NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 616 to 630 of 54,714 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Cheung, Mike W.-L. – Research Synthesis Methods, 2019
Meta-analysis and structural equation modeling (SEM) are 2 of the most prominent statistical techniques employed in the behavioral, medical, and social sciences. They each have their own well-established research communities, terminologies, statistical models, software packages, and journals ("Research Synthesis Methods" and…
Descriptors: Structural Equation Models, Meta Analysis, Statistical Analysis, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Xi; Liu, Yang; Robin, Frederic; Guo, Hongwen – International Journal of Testing, 2019
In an on-demand testing program, some items are repeatedly used across test administrations. This poses a risk to test security. In this study, we considered a scenario wherein a test was divided into two subsets: one consisting of secure items and the other consisting of possibly compromised items. In a simulation study of multistage adaptive…
Descriptors: Identification, Methods, Test Items, Cheating
Peer reviewed Peer reviewed
Direct linkDirect link
Nájera, Pablo; Sorrel, Miguel A.; Abad, Francisco José – Educational and Psychological Measurement, 2019
Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…
Descriptors: Matrices, Statistical Analysis, Models, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Kerry, Matthew James; DeSimone, Justin A. – Learning Organization, 2019
Purpose: The purpose of this paper is to reexamine exploration-exploitation's reciprocality in organizational ambidexterity (OA) research. OA figures prominently in a variety of organization science phenomena. Introduced as a two-stage model for innovation, theory specifies reciprocal reinforcement between the OA processes of exploration (eR) and…
Descriptors: Business Administration, Organizational Theories, Performance, Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Stone, Maureen; Gomez, Arnold D.; Zhuo, Jiachen; Tchouaga, Ange Lydie; Prince, Jerry L. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Anterior tongue shape during /s/ production is often described as "tip-up" or apical, versus "tipdown" or laminal. Typically, this is determined by observing the shape of the anterior midline tongue. The purpose of this study was to identify methods of curvature calculation that quantify the observed shape differences…
Descriptors: Human Body, Differences, Speech, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Trafimow, David – International Journal of Social Research Methodology, 2019
Although the null hypothesis significance testing procedure is problematic, many still favor the use of "p"-values as indicating the state of evidence against the model used to generate the "p"-value. From this perspective, "p"-values benefit science; or would benefit science if used correctly. In contrast, the novel…
Descriptors: Hypothesis Testing, Models, Taxonomy, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Astivia, Oscar L. Olvera; Zumbo, Bruno D. – Journal of Educational and Behavioral Statistics, 2019
The Vale and Maurelli algorithm is a widely used method that allows researchers to generate multivariate, nonnormal data with user-specified levels of skewness, excess kurtosis, and a correlation structure. Before obtaining the desired correlation structure, a transitional step requires the user to calculate the roots of a cubic polynomial…
Descriptors: Equations (Mathematics), Correlation, Statistical Analysis, Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Casas-Rosal, José Carlos; Caridad y Ocerín, José María; Núñez-Tabales, Julia M.; León-Mantero, Carmen – Teaching Statistics: An International Journal for Teachers, 2019
This paper presents the operation of the educational software, Real Estate Data Analyzer, to teachers and future teachers. It is a specific software that allows students carry out complete statistical analysis projects on the characteristics of the buildings that surround them.
Descriptors: Statistical Analysis, Computer Software, Teaching Methods, Real Estate
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Xinmeng, Ye; Si, Tian; Fangrong, Ren – Online Submission, 2019
This paper aims to understand students' health literacy condition at a university in Jiangsu Province by determining possible influencing factors, and to give suggestions to improve health literacy education. A total of 165 first, second, and third-year students completed the Mandarin Health Literacy Scale (MHLS) questionnaire. Statistical…
Descriptors: Multiple Literacies, Health, Statistical Analysis, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Cashing, Doug – Teaching Statistics: An International Journal for Teachers, 2018
This article offers some less-than-rigorous explanations for the notion of degrees of freedom, and for the particular formulae to be used when computing those values.
Descriptors: Computation, Statistics, Statistical Analysis, Mathematical Formulas
Peer reviewed Peer reviewed
Direct linkDirect link
Courtney, Matthew G. R.; Chang, Kevin C. – Teaching Statistics: An International Journal for Teachers, 2018
The article presents some notes on normalization and illustrates these procedures using graphing functions in R. Using real data, the paper also presents an R package and online Shiny app that efficiently transforms variables in large datasets.
Descriptors: Statistical Analysis, Graphs, Computer Oriented Programs
Anqi Zhao; Peng Ding; Tirthankar Dasgupta – Grantee Submission, 2018
Given two 2-level factors of interest, a 2[superscript 2] split-plot design (a) takes each of the 2 [superscript 2] = 4 possible factorial combinations as a treatment, (b) identifies one factor as `whole-plot,' (c) divides the experimental units into blocks, and (d) assigns the treatments in such away that all units within the same block receive…
Descriptors: Statistical Inference, Computation, Statistical Analysis, Sampling
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sarfo, Jacob Owusu; García-Santillán, Arturo; Adusei, Henry; Molchanova, Violetta S.; Drushlyak, Marina; Semenikhina, Olena; Donyeh, Philip Soyiri; Zand, Somayeh; Najafi, Reza; Enea, Violeta; Malik, Sadia; Ashraf, Farzana; Malik, Najma Iqbal; Ansah, Edward Wilson; Wongcharee, Hattaphan; Egara, Felix O.; Tipandjan, Arun; Cudjoe, Josephine; Azam, Uzma; Hassan, Mohammed Salah; Helmy, Mai; Vally, Zahir – European Journal of Contemporary Education, 2020
Mathematics anxiety (MA) has a debilitating impact on learning, achievement, mental health, and the future career life of students. Though MA is a popular research theme, there is little agreement among researchers regarding the cross-cultural effect of gender. The purpose of this paper was to explore the perceived MA differences among males and…
Descriptors: Gender Differences, Mathematics Anxiety, Cross Cultural Studies, Statistical Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Allanson, Patricia E.; Notar, Charles E. – Education Quarterly Reviews, 2020
This article discusses the basics of the "4 scales of measurement" and how they are applicable to research or everyday tools of life. To do this you will be able to list and describe the four types of scales of measurement used in quantitative research; provide examples of uses of the four scales of measurement; and determine the…
Descriptors: Statistical Analysis, Measurement, Statistics, Qualitative Research
Peer reviewed Peer reviewed
Direct linkDirect link
Shen, Zuchao; Kelcey, Benjamin – Journal of Educational and Behavioral Statistics, 2020
Conventional optimal design frameworks consider a narrow range of sampling cost structures that thereby constrict their capacity to identify the most powerful and efficient designs. We relax several constraints of previous optimal design frameworks by allowing for variable sampling costs in cluster-randomized trials. The proposed framework…
Descriptors: Sampling, Research Design, Randomized Controlled Trials, Statistical Analysis
Pages: 1  |  ...  |  38  |  39  |  40  |  41  |  42  |  43  |  44  |  45  |  46  |  ...  |  3648