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Ryoo, Ji Hoon; Tai, Robert H. – AERA Online Paper Repository, 2017
Due to the complexity of latent transition analysis (LTA) model structure and qualitative decision making in LTA, power analysis has less been reported and studied. Baldwin (2015) and Gudicha, et al., (2016) recently reported results about power analysis in LTA, which included useful information. On the other hand, both studies are limited in the…
Descriptors: Statistical Analysis, Group Membership, Longitudinal Studies, Models
Doroudi, Shayan; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2017
The gold standard for identifying more effective pedagogical approaches is to perform an experiment. Unfortunately, frequently a hypothesized alternate way of teaching does not yield an improved effect. Given the expense and logistics of each experiment, and the enormous space of potential ways to improve teaching, it would be highly preferable if…
Descriptors: Teaching Methods, Matrices, Evaluation Methods, Models
González-Brenes, José P.; Huang, Yun – International Educational Data Mining Society, 2015
Classification evaluation metrics are often used to evaluate adaptive tutoring systems-- programs that teach and adapt to humans. Unfortunately, it is not clear how intuitive these metrics are for practitioners with little machine learning background. Moreover, our experiments suggest that existing convention for evaluating tutoring systems may…
Descriptors: Intelligent Tutoring Systems, Evaluation Methods, Program Evaluation, Student Behavior
Wang, Lin; Qian, Jiahe; Lee, Yi-Hsuan – ETS Research Report Series, 2013
The purpose of this study was to evaluate the combined effects of reduced equating sample size and shortened anchor test length on item response theory (IRT)-based linking and equating results. Data from two independent operational forms of a large-scale testing program were used to establish the baseline results for evaluating the results from…
Descriptors: Test Construction, Item Response Theory, Testing Programs, Simulation
Pardos, Zachary A.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…
Descriptors: Data Analysis, Bayesian Statistics, Statistical Analysis, Problem Sets

Corter, James E. – Multivariate Behavioral Research, 1998
Describes a new combinatorial algorithm for fitting additive trees to proximity data. This generalized triples method examines all triples of objects of interest in relation to the remaining set of objects to be clustered. The procedure is illustrated, and a simulation study shows its advantages. (SLD)
Descriptors: Algorithms, Simulation, Statistical Analysis
Williams, Valerie S. L. – 1995
Multiple comparison procedures for controlling familywise Type I error and the false discovery rate are described and compared, including the traditional Bonferroni correction, a sequential (step-up) Bonferroni procedure (Hochberg, 1988), and a sequential false discovery rate procedure proposed by Benjamini and Hochberg (1995). Motivation for…
Descriptors: Comparative Analysis, Hypothesis Testing, Simulation, Statistical Analysis
Chang, Shun-Wen; Hanson, Bradley A.; Harris, Deborah J. – 2000
This study presents and evaluates a method of standardization that may be used by test practitioners to standardize classical item statistics when sample sizes are small. The effectiveness of this standardization approach was compared through simulation with the one-parameter logistic (1PL) and three parameter logistic (3PL) models based on the…
Descriptors: Item Response Theory, Sample Size, Simulation, Statistical Analysis
Headrick, Todd C.; Beasley, T. Mark – 2002
Real world data often fail to meet the underlying assumptions of normal statistical theory. Many statistical procedures in the psychological and educational sciences involve models that may include a system of statistical equations with non-normal correlated variables (e.g., factor analysis, structural equation modeling, or other complex…
Descriptors: Correlation, Equations (Mathematics), Monte Carlo Methods, Simulation
DeMars, Christine E. – 2002
Using simulated data, the MULTILOG and PARSCALE software packages were compared for their recovery of item and trait parameters under the graded response and generalized partial credit item response theory models. The shape of the latent population distribution (normal, skewed, or uniform) and the sample size (250 or 500) were varied. Parameter…
Descriptors: Computer Software, Item Response Theory, Simulation, Statistical Analysis
Zhang, Jinming – ETS Research Report Series, 2004
It is common to assume during statistical analysis of a multiscale assessment that the assessment has simple structure or that it is composed of several unidimensional subtests. Under this assumption, both the unidimensional and multidimensional approaches can be used to estimate item parameters. This paper theoretically demonstrates that these…
Descriptors: Comparative Analysis, Item Response Theory, Computation, Statistical Analysis
Supattathum, Suchada; And Others – 1994
Multiple-hypothesis testing in the context of a correlation matrix is used to compare the statistical power of the original Bonferroni with six modified Bonferroni procedures that control the overall Type I error rate. Three definitions of statistical power are considered: (1) the ability to detect at least one true relationship; (2) the ability…
Descriptors: Correlation, Hypothesis Testing, Matrices, Power (Statistics)
Zaremba, Joseph – 1973
A set of APL (A Programing Language) programs written for use on a time-sharing IBM System/370 computer and used to aid in the teaching of selected econometric concepts is described. The programs involve the simulation of a set of n observations; of a simple regression model Y = A BX U; the plotting of the Y and X simulated values; the estimation…
Descriptors: Computer Assisted Instruction, Computer Programs, Economic Research, Online Systems
Mecklin, Christopher J. – 2002
Whether one should use null hypothesis testing, confidence intervals, and/or effect sizes is a source of continuing controversy in educational research. An alternative to testing for statistical significance, known as equivalence testing, is little used in educational research. Equivalence testing is useful in situations where the researcher…
Descriptors: Educational Research, Effect Size, Hypothesis Testing, Sample Size
McLean, James E. – 1983
This simple method for simulating the Central Limit Theorem with students in a beginning nonmajor statistics class requires students to use dice to simulate drawing samples from a discrete uniform distribution. On a chalkboard, the distribution of sample means is superimposed on a graph of the discrete uniform distribution to provide visual…
Descriptors: Higher Education, Hypothesis Testing, Research Methodology, Sampling