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Showing 1 to 15 of 74 results Save | Export
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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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Lawler, James; Joseph, Anthony – Information Systems Education Journal, 2017
Firms in industry continue to be attracted by the benefits of Big Data Analytics. The benefits of Big Data Analytics projects may not be as evident as frequently indicated in the literature. The authors of the study evaluate factors in a customized methodology that may increase the benefits of Big Data Analytics projects. Evaluating firms in the…
Descriptors: Finance Occupations, Data Analysis, Corporations, Governance
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Tourangeau, Karen; Nord, Christine; Lê, Thanh; Sorongon, Alberto G.; Hagedorn, Mary C.; Daly, Peggy; Najarian, Michelle – National Center for Education Statistics, 2015
This manual provides guidance and documentation for users of the kindergarten (or base year) data of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It begins with an overview of the ECLS-K:2011. Subsequent chapters provide details on the study data collection instruments and methods; the direct and indirect…
Descriptors: Children, Surveys, Longitudinal Studies, Kindergarten
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
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Bail, Christopher A. – Sociological Methods & Research, 2017
Social media websites such as Facebook and Twitter provide an unprecedented amount of qualitative data about organizations and collective behavior. Yet these new data sources lack critical information about the broader social context of collective behavior--or protect it behind strict privacy barriers. In this article, I introduce social media…
Descriptors: Data Collection, Social Media, Behavior, Surveys
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Tourangeau, Karen; Nord, Christine; Lê, Thanh; Wallner-Allen, Kathleen; Hagedorn, Mary C.; Leggitt, John; Najarian, Michelle – National Center for Education Statistics, 2015
This manual provides guidance and documentation for users of the longitudinal kindergarten-first grade (K-1) data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It mainly provides information specific to the first-grade rounds of data collection. Data for the ECLS-K:2011 are released in both a…
Descriptors: Children, Surveys, Longitudinal Studies, Kindergarten
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Gravley-Stack, Kara; Ray, Chris M.; Peterson, Claudette M. – Journal of Diversity in Higher Education, 2016
The research presented within this study focuses on the work of postsecondary institutional leaders, chief diversity officers (CDOs), who are change agents within the academy to address historical inequalities in education. Applying the Inclusive Excellence Change Model as the theoretical framework to guide this Q Method study, the researchers…
Descriptors: Q Methodology, College Administration, Administrators, Diversity (Institutional)
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Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
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McCormick, Tyler H.; Lee, Hedwig; Cesare, Nina; Shojaie, Ali; Spiro, Emma S. – Sociological Methods & Research, 2017
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users--a key component of much social science research--remains a…
Descriptors: Social Media, Social Science Research, Reliability, Behavior Patterns
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
APPA: Association of Higher Education Facilities Officers, 2014
This paper features an expanded Web-based "Facilities Performance Indicators (FPI) Report." The purpose of APPA's Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. "The Facilities Performance Indicators Report" is designed for survey…
Descriptors: Colleges, School Maintenance, Facility Guidelines, Educational Facilities
APPA: Association of Higher Education Facilities Officers, 2013
This paper provides an expanded Web-based "Facilities Performance Indicators (FPI) Report." The purpose of APPA's Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. APPA's Information and Research Committee's goal for this year was to enhance the…
Descriptors: Colleges, School Maintenance, Facility Guidelines, Educational Facilities
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Luck, Joe D.; Fulton, John P.; Rees, Jennifer – Journal of Extension, 2015
Three Precision Agriculture Data Management workshops regarding yield monitor data were conducted in 2014, reaching 62 participants. Post-workshop surveys (n = 58) indicated 73% of respondents experienced a moderate to significant increase in knowledge related to yield monitor data usage. Another 72% reported that they planned to utilize best…
Descriptors: Workshops, Data, Database Management Systems, Agricultural Education
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Hahs-Vaughn, Debbie L.; McWayne, Christine M.; Bulotsky-Shearer, Rebecca J.; Wen, Xiaoli; Faria, Ann-Marie – Evaluation Review, 2011
Complex survey data, as highlighted in this issue of "Evaluation Review", provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type of data. Thus, to ensure that research questions are…
Descriptors: Surveys, Data, Probability, Computer Software
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Chippindall, Jon – Primary Science, 2012
"SurveyMonkey" allows its users to create free online surveys. Its simple, intuitive interface has helped it to grow rapidly in popularity and it is used by a variety of organisations across the globe, from marketing firms to government offices. But teachers can use it successfully within the classroom as a multi-response tool for gathering…
Descriptors: Feedback (Response), Data Analysis, Adult Educators, Internet
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