Sticker Shock

Schueler, Beth E.; West, Martin R.

doi:10.1093/poq/nfv047

Cited by 54 publications

(12 citation statements)

References 13 publications

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“…Here we conducted another information experiment; a random half of respondents were informed of the average annual per pupil spending on public schools. All respondents were then asked whether taxes to support public schools should be increased or decreased on five-point scale (for a similar experiment, see Schueler and West 2016). In this study, respondents were randomized into either the post-only, pretest, or quasi design.…”

Section: Study 3-education Spending Information Experimentsmentioning

confidence: 99%

Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments

Sheagley²,

2021

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The use of survey experiments has surged in political science. The most common design is the between-subjects design in which the outcome is only measured posttreatment. This design relies heavily on recruiting a large number of subjects to precisely estimate treatment effects. Alternative designs that involve repeated measurements of the dependent variable promise greater precision, but they are rarely used out of fears that these designs will yield different results than a standard design (e.g., due to consistency pressures). Across six studies, we assess this conventional wisdom by testing experimental designs against each other. Contrary to common fears, repeated measures designs tend to yield the same results as more common designs while substantially increasing precision. These designs also offer new insights into treatment effect size and heterogeneity. We conclude by encouraging researchers to adopt repeated measures designs and providing guidelines for when and how to use them.

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Section: Study 3-education Spending Information Experimentsmentioning

confidence: 99%

Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments

Sheagley²,

2021

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“…For the substantive manipulation, a random half of respondents were informed of the average annual per pupil spending on public schools. All respondents were then asked if taxes to support public schools should be increased or decreased (for a similar experiment, see Schueler and West 2016). In this study, respondents were randomized into either the posttest, pretest, or quasi design.…”

Section: Study 3 -Education Spending Information Experimentsmentioning

confidence: 99%

Increasing Precision in Survey Experiments Without Introducing Bias

Clifford

Sheagley²,

Piston

2020

Preprint

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The use of survey experiments has surged in political science as a method for estimating causal effects. By far, the most common design is the betweensubjects design in which the outcome is only measured posttreatment. This design relies heavily on recruiting a large number of subjects to achieve adequate statistical power. Alternative designs that involve repeated measurement of the dependent variable promise greater precision, but are rarely used out of fears that these designs will bias treatment effects (e.g., due to consistency pressures). Across six studies, we assess this conventional wisdom by testing experimental designs against each other. Our results demonstrate that repeated measures designs substantially increase precision, while introducing little to no bias. These designs also offer new insights into the nature of treatment effects. We conclude by encouraging researchers to adopt repeated measures designs and providing guidelines for when and how to use them.

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“…In 2015, the year before the OSD ballot initiative, 11 states debated or passed legislation to create state turnaround districts (Layton, 2016). Schueler and West (2019) also found robust support for state takeover in a 2017 nationally representative survey.…”

Section: State Takeover In Georgiamentioning

confidence: 87%

“…Prior studies have highlighted how communities resist state takeover initiatives and the key players in the resistance in Memphis, Newark, Georgia, and New Orleans (Buras, 2013; Danley & Rubin, 2020; Dixson et al, 2015; Glazer & Egan, 2016, 2018; Morel, 2018; Russakoff, 2015; Welsh et al, 2019b). Race has played a prominent role in these studies, and other studies have focused explicitly on how support for state takeover varies across racial groups (Burns, 2010; Schueler & West, 2019; Wong & Shen, 2002). Burns (2010) examined race and the support for state takeovers and found that opposition to state takeover is driven by areas with a significant concentration of African American voters and high voter turnout among these voters.…”

Section: State Takeover In Georgiamentioning

confidence: 99%

“…In ballot initiatives, public support or opposition for school improvement policies directly shapes the success of initiatives and the adoption of reforms. Yet, this topic has received little attention in research (Schueler & West, 2019). Ballot initiatives provide opportunities for persuasion (Collingwood et al, 2018) that elevate the importance of coalitions in education.…”

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confidence: 99%

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Why the Opportunity School District Failed? An Examination of Coalitions and the Politics of School Improvement

Welsh¹,

Graham

2021

Educational Evaluation and Policy Analysis

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In this study, we examine coalition building and coordination using a qualitative case study of the coalition opposing a ballot initiative to create a state-run turnaround district in Georgia. The findings highlight three important strategies in coalition building: (a) incorporating new actors, especially noneducation advocacy groups and noneducator groups in education; (b) incorporating noneducation and African American advocacy groups in the leadership of the coalition; and (c) identifying and coalescing around core beliefs early to unite a diverse coalition. Time to organize, prior relationships, and interest group autonomy were key factors in navigating tensions between coalition breadth and coalition cohesion. Salient coalition coordination strategies included the following: (a) “keep it local and grassroots,” and (b) diverse messaging.

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Sticker Shock

Cited by 54 publications

References 13 publications

Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments

Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments

Increasing Precision in Survey Experiments Without Introducing Bias

Why the Opportunity School District Failed? An Examination of Coalitions and the Politics of School Improvement

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