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Direct linkThur, Scott M. – ProQuest LLC, 2015
The purpose of this study was to measure decision-making influences within RtI teams. The study examined the factors that influence school personnel involved in three areas of RtI: determining which RtI measures and tools teams select and implement (i.e. Measures and Tools), evaluating the data-driven decisions that are made based on the…
Descriptors: Decision Making, Response to Intervention, Teamwork, Data
Islam, Muhammad Faysal – ProQuest LLC, 2013
Cloud computing offers the advantage of on-demand, reliable and cost efficient computing solutions without the capital investment and management resources to build and maintain in-house data centers and network infrastructures. Scalability of cloud solutions enable consumers to upgrade or downsize their services as needed. In a cloud environment,…
Descriptors: Risk Assessment, Statistical Analysis, Reliability, Computer Networks
Bellara, Aarti P. – ProQuest LLC, 2013
Propensity score analysis has been used to minimize the selection bias in observational studies to identify causal relationships. A propensity score is an estimate of an individual's probability of being placed in a treatment group given a set of covariates. Propensity score analysis aims to use the estimate to create balanced groups, akin to a…
Descriptors: Scores, Probability, Monte Carlo Methods, Statistical Analysis
Itang'ata, Mukaria J. J. – ProQuest LLC, 2013
Often researchers face situations where comparative studies between two or more programs are necessary to make causal inferences for informed policy decision-making. Experimental designs employing randomization provide the strongest evidence for causal inferences. However, many pragmatic and ethical challenges may preclude the use of randomized…
Descriptors: Comparative Analysis, Probability, Statistical Bias, Monte Carlo Methods
Gao, Song – ProQuest LLC, 2011
This study explored the relationship between successful guessing and latent ability in IRT models. A new IRT model was developed with a guessing function integrating probability of guessing an item correctly with the examinee's ability and the item parameters. The conventional 3PL IRT model was compared with the new 2PL-Guessing model on…
Descriptors: Correlation, Guessing (Tests), Item Response Theory, Models
Lingle, Jeremy A. – ProQuest LLC, 2009
When researchers are unable to randomly assign students to treatment conditions, selection bias is introduced into the estimates of treatment effects. Random assignment to treatment conditions, which has historically been the scientific benchmark for causal inference, is often impossible or unethical to implement in educational systems. For…
Descriptors: Probability, Statistical Bias, Statistical Analysis, Educational Research
