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Mayhew, Matthew J.; Simonoff, Jeffrey S. – Research in Higher Education, 2015
The purpose of this paper is to describe effect coding as an alternative quantitative practice for analyzing and interpreting categorical, multi-raced independent variables in higher education research. Not only may effect coding enable researchers to get closer to respondents' original intentions, it allows for more accurate analyses of all race…
Descriptors: Multiracial Persons, College Students, Accuracy, Coding
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Linck, Jared A.; Cunnings, Ian – Language Learning, 2015
Second language acquisition researchers often face particular challenges when attempting to generalize study findings to the wider learner population. For example, language learners constitute a heterogeneous group, and it is not always clear how a study's findings may generalize to other individuals who may differ in terms of language background…
Descriptors: Research Methodology, Language Research, Language Proficiency, Second Language Learning
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Quinn, Anne – Mathematics Teacher, 2016
While looking for an inexpensive technology package to help students in statistics classes, the author found StatKey, a free Web-based app. Not only is StatKey useful for students' year-end projects, but it is also valuable for helping students learn fundamental content such as the central limit theorem. Using StatKey, students can engage in…
Descriptors: Statistics, Computer Oriented Programs, Technology Uses in Education, Teaching Methods
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Kidwell, Kelley M.; Hyde, Luke W. – American Journal of Evaluation, 2016
Heterogeneity between and within people necessitates the need for sequential personalized interventions to optimize individual outcomes. Personalized or adaptive interventions (AIs) are relevant for diseases and maladaptive behavioral trajectories when one intervention is not curative and success of a subsequent intervention may depend on…
Descriptors: Intervention, Individualized Programs, Child Behavior, Behavior Problems
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Boulton, Alex – Research-publishing.net, 2016
Good practice in primary research has evolved over many decades of research in applied linguistics to counter human fallibility and biases. Surprisingly, perhaps, synthesising such research in an entire field has only recently started to develop its own methodologies and recommendations. This paper outlines some of the issues involved, especially…
Descriptors: Computer Assisted Instruction, Second Language Learning, Statistical Analysis, Meta Analysis
Calderbank, Daniel, Ed. – UNESCO Bangkok, 2019
The Education 2030 Agenda calls for robust monitoring, reporting, and evaluating indicators from Early Childhood Education (ECE) to adult education. The new agenda demands clear indicators and measurement to generate evidence-based international discourses and advocacy. Ensuring availability of education data and statistics for evidence based…
Descriptors: Foreign Countries, Educational Development, Educational Indicators, Sustainable Development
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Liu, Xiaofeng Steven; Loudermilk, Brandon; Simpson, Thomas – Measurement in Physical Education and Exercise Science, 2014
Sample size can be chosen to achieve a specified width in a confidence interval. The probability of obtaining a narrow width given that the confidence interval includes the population parameter is defined as the power of the confidence interval, a concept unfamiliar to many practitioners. This article shows how to utilize the Statistical Analysis…
Descriptors: Sample Size, Statistical Analysis, Confidence Testing, Intervals
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Sanin, Francisco Gutierrez; Buitrago, Diana; Gonzalez, Andrea – Social Indicators Research, 2013
Political indicators are widely used in academic writing and decision making, but remain controversial. This paper discusses the problems related to the aggregation functions they use. Almost always, political indicators are aggregated by weighted averages or summations. The use of such functions is based on untenable assumptions (existence of…
Descriptors: Politics, Social Indicators, Statistical Analysis, Research Problems
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Haegele, Justin A.; Hodge, Samuel R. – Physical Educator, 2015
Emerging professionals, particularly senior-level undergraduate and graduate students in kinesiology who have an interest in physical education for individuals with and without disabilities, should understand the basic assumptions of the quantitative research paradigm. Knowledge of basic assumptions is critical for conducting, analyzing, and…
Descriptors: Statistical Analysis, Educational Research, Physical Education, Adapted Physical Education
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Hourigan, Mairéad; Leavy, Aisling – Teaching Children Mathematics, 2015
In this article the authors describe an instructional unit designed and taught in two classes of kindergarten children. The goals of the unit were to present a "driving question" to motivate the process of statistical investigation, to genuinely engage children in the stages of statistical investigation, and to facilitate them in…
Descriptors: Teaching Methods, Kindergarten, Statistics, Childrens Literature
Kajitani, Alex – Educational Horizons, 2015
In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…
Descriptors: Student Records, Scores, Statistical Data, Information Utilization
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Larson-Hall, Jenifer; Plonsky, Luke – Language Learning, 2015
This paper presents a set of guidelines for reporting on five types of quantitative data issues: (1) Descriptive statistics, (2) Effect sizes and confidence intervals, (3) Instrument reliability, (4) Visual displays of data, and (5) Raw data. Our recommendations are derived mainly from various professional sources related to L2 research but…
Descriptors: Guidelines, Statistical Analysis, Language Research, Second Language Learning
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Calm, Remei; Masià, Ramon; Olivé, Carme; Parés, Núria; Pozo, Francesc; Ripoll, Jordi; Sancho-Vinuesa, Teresa – Journal of Technology and Science Education, 2017
Calculus courses often present a large number of difficulties to undergraduate students of scientific studies, especially in engineering degrees. These difficulties are sometimes related to teaching and assessment strategies. In this paper, a teaching innovation experience is presented within the framework of the Universitat Oberta de Catalunya.…
Descriptors: Tests, Online Courses, Calculus, Mathematics Instruction
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Perry, Rebecca R.; Lewis, Catherine C. – Teaching Children Mathematics, 2017
The authors recently conducted a randomized controlled trial that showed a significant impact of teachers' lesson study, supported by mathematical resources, on both teachers' and students' understanding of fractions. The research and mathematical resources are described in the second part of this article. First the authors examine some of the…
Descriptors: Randomized Controlled Trials, Mathematics Instruction, Fractions, Mathematical Concepts
Fontichiaro, Kirstin; Oehrli, Jo Angela – Knowledge Quest, 2016
As many states move forward with adoption or adaptation of the College, Career, and Civic Life (C3) Framework for Social Studies State Standards, Common Core State Standards, and/or Next Generation Science Standards, students are expected to be fluent with data: to collect and analyze it, create figures and tables, integrate quantitative…
Descriptors: Information Literacy, Data Collection, Data Analysis, Skill Development
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