Appendix: Methodology

L. Roth
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引用次数: 2

Abstract

In order to measure the actual time spent on the New York State mandated ELA and math exam days for grades 3 through 8, a statewide survey of teachers and test proctors was conducted. This was a web administered survey, with email invitations. Sampling To construct a sampling frame of all the schools in the state, we began with the 2014-15 School Directory and General Information database. This is a database of 7242 schools, publicly available on the NYSED website. First we deleted any records that were non-public schools (1745), leaving 5497 records. Since this file contained both school-and district-level records, we then deleted all district-level records (719), leaving 4778 records. In order to limit the file to the targeted population of grades 3-8, we then deleted any records coded as Other (2), Pre-K only (9), Senior High Schools (888), and any records with missing data in the grade organization field (65). This left 3814 remaining records – representing our sample frame, the universe – coded as K-12 In order to identify teachers to survey, we developed a process for randomly selecting one teacher from each building in the sampling frame. Two fields were added and coded for each record in the file of 3814 school buildings: a name code A-Z and an order code F-L-M. Utilizing these codes, student research assistants visited each district/school website and added a teacher email to the database utilizing the following selection process for teacher emails: the name code alphabetically narrowed the selection to the list of teachers with a last name starting Records Total records in original SED file 7242 Less non-public schools-1745
附录:方法
为了测量纽约州规定的3至8年级的ELA和数学考试的实际时间,对全州的教师和监考人员进行了调查。这是一项网络管理的调查,通过电子邮件发出邀请。为了构建该州所有学校的抽样框架,我们从2014-15学校目录和一般信息数据库开始。这是一个包含7242所学校的数据库,可以在纽约教育局网站上公开获取。首先,我们删除了所有非公立学校的记录(1745),留下5497条记录。由于该文件同时包含学校和学区级别的记录,因此我们删除了所有学区级别的记录(719条),留下4778条记录。为了将文件限制在3-8年级的目标人群中,我们随后删除了编码为Other(2)、Pre-K only(9)、High - High Schools(888)的记录,以及年级组织字段中缺失数据的记录(65)。这就留下了3814条剩余的记录——代表我们的样本框架,宇宙——编码为K-12。为了确定要调查的教师,我们开发了一个流程,在抽样框架中从每栋楼随机选择一名教师。为3814所学校建筑文件中的每条记录添加两个字段并进行编码:名称代码a - z和订单代码F-L-M。利用这些代码,学生研究助理访问了每个地区/学校的网站,并利用以下教师电子邮件的选择过程将教师电子邮件添加到数据库中:名称代码按字母顺序将选择范围缩小到姓氏以字母开头的教师列表。原始SED文件中的记录总数为7242,非公立学校总数为1745
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