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Field
Last Published
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Before
September 18, 2024 05:21 PM
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After
October 29, 2024 11:57 AM
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Primary Outcomes (Explanation)
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Before
To construct the primary outcome index, 19 subquestions related to respondents' appraisal of the state takeover and its individual components will be converted from a 7-point Likert scale of "Strongly Disagree" to "Strongly Agree" to numeric values of 1-7, summed, and standardized to have a mean of 0 and a standard deviation of one. The subquestions that contribute to the primary outcome index are listed by their question numbers (see survey materials in "Supporting Documents and Materials"): 4 subquestions of Q6.1, 4 subquestions of Q6.2, 3 subquestions of Q6.3, 5 subquestions of Q6.4, 3 subquestions of Q6.5.
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After
To construct the primary outcome index for the Texas Sample, 19 subquestions related to respondents' appraisal of the state takeover and its individual components will be converted from a 7-point Likert scale of "Strongly Disagree" to "Strongly Agree" to numeric values of 1-7, summed, and standardized to have a mean of 0 and a standard deviation of one. The subquestions that contribute to the primary outcome index are listed by their question numbers (see survey materials in "Supporting Documents and Materials"): 4 subquestions of Q6.1, 4 subquestions of Q6.2, 3 subquestions of Q6.3, 5 subquestions of Q6.4, 3 subquestions of Q6.5.
To construct the primary outcome index for the National Sample, 4 subquestions related to respondents' appraisal of the state takeover will be converted from a 7-point Likert scale of "Strongly Disagree" to "Strongly Agree" to numeric values of 1-7, summed, and standardized to have a mean of 0 and a standard deviation of one. The subquestions that contribute to the primary outcome index for teh national sample are listed by their question numbers (see survey materials in "Supporting Documents and Materials"): 4 subquestions of Q6.1. This is equivalent to the secondary outcome subindex 1 in the Texas sample (An index summarizing respondents' overall rating of the state takeover of HISD).
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Experimental Design (Public)
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Before
This is a simple two-armed randomized survey experiment. 50% of participants will be randomized to view one block of text describing the 2023 TEA takeover of HISD (control group), and 50% will be randomized to view this text as well as additional text and figures that include information about student performance on standardized tests within different groups of Texas schools (treatment group). Both groups will then answer the same set of questions about their perceptions of the 2023 TEA takeover of HISD. Approximately 500 Texas residents will be recruited from an online survey platform to participate and approximately 1000 additional participants will be recruited from a national pool of volunteers.
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After
This is a simple two-armed randomized survey experiment. 50% of participants will be randomized to view one block of text describing the 2023 TEA takeover of HISD (control group), and 50% will be randomized to view this text as well as additional text and figures that include information about student performance on standardized tests within different groups of Texas schools (treatment group). Both groups will then answer the same set of questions about their perceptions of the 2023 TEA takeover of HISD.
Approximately 500 Texas residents will be recruited from an online survey platform to participate and will take the full survey. Approximately 1000 additional participants will be recruited from a national pool of respondents and will take an abridged survey (see both survey instruments in "Supporting Documents and Materials").
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Secondary Outcomes (End Points)
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Before
The secondary outcomes of this study will include a series of indices that assess different dimensions of respondents' perceptions of the state takeover of HISD, including 1) An index summarizing respondents' overall rating of the state takeover of HISD; 2) respondents' overall rating of NES reforms related to teacher and principal compensation and evaluation; 3) respondents' overall rating of NES reforms related to classroom instruction; 4) respondents' overall rating of NES reforms related to school culture and staffing; 5) respondents' overall rating of NES reforms related to school operations.
Additionally, we will convert respondents' stated preferences about when TEA should restore governing responsibilities to the elected HISD school board into a binary variable based on the median response of the control group, and report whether the informational intervention influenced respondents to prefer a longer or shorter takeover.
Similarly, we will convert respondents' stated preferences about the conditions under which TEA should restore governing responsibilities to the elected HISD school board into a binary variable based on the median response of the control group, and report whether the informational intervention influenced respondents to prefer more or less restrictive conditions for ending the takeover.
Additionally, we will convert respondents' stated preferences about the $4.4 billion 2024 HISD bond measure into a binary variable based on the median response of the control group, and report whether the informational intervention influenced respondents to express more or less support for the bond measure.
