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Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
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Chenail, Ronald J. – Qualitative Report, 2012
In the first of a series of "how-to" essays on conducting qualitative data analysis, Ron Chenail points out the challenges of determining units to analyze qualitatively when dealing with text. He acknowledges that although we may read a document word-by-word or line-by-line, we need to adjust our focus when processing the text for purposes of…
Descriptors: Qualitative Research, Data Analysis, Research Methodology, Reading
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Ferrari, Pier Alda; Barbiero, Alessandro – Multivariate Behavioral Research, 2012
The increasing use of ordinal variables in different fields has led to the introduction of new statistical methods for their analysis. The performance of these methods needs to be investigated under a number of experimental conditions. Procedures to simulate from ordinal variables are then required. In this article, we deal with simulation from…
Descriptors: Data, Statistical Analysis, Sampling, Simulation
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
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Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2011
Experimental data are analysed statistically to allow researchers to draw conclusions from a limited set of measurements. The hard fact is that researchers can never be certain that measurements from a sample will exactly reflect the properties of the entire group of possible candidates available to be studied (although using a sample is often the…
Descriptors: Educational Research, Statistical Inference, Data Interpretation, Probability
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McCoy, Jan D.; Braun-Monegan, Jenelle; Bettesworth, Leanne; Tindal, Gerald – Journal of Education and Practice, 2015
While problem solving as an instructional technique is widely advocated, educators are often challenged in effectively assessing student skill in this area. Students failing to solve a problem might fail in any of several aspects of the effort. The purpose of this research was to validate a scaffolded technique for assessing problem solving in…
Descriptors: Middle School Students, Scaffolding (Teaching Technique), Problem Solving, Science Education
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Odom, Summer F.; Andenoro, Anthony C.; Sandlin, M'Randa R.; Jones, Jaron L. – Journal of Leadership Education, 2015
Leadership educators are faced with the challenge of preparing students to serve organizations and people in dynamic and ever changing contexts. The purpose of this study was to examine undergraduate leadership students' self-perceived level of moral imagination to make recommendations for moral imagination curricula. Moral imagination is the…
Descriptors: Undergraduate Students, Student Leadership, Student Attitudes, Moral Values
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Brodeur, Pascale; Larose, Simon; Tarabulsy, George; Feng, Bei; Forget-Dubois, Nadine – Mentoring & Tutoring: Partnership in Learning, 2015
Researchers suggest that certain supportive behaviors of mentors could increase the benefits of school-based mentoring for youth. However, the literature contains few validated instruments to measure these behaviors. In our present study, we aimed to construct and validate a tool to measure the supportive behaviors of mentors participating in…
Descriptors: Foreign Countries, Mentors, Motivation, College Students
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Spiller, Lisa; Tuten, Tracy – Journal of Marketing Education, 2015
Modern digital and social media formats have revolutionized marketing measurement, producing an abundance of data, meaningful metrics, new tools, and methodologies. This increased emphasis on metrics in the marketing industry signifies the need for increased quantitative and critical thinking content in our marketing coursework if we are to…
Descriptors: Social Networks, Marketing, Measurement, Data Collection
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Casey, Stephanie A. – Journal of Statistics Education, 2015
The purpose of this research study was to learn about students' conceptions concerning the line of best fit just prior to their introduction to the topic. Task-based interviews were conducted with thirty-three students, focused on five tasks that asked them to place the line of best fit on a scatterplot and explain their reasoning throughout the…
Descriptors: Goodness of Fit, Statistical Analysis, Student Attitudes, Task Analysis
Hancock, Kenneth – Online Submission, 2015
This report is a longevity, simulational study that looks at how the ratio of state support to local support effects the number of school districts that breaks the common school's funding formula which in turns effects the equity of distribution to the common schools. After nearly two decades of adequately supporting the funding formula, Oklahoma…
Descriptors: Funding Formulas, Educational Finance, Financial Support, School Districts
Zahner, Doris; Steedle, Jeffrey T. – Council for Aid to Education, 2015
Some universities administer standardized tests to estimate school effects on student learning. To that end, many of those institutions choose to gather cross-sectional data (freshmen and seniors in the same academic year) rather than longitudinal data. The effects of this decision on institutional assessment results are generally unknown. The…
Descriptors: Longitudinal Studies, Case Studies, Postsecondary Education, Comparative Analysis
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Shear, Benjamin R.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2013
Type I error rates in multiple regression, and hence the chance for false positive research findings, can be drastically inflated when multiple regression models are used to analyze data that contain random measurement error. This article shows the potential for inflated Type I error rates in commonly encountered scenarios and provides new…
Descriptors: Error of Measurement, Multiple Regression Analysis, Data Analysis, Computer Simulation
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Jackson, Afton; Shannon, Lisa – International Journal of Mental Health and Addiction, 2013
The purpose of this study was to examine pregnant women's substance use from initial use, to recognition of problem severity, motivations for treatment, and ultimately to treatment entry. The sample consisted of 114 pregnant women receiving inpatient detoxification treatment at the University of Kentucky Chandler Medical Center. Qualitative and…
Descriptors: Pregnancy, Females, Qualitative Research, Severity (of Disability)
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Sokolova, G. N. – Russian Education and Society, 2013
In Belarus, the ways in which statistics are compiled, the complex rules for registering as unemployed, and the segmentation of the labor market and job-seeking activities, all combine to hide the actual levels of employment and unemployment. This in turn makes it difficult to develop appropriate and effective labor policies, and to have support…
Descriptors: Foreign Countries, Employment Patterns, Labor Market, Unemployment
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