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Showing 1 to 15 of 171 results Save | Export
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Plonsky, Luke; Derrick, Deirdre J. – Modern Language Journal, 2016
Ensuring internal validity in quantitative research requires, among other conditions, reliable instrumentation. Unfortunately, however, second language (L2) researchers often fail to report and even more often fail to interpret reliability estimates beyond generic benchmarks for acceptability. As a means to guide interpretations of such estimates,…
Descriptors: Second Language Learning, Meta Analysis, Reliability, Sample Size
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Margulieux, Lauren; Ketenci, Tuba Ayer; Decker, Adrienne – Computer Science Education, 2019
Background and context: The variables that researchers measure and how they measure them are central in any area of research, including computing education. Which research questions can be asked and how they are answered depends on measurement. Objective: To summarize the commonly used variables and measurements in computing education and to…
Descriptors: Measurement Techniques, Standards, Evaluation Methods, Computer Science Education
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Smith, Tamarah; Smith, Samantha – International Journal of Teaching and Learning in Higher Education, 2018
The Research Methods Skills Assessment (RMSA) was created to measure psychology majors' statistics knowledge and skills. The American Psychological Association's Guidelines for the Undergraduate Major in Psychology (APA, 2007, 2013) served as a framework for development. Results from a Rasch analysis with data from n = 330 undergraduates showed…
Descriptors: Psychology, Statistics, Undergraduate Students, Item Response Theory
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Garvis, Susanne; Phillipson, Sivanes; Phillipson, Shane N. – Review of Research in Education, 2021
Early childhood education and care (ECEC) remains a priority area for public policy, internationally and in Australia. However, an analysis of empirical research published internationally up to 2008 has identified a bias toward positivist methodologies within a "scientific/psychological' rather than educational perspective and with a focus on…
Descriptors: Foreign Countries, Early Childhood Education, Educational Research, Research Methodology
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Unicomb, Rachael; Colyvas, Kim; Harrison, Elisabeth; Hewat, Sally – Journal of Speech, Language, and Hearing Research, 2015
Purpose: Case-study methodology studying change is often used in the field of speech-language pathology, but it can be criticized for not being statistically robust. Yet with the heterogeneous nature of many communication disorders, case studies allow clinicians and researchers to closely observe and report on change. Such information is valuable…
Descriptors: Case Studies, Research Methodology, Statistical Analysis, Change
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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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Lohmann, Sam; Diller, Karen R.; Phelps, Sue F. – portal: Libraries and the Academy, 2019
This case study discusses an assessment project in which a rubric was used to evaluate information literacy (IL) skills as reflected in undergraduate students' research papers. Subsequent analysis sought relationships between the students' IL skills and their contact with the library through various channels. The project proved far longer and more…
Descriptors: Performance Based Assessment, Information Literacy, Undergraduate Students, Research Papers (Students)
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Purpura, James E.; Brown, James Dean; Schoonen, Rob – Language Learning, 2015
In empirical applied linguistics research it is essential that the key variables are operationalized in a valid and reliable way, and that the scores are treated appropriately, allowing for a proper testing of the hypotheses under investigation. The current article addresses several theoretical and practical issues regarding the use of measurement…
Descriptors: Applied Linguistics, Language Research, Statistical Analysis, Validity
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Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
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Beaujean, A. Alexander – Practical Assessment, Research & Evaluation, 2014
A common question asked by researchers using regression models is, What sample size is needed for my study? While there are formulae to estimate sample sizes, their assumptions are often not met in the collected data. A more realistic approach to sample size determination requires more information such as the model of interest, strength of the…
Descriptors: Regression (Statistics), Sample Size, Sampling, Monte Carlo Methods
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Green, Teegan – Studies in Higher Education, 2016
Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013…
Descriptors: Higher Education, Educational Research, Structural Equation Models, Sample Size
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Tuncer, Murat – Journal of Education and Training Studies, 2017
The main aim of this study is to determine whether a significant difference exits among data collection with printed materials and with smart phones. The research was conducted with 282 teacher candidates who take pedagogical formation training. Three data collection tools were used throughout the study. As the results of the current research, no…
Descriptors: Test Reliability, Test Validity, Research Methodology, Handheld Devices
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Murawska, Jaclyn M.; Walker, David A. – Mid-Western Educational Researcher, 2017
In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…
Descriptors: Mixed Methods Research, Research Methodology, Visual Aids, Research Tools
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Rosas, Scott R.; Kane, Mary – Evaluation and Program Planning, 2012
The use of concept mapping in research and evaluation has expanded dramatically over the past 20 years. Researchers in academic, organizational, and community-based settings have applied concept mapping successfully without the benefit of systematic analyses across studies to identify the features of a methodologically sound study. Quantitative…
Descriptors: Concept Mapping, Research Methodology, Validity, Reliability
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Gagnon, Ryan J.; Stone, Garrett A.; Garst, Barry A. – Journal of Outdoor Recreation, Education, and Leadership, 2017
Critically examining common statistical approaches and their strengths and weaknesses is an important step in advancing recreation and leisure sciences. To continue this critical examination and to inform methodological decision making, this study compared three approaches to determine how alternative approaches may result in contradictory…
Descriptors: Recreation, Recreational Programs, Educational Research, Research Methodology
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