Finally, we will conduct a moderation and mediation analyses. For our primary moderation analysis, we will compare the influence of information on respondent preferences based on distance from Houston. First, we will compare the impact of information on the preferences of survey respondents who take the survey in Texas versus those who live outside of Texas. If we have at least 150 survey participants who live in Harris County, Texas, we will compare the impact on Harris County residents versus respondents who take the survey in Texas versus those who live outside of Texas. This is a slight change from our original pre-registered moderation analysis plan (see trial history), when we anticipated being able to target the survey to Harris County residents only (we were able to restrict the sample by state, but not county).
We will examine participants ratings of the process that led to the takeover as a mediator of their ratings of the takeover.
Exploratory analyses will examine the impact of information in responses to particular questions or subquestions.
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After
The secondary outcomes of the Texas study will include a series of indices that assess different dimensions of respondents' perceptions of the state takeover of HISD, including 1) An index summarizing respondents' overall rating of the state takeover of HISD; 2) respondents' overall rating of NES reforms related to teacher and principal compensation and evaluation; 3) respondents' overall rating of NES reforms related to classroom instruction; 4) respondents' overall rating of NES reforms related to school culture and staffing; 5) respondents' overall rating of NES reforms related to school operations.
Additionally, in both the Texas and National studies, we will convert respondents' stated preferences about when TEA should restore governing responsibilities to the elected HISD school board into a binary variable based on the median response of the control group, and report whether the informational intervention influenced respondents to prefer a longer or shorter takeover.
Similarly, in both the Texas and National studies we will convert respondents' stated preferences about the conditions under which TEA should restore governing responsibilities to the elected HISD school board into a binary variable based on the median response of the control group, and report whether the informational intervention influenced respondents to prefer more or less restrictive conditions for ending the takeover.
Additionally, in both the Texas and National studies, we will convert respondents' stated preferences about the $4.4 billion 2024 HISD bond measure into a binary variable based on the median response of the control group, and report whether the informational intervention influenced respondents to express more or less support for the bond measure.
Finally, we will conduct a moderation and mediation analyses. For our primary moderation analysis, we will compare the influence of information on respondent preferences based on distance from Houston. First, we will compare the impact of information on the preferences of survey respondents who take the survey in Texas versus those who live outside of Texas. If we have at least 150 survey participants who live in Harris County, Texas, we will compare the impact on Harris County residents versus respondents who take the survey in Texas versus those who live outside of Texas. This is a slight change from our original pre-registered moderation analysis plan (see trial history), when we anticipated being able to target the survey to Harris County residents only (we were able to restrict the sample by state, but not county).
We will examine participants ratings of the process that led to the takeover as a mediator of their ratings of the takeover.
Exploratory analyses will examine the impact of information in responses to particular questions or subquestions.
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Secondary Outcomes (Explanation)
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Before
To construct each index, subquestions related to each domain will be converted from a 7-point Likert scale of "Strongly Disagree" to "Strongly Agree" to numeric values of 1-7, summed, and standardized to have a mean of 0 and a standard deviation of one. Below the subquestions that contribute to each index are listed by their question numbers (see survey materials in "Supporting Documents and Materials"):
Index 1: 4 subquestions of Q6.1
Index 2: 4 subquestions of Q6.2
Index 3: 3 subquestions of Q6.3
Index 4: 5 subquestions of Q6.4
Index 5: 3 subquestions of Q6.5
In
Length of takeover secondary outcome: Binary variable based on median response to Q7.1 in control group.
Restrictiveness of conditions to end takeover secondary outcome: Binary variable based on median response to Q7.2 in control group.
Bond support secondary outcome: Binary variable based on median response to Q47 in control group.
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After
To construct each subindex in the Texas study, subquestions related to each domain will be converted from a 7-point Likert scale of "Strongly Disagree" to "Strongly Agree" to numeric values of 1-7, summed, and standardized to have a mean of 0 and a standard deviation of one. Below the subquestions that contribute to each index are listed by their question numbers (see survey materials in "Supporting Documents and Materials"):
Index 1: 4 subquestions of Q6.1
Index 2: 4 subquestions of Q6.2
Index 3: 3 subquestions of Q6.3
Index 4: 5 subquestions of Q6.4
Index 5: 3 subquestions of Q6.5
The secondary outcomes that are shared across both studies are constructed as follows:
Length of takeover secondary outcome: Binary variable based on median response to Q7.1 in control group.
Restrictiveness of conditions to end takeover secondary outcome: Binary variable based on median response to Q7.2 in control group.
Bond support secondary outcome: Binary variable based on median response to Q47 in control group.
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