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Showing 1 to 15 of 26 results Save | Export
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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
Charlotte Cabili; Natalie Reid; Carla Chavez; Aden Bhagwat; Davis Straske; Will Ratner; Victoria Sims; Xinwei Li; Tutrang Nguyen; Xiaofan Sun; Jeani Choe; Jeff Harrington; Addison Larson; Judy Cannon – Office of Planning, Research and Evaluation, 2024
This report includes information on the 2021-2022 Study of Family and Staff Experiences in American Indian and Alaska Native Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study). The 2021-2022 Study collected data from children's parents, teachers, center directors, and program directors in Region XI Head Start programs in…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
Doran, Elizabeth; Reid, Natalie; Bernstein, Sara; Nguyen, Tutrang; Dang, Myley; Li, Ann; Kopack Klein, Ashley; Rakibullah, Sharika; Scott, Myah; Cannon, Judy; Harrington, Jeff; Larson, Addison; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
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Fellers, Pamela S.; Kuiper, Shonda – Journal of Statistics Education, 2020
Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and…
Descriptors: Statistics, Introductory Courses, Teaching Methods, Concept Formation
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Whitley, Cameron T.; Dietz, Thomas – Teaching Sociology, 2018
Thirty years ago, Hubert M. Blalock Jr. published an article in "Teaching Sociology" about the importance of teaching statistics. We honor Blalock's legacy by assessing how using Amazon Mechanical Turk (MTurk) in statistics classes can enhance student learning and increase statistical literacy among social science gradaute students. In…
Descriptors: Graduate Students, Statistics, Teaching Methods, Social Science Research
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Quinn, Anne; Larson, Karen – Mathematics Teacher, 2016
Consistent with the Common Core State Standards for Mathematics (CCSSI 2010), the authors write that they have asked students to do statistics projects with real data. To obtain real data, their students use the free Web-based app, Census at School, created by the American Statistical Association (ASA) to help promote civic awareness among school…
Descriptors: Statistical Analysis, Technology Uses in Education, Mathematics Instruction, Statistics
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Anyieni, Abel G.; Areri, Damaris K. – Journal of Education and Practice, 2016
Past research have pointed out that excellent strategies have been written but extremely small have been accomplished in their implementation. It has additionally been proposed that only 10% of formulated strategies are successfully implemented. However, crafting the best strategy is not the end in itself but the ultimate result will only be…
Descriptors: Strategic Planning, Program Implementation, Secondary Schools, Foreign Countries
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Cross Francis, Dionne I.; Hudson, Rick A.; Lee, Mi Yeon; Rapacki, Lauren; Vesperman, Crystal Marie – Teaching Children Mathematics, 2014
Statistical literacy is essential in everyone's personal lives as consumers, citizens, and professionals. To make informed life and professional decisions, students are required to read, understand, and interpret vast amounts of information, much of which is quantitative. To develop statistical literacy so students are able to make sense of…
Descriptors: Mathematics Instruction, Statistics, Mathematical Logic, Problem Solving
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Chazan-Cohen, Rachel; Halle, Tamara G.; Barton, Lauren R.; Winsler, Adam – Early Childhood Research Quarterly, 2012
We are delighted to reflect on the 10 papers highlighted in this important special issue of "Early Childhood Research Quarterly" devoted to recent secondary data analyses of the FACES and EHSREP datasets. First, we provide some background on Head Start research and give an overview of the large-scale Head Start and Early Head Start…
Descriptors: Preschool Education, Disadvantaged Youth, Child Development, Surveys
Ramirez-Faghih, Caroline Ann – ProQuest LLC, 2012
The goal of this study was to examine the reciprocal relationship between statistical investigation and motivation of college students in a Mathematical Reasoning course (Math 1). Unlike previous studies in which students' projects or statistical investigations have been examined as the final product that shows evidence of statistical…
Descriptors: College Students, Statistics, Thinking Skills, Mathematical Logic
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
Chatman, Steve – Center for Studies in Higher Education, 2011
This study of the 2011 administration focused on principal component scores based on the 2008 and 2009 SERU (Student Experience in the Research University) administrations. The first analysis is a traditional nonresponse examination where the response rates of various groups are compared to determine if the responding students represent the larger…
Descriptors: Grade Point Average, Statistical Analysis, Student Experience, Higher Education
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Moreira da Silva, Mauren Porciúncula; Pinto, Suzi Samá – Statistics Education Research Journal, 2014
This paper aims to reflect on the teaching of statistics through student research, in the form of projects carried out by students on self-selected topics. The paper reports on a study carried out with two undergraduate classes using a methodology of teaching that we call "learning projects." Monitoring the development of the various…
Descriptors: Statistics, Learning Activities, Student Projects, Student Research
Neddeau, Browning – ProQuest LLC, 2013
The National Center of Education Statistics' Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K) data were used to explore the curricular emphasis in schools of varying socioeconomic status in both public and private schools. Data collected between 1998 and 2003 were used in the secondary analyses of curricular emphasis in…
Descriptors: Academic Achievement, Grade 1, Grade 3, Grade 5
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Bailey, Brad; Spence, Dianna J.; Sinn, Robb – Journal of Statistics Education, 2013
Researchers and statistics educators consistently suggest that students will learn statistics more effectively by conducting projects through which they actively engage in a broad spectrum of tasks integral to statistical inquiry, in the authentic context of a real-world application. In keeping with these findings, we share an implementation of…
Descriptors: Statistics, Curriculum Implementation, Discovery Learning, Learning Activities
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