

Delete template?

Save as template?