NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)3
Since 2006 (last 20 years)8
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 12 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Adetona, Abel Adekanmi – International Journal of Evaluation and Research in Education, 2017
The study aimed at assessing how students and teachers factor taken together influence students' achievement in Statistics as well as their relative contribution to the prediction. Two research questions were raised and purposive sampling was adopted to select national diploma year 2 students since they are already in their final level in the…
Descriptors: Teacher Student Relationship, Statistics, Academic Achievement, Foreign Countries
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bourne, Victoria J. – Psychology Teaching Review, 2018
Statistics anxiety is experienced by a large number of psychology students, and previous research has examined a range of potential correlates, including academic performance, mathematical ability and psychological predictors. These varying predictors are often considered separately, although there may be shared variance between them. In the…
Descriptors: Statistics, Mathematics Skills, Academic Ability, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Snell, Joel C.; Marsh, Mitchell – Education, 2012
Multiple regression is part of a larger statistical strategy originated by Gauss. The authors raise questions about the theory and suggest some changes that would make room for Mandelbrot and Serendipity.
Descriptors: Multiple Regression Analysis, Statistics, Measurement, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Meneses, Julio; Fabregues, Sergi; Rodriguez-Gomez, David; Ion, Georgeta – Computers & Education, 2012
In recent years there has been widespread interest in the implementation of information and communication technologies (ICT) in schools. While most studies primarily focus on the use of ICT in teaching and learning, little attention has been given to their incorporation as a professional tool outside the classroom. Using a digital inequality…
Descriptors: Secondary Schools, Information Technology, Foreign Countries, Internet
Peer reviewed Peer reviewed
Direct linkDirect link
Hood, Michelle – Australasian Journal of Educational Technology, 2013
This study examined predictors of students' intentions to access face-to-face (f2f) or online options for lectures and tutorials in a buffet-style blended learning 2nd-year psychology statistics course ("N" = 113; 84% female). Students were aged 18 to 51 years ("M" = 23.16; "SD"= 6.80). Practical and technological…
Descriptors: Blended Learning, Intention, Online Courses, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Martin, David – Journal of Statistics Education, 2008
This note presents a spreadsheet tool that allows teachers the opportunity to guide students towards answering on their own questions related to the multiple regression F-test, the t-tests, and multicollinearity. The note demonstrates approaches for using the spreadsheet that might be appropriate for three different levels of statistics classes,…
Descriptors: Statistics, Instruction, Teaching Methods, Answer Keys
Peer reviewed Peer reviewed
Direct linkDirect link
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Peer reviewed Peer reviewed
Leitner, Dennis W. – Multiple Linear Regression Viewpoints, 1978
A suppressor variable is a regressor in a multiple regression which contributes more to the squared multiple correlation than the magnitude of its simple correlation with the outcome variable. An example of such a situation is provided for teaching purposes. (JKS)
Descriptors: Higher Education, Multiple Regression Analysis, Predictor Variables, Statistics
Kokosh, John – 1979
A procedure for rapid screening of variables as potential moderators is presented and discussed. A moderator is defined as any variable which can be used to identify differentially predictable persons; or defined statistically by stating that if a predictor and a moderator are each divided into three or more categories and used as independent…
Descriptors: Analysis of Variance, Discriminant Analysis, Item Analysis, Multiple Regression Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Vaughan, Timothy S.; Berry, Kelly E. – Journal of Statistics Education, 2005
This article presents an in-class Monte Carlo demonstration, designed to demonstrate to students the implications of multicollinearity in a multiple regression study. In the demonstration, students already familiar with multiple regression concepts are presented with a scenario in which the "true" relationship between the response and…
Descriptors: Predictor Variables, Computation, Lesson Plans, Statistics
Conger, Anthony J.; Jackson, Douglas N. – 1970
The suppressor variable, a variable wholly uncorrelated with a criterion, but which nevertheless improves prediction because of its relationship with a predictor, is critically examined. For a suppressor so defined, formal identities are shown with part, partial, and multiple correlational procedures. It is demonstrated that if maximum prediction…
Descriptors: Analysis of Variance, Correlation, Criteria, Mathematical Concepts