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Pek, Jolynn; Van Zandt, Trisha – Psychology Learning and Teaching, 2020
Statistical thinking is essential to understanding the nature of scientific results as a consumer. Statistical thinking also facilitates thinking like a scientist. Instead of emphasizing a "correct" procedure for data analysis and its outcome, statistical thinking focuses on the process of data analysis. This article reviews frequentist…
Descriptors: Bayesian Statistics, Thinking Skills, Data Analysis, Evaluation Methods
Bergeron, Pierre-Jérôme – McGill Journal of Education, 2017
This paper presents a critical analysis, from the point of view of a statistician, of the methodology used by Hattie in "Visible Learning," and explains why it must absolutely be called pseudoscience. We first discuss what appears to be the intentions of Hattie's approach. Then we describe the major mistakes in "Visible…
Descriptors: Scientific Concepts, Misconceptions, Statistics, Teaching Methods
Spencer, Neil H.; Lay, Margaret; Kevan de Lopez, Lindsey – International Journal of Social Research Methodology, 2017
When undertaking quantitative hypothesis testing, social researchers need to decide whether the data with which they are working is suitable for parametric analyses to be used. When considering the relevant assumptions they can examine graphs and summary statistics but the decision making process is subjective and must also take into account the…
Descriptors: Evaluation Methods, Decision Making, Hypothesis Testing, Social Science Research
Martin, Andrew P. – International Journal of Higher Education, 2018
Two-stage exams have gained traction in education as a means of creating collaborative active-learning experiences in the classroom in a manner that advances learning, positively increases student engagement, and reduces test anxiety. Published analyses have focused almost exclusively on the increase in student scores from the first individual…
Descriptors: Active Learning, Learning Experience, Scores, Tests
Orcan, Fatih – ProQuest LLC, 2013
Parceling is referred to as a procedure for computing sums or average scores across multiple items. Parcels instead of individual items are then used as indicators of latent factors in the structural equation modeling analysis (Bandalos 2002, 2008; Little et al., 2002; Yang, Nay, & Hoyle, 2010). Item parceling may be applied to alleviate some…
Descriptors: Structural Equation Models, Evaluation Methods, Simulation, Sample Size
Khan, R. Nazim – International Journal of Mathematical Education in Science and Technology, 2015
Open book assessment is not a new idea, but it does not seem to have gained ground in higher education. In particular, not much literature is available on open book examinations in mathematics and statistics in higher education. The objective of this paper is to investigate the appropriateness of open book assessments in a first-year business…
Descriptors: Evaluation Methods, Higher Education, Mathematics Tests, Statistics
Rodriguez, Clemente; Gutierrez-Perez, Jose; Pozo, Teresa – Electronic Journal of Research in Educational Psychology, 2010
Introduction: This research seeks to determine the influence exercised by a set of presage and process variables (students' pre-existing opinion towards statistics, their dedication to mastery of statistics content, assessment of the teaching materials, and the teacher's effort in the teaching of statistics) in students' resolution of activities…
Descriptors: Undergraduate Students, Student Attitudes, Program Effectiveness, Instructional Materials
Rona Carter; Wendy K. Silverman; James Jaccard – Journal of Clinical Child and Adolescent Psychology, 2011
This study evaluated whether pubertal development and gender role orientation (i.e., masculinity and femininity) can partially explain sex variations in youth anxiety symptoms among clinic-referred anxious youth (N = 175; ages 9-13 years; 74% Hispanic; 48% female). Using youth and parent ratings of youth anxiety symptoms, structural equation…
Descriptors: Structural Equation Models, Sex Role, Sexual Identity, Puberty
Feng, Xingdong – ProQuest LLC, 2009
Probe-level microarray data are usually stored in matrices. Take a given probe set (gene), for example, each row of the matrix corresponds to an array, and each column corresponds to a probe. Often, people summarize each array by the gene expression level. Is one number sufficient to summarize a whole probe set for a specific gene in an array?…
Descriptors: Intervals, Computation, Genetics, Data Analysis
Vitinš, Maris; Rasnacs, Oskars – Informatics in Education, 2012
Information and communications technologies today are used in virtually any university course when students prepare their papers. ICT is also needed after people are graduated from university and enter the job market. This author is an instructor in the field of informatics related to health care and social sciences at the Riga Stradins…
Descriptors: Educational Technology, Assignments, Information Science, Data Processing
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…
Descriptors: Electronic Learning, Educational Technology, Online Courses, Educational Environment
Rutkowski, Leslie; Gonzalez, Eugenio; Joncas, Marc; von Davier, Matthias – Educational Researcher, 2010
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a…
Descriptors: Research Methodology, Measures (Individuals), Data Analysis, Databases
Nelson, Dean – Journal of Statistics Education, 2009
Following the Guidelines for Assessment and Instruction in Statistics Education (GAISE) recommendation to use real data, an example is presented in which simple linear regression is used to evaluate the effect of the Montreal Protocol on atmospheric concentration of chlorofluorocarbons. This simple set of data, obtained from a public archive, can…
Descriptors: International Relations, Regression (Statistics), Statistics, Evaluation Methods
Ling, Robert F. – 1978
The introduction to this selective bibliography on the use of computers in teaching statistics provides a brief review of the role of the computer in statistics; the role of statistical packages; how statistical packages should be used in instruction; science, statistics, and data analysis; and choice and evaluation of statistical packages. Items…
Descriptors: Computer Oriented Programs, Computer Programs, Data Analysis, Evaluation Methods
Wall, Charles R. – InCider, 1987
Discusses some of the myths surrounding grading on the curve. Provides a simple explanation of such statistical terms as histograms, relative frequency, normal distribution, mean, and standard deviation. Describes how to restructure the curve, including the program listing for a computer program that will assist the teacher. (TW)
Descriptors: Computer Oriented Programs, Computer Software, Computer Uses in Education, Data Analysis
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