Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 22 |
Descriptor
Source
Author
Baloglu, Mustafa | 2 |
Kesici, Sahin | 2 |
Abbassi, Amir | 1 |
Adriana Escobedo-Land | 1 |
Akdal, Pinar | 1 |
Albert Y. Kim | 1 |
Alexander, Jalen | 1 |
Alhassan, Abukari | 1 |
Alhassan, Ibrahim | 1 |
Amstelveen, Raoul H. | 1 |
Ananda B. W. Manage | 1 |
More ▼ |
Publication Type
Journal Articles | 21 |
Reports - Research | 19 |
Dissertations/Theses -… | 1 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 22 |
Postsecondary Education | 22 |
Audience
Location
California | 2 |
Turkey | 2 |
Georgia | 1 |
Germany | 1 |
Ghana | 1 |
Netherlands | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 2 |
What Works Clearinghouse Rating
Juanjuan Niu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The internet, which is constantly advancing in technology, together with the rapidly changing internet communication technology terminals, has formed a new internet media, which has penetrated into all fields of human material life and spiritual life. This article proposes a design scheme for optimizing the impact of internet environment health on…
Descriptors: Influence of Technology, Internet, College Students, Ethical Instruction
Nyame, Faustina; Alhassan, Ibrahim; Alhassan, Abukari – Higher Education Studies, 2019
This paper examines students' perception of the impact of lecturers' ranks on their performance across departments in the Faculty of Mathematical Sciences (FMS) of the University for Development Studies (UDS), Navrongo Campus. The study used a self-designed structured questionnaire administered to 160 respondents (students) of the Faculty. All the…
Descriptors: Multivariate Analysis, Student Attitudes, Instructional Effectiveness, College Faculty
Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
Onwuegbuzie, Anthony J. – Journal of Educational Issues, 2016
Several authors have written methodological works that provide an introductory- and/or intermediate-level guide to conducting mixed analyses. Although these works have been useful for beginning and emergent mixed researchers, with very few exceptions, works are lacking that describe and illustrate advanced-level mixed analysis approaches. Thus,…
Descriptors: Multivariate Analysis, Mixed Methods Research, Measurement Techniques, Qualitative Research
Baloglu, Mustafa; Abbassi, Amir; Kesici, Sahin – Education, 2017
In general, anxiety has been found to be associated with motivational beliefs and the current study investigated multivariate relationships between statistics anxiety and motivational beliefs among 305 college students (60.0% women). The Statistical Anxiety Rating Scale, the Motivated Strategies for Learning Questionnaire, and a set of demographic…
Descriptors: Multivariate Analysis, Mathematics Anxiety, Statistics, Student Attitudes
J. S. Hardin; G. Sarkis; P. . URC – Journal of Statistics Education, 2015
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article's focus on centrality, students can explore…
Descriptors: Network Analysis, Electronic Mail, Undergraduate Study, Statistical Analysis
Huang, Xiaoxia – Interactive Learning Environments, 2017
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly)…
Descriptors: Teaching Methods, Problem Solving, Academic Achievement, Cognitive Processes
Nguyen, ThuyUyen H.; Charity, Ian; Robson, Andrew – Studies in Higher Education, 2016
This study investigates students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement in higher education. Guided by learning environments concepts and attitudinal theory, a theoretical model was proposed with two instruments, one for measuring the learning environment and…
Descriptors: Foreign Countries, Higher Education, Student Attitudes, Academic Achievement
Simmons, Gerald R. – Journal of Education for Business, 2014
The purpose of this study was to compare the performance of three teaching modes and age groups of business statistics sections in terms of course exam scores. The research questions were formulated to determine the performance of the students within each teaching mode, to compare each mode in terms of exam scores, and to compare exam scores by…
Descriptors: Business Administration Education, Statistics, Comparative Analysis, College Mathematics
Ciftci, S. Koza; Karadag, Engin; Akdal, Pinar – Journal of Educational Computing Research, 2014
The purpose of this study was to determine the effect of statistics instruction using computer-based tools, on statistics anxiety, attitude, and achievement. This study was designed as quasi-experimental research and the pattern used was a matched pre-test/post-test with control group design. Data was collected using three scales: a Statistics…
Descriptors: Statistics, Mathematics Instruction, Computer Uses in Education, Mathematics Anxiety
Yan, Jie; Lavigne, Nancy C. – Journal of Experimental Education, 2014
Statistics learners often bypass the critical step of understanding a problem before executing solutions. Worked-out examples that identify problem information (e.g., data type, number of groups, purpose of analysis) key to determining a solution (e.g., "t" test, chi-square, correlation) can address this concern. The authors examined the…
Descriptors: College Students, Statistics, Mathematics Instruction, College Mathematics
Ananda B. W. Manage; Stephen M. Scariano – Journal of Statistics Education, 2013
Principal Component Analysis is widely used in applied multivariate data analysis, and this article shows how to motivate student interest in this topic using cricket sports data. Here, principal component analysis is successfully used to rank the cricket batsmen and bowlers who played in the 2012 Indian Premier League (IPL) competition. In…
Descriptors: Factor Analysis, Multivariate Analysis, Data Analysis, Student Interests
Kesici, Sahin; Baloglu, Mustafa; Deniz, M. Engin – Learning and Individual Differences, 2011
Dealing with students' attitudinal problems related to statistics is an important aspect of statistics instruction. Employing the appropriate learning strategies may have a relationship with anxiety during the process of statistics learning. Thus, the present study investigated multivariate relationships between self-regulated learning strategies…
Descriptors: Learning Strategies, Self Management, Statistics, Mathematics Anxiety
Niculescu, Alexandra C.; Templelaar, Dirk; Leppink, Jimmie; Dailey-Hebert, Amber; Segers, Mien; Gijselaers, Wim – Electronic Journal of Research in Educational Psychology, 2015
Introduction: This study examined the predictive value of four learning-related emotions--Enjoyment, Anxiety, Boredom and Hopelessness for achievement outcomes in the first year of study at university. Method: We used a large sample (N = 2337) of first year university students enrolled over three consecutive academic years in a mathematics and…
Descriptors: College Freshmen, College Mathematics, Psychological Patterns, Predictor Variables
Dierker, Lisa; Alexander, Jalen; Cooper, Jennifer L.; Selya, Arielle; Rose, Jennifer; Dasgupta, Nilanjana – International Journal for the Scholarship of Teaching and Learning, 2016
Introductory statistics needs innovative, evidence-based teaching practices that support and engage diverse students. To evaluate the success of a multidisciplinary, project-based course, we compared experiences of under-represented (URM) and non-underrepresented students in 4 years of the course. While URM students considered the material more…
Descriptors: College Students, Statistics, Introductory Courses, Inquiry
Previous Page | Next Page ยป
Pages: 1 | 2