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Tipton, Elizabeth – Society for Research on Educational Effectiveness, 2012
The purpose of this paper is to develop a more general method for sample recruitment in experiments that is purposive (not random) and that results in a sample that is compositionally similar to the generalization population. This work builds on Tipton et al. (2011) by offering solutions to a larger class of problems than the non-overlapping…
Descriptors: Sampling, Experiments, Statistical Studies, Generalization
Wilson-Doenges, Georjeanna – New Directions for Teaching and Learning, 2013
This chapter will provide potential models for analyzing learning data through a discussion of screening data and then analyzing that data using appropriate statistical techniques.
Descriptors: Models, Statistical Analysis, Statistical Data, Academic Achievement
Ejionueme, L. K.; Oyoyo, Anthonia Oluchi – Journal of Education and Practice, 2015
The study was conducted to investigate the application of Total Quality Management (TQM) in secondary school administration in Umuahia Education Zone. Three research questions and one null hypothesis guided the study. Descriptive survey design was employed for the study. The population of the study comprised 1365 administrators. Multi-stage…
Descriptors: Foreign Countries, Total Quality Management, Secondary Schools, School Administration
Forbes, Sharleen – Journal of Statistics Education, 2014
New Zealand has been leading the world in terms of the data handling, and in more recent years, data visualisation approach in its school statistics curriculum. In 2013, bootstrapping and randomisation were added to the senior secondary school (Ministry of Education 2012). This paper gives an historical perspective of the people and groups that…
Descriptors: Foreign Countries, Statistical Studies, Mathematics Education, Numeracy
Fakis, Apostolos; Hilliam, Rachel; Stoneley, Helen; Townend, Michael – Journal of Mixed Methods Research, 2014
Background: A systematic literature review was conducted on mixed methods area. Objectives: The overall aim was to explore how qualitative information from interviews has been analyzed using quantitative methods. Methods: A contemporary review was undertaken and based on a predefined protocol. The references were identified using inclusion and…
Descriptors: Statistical Analysis, Qualitative Research, Interviews, Literature Reviews
Zhang, Xiuyuan; Patel, Priyank; Ewing, Maureen – College Board, 2015
Historically, AP Potential™ correlations and expectancy tables have been based on 10th-and 11th-grade PSAT/NMSQT® examinees and 11th-and 12th-grade AP® examinees for all subjects (Zhang, Patel, & Ewing,2014; Ewing, Camara, & Millsap, 2006; Camara & Millsap, 1998). However, a large number of students take AP European History and AP…
Descriptors: Grade 4, Scores, Prediction, European History
Groen, Jeffrey A. – Education Finance and Policy, 2016
The goal of this paper is to estimate the impact of labor demand on time to the doctorate. Empirical investigation of this relationship in previous research was hampered by the difficulty of measuring labor demand. I construct a measure of labor demand in seven fields in the humanities and social sciences based on the annual number of job listings…
Descriptors: Labor Needs, Doctoral Programs, Time to Degree, Occupational Information
Rybanov, Alexander Aleksandrovich – Turkish Online Journal of Distance Education, 2014
The article offers the educational information quantization method for improving content quality in Learning Management Systems. The paper considers questions concerning analysis of quality of quantized presentation of educational information, based on quantitative text parameters: average frequencies of parts of speech, used in the text; formal…
Descriptors: Integrated Learning Systems, Management Systems, Electronic Learning, Educational Research
Zamarro, Gema; Anderson, Kaitlin; Steele, Jennifer; Miller, Trey – Society for Research on Educational Effectiveness, 2016
The purpose of this study is to study the performance of different methods (inverse probability weighting and estimation of informative bounds) to control for differential attrition by comparing the results of different methods using two datasets: an original dataset from Portland Public Schools (PPS) subject to high rates of differential…
Descriptors: Data Analysis, Student Attrition, Evaluation Methods, Evaluation Research
Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok – Career and Technical Education Research, 2012
Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent…
Descriptors: Research Methodology, Statistical Analysis, Data Collection, Pattern Recognition
Wells, Ryan S.; Kolek, Ethan A.; Williams, Elizabeth A.; Saunders, Daniel B. – Journal of Higher Education, 2015
This study replicates and extends a 2004 content analysis of three major higher education journals. The original study examined the methodological characteristics of all published research in these journals from 1996 to 2000, recommending that higher education programs adjust their graduate training to better match the heavily quantitative and…
Descriptors: Research Methodology, Higher Education, Journal Articles, Educational Research
Boone, Harry N., Jr.; Boone, Deborah A. – Journal of Extension, 2012
This article provides information for Extension professionals on the correct analysis of Likert data. The analyses of Likert-type and Likert scale data require unique data analysis procedures, and as a result, misuses and/or mistakes often occur. This article discusses the differences between Likert-type and Likert scale data and provides…
Descriptors: Likert Scales, Data Analysis, Extension Agents, Extension Education
Humphrey, Patricia – Teaching Statistics: An International Journal for Teachers, 2012
An in-class activity is described that can be used not only to motivate hypothesis testing, but also to understand and compute the p-value and power in a statistical test. (Contains 3 figures.)
Descriptors: Hypothesis Testing, Class Activities, Science Course Improvement Projects, Statistical Studies
Richards, Kate; Davies, Neville – Teaching Statistics: An International Journal for Teachers, 2012
This article tackles the problem of what should be done with real textual data that are contaminated by errors of recording, particularly when the data contain words that are misspelt, unintentionally or otherwise. (Contains 5 tables and 2 figures.)
Descriptors: Error Analysis (Language), Error of Measurement, Research Problems, Statistics
Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences