University of Houston

About: University of Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23074 authors who have published 53903 publications receiving 1641968 citations.

Response to Intervention: Preventing and Remediating Academic Difficulties

Abstract: We address the advantages and challenges of service delivery models based on student response to intervention (RTI) for preventing and remediating academic difficulties and as data sources for identification for special education services The primary goal of RTI models is improved academic and behavioral outcomes for all students We review evidence for the processes underlying RTI, including screening and progress monitoring assessments, evidence-based interventions, and schoolwide coordination of multitiered instruction We also discuss the secondary goal of RTI, which is to provide data for identification of learning disabilities (LDs) Incorporating instructional response into identification represents a controversial shift away from discrepancies in cognitive skills that have traditionally been a primary basis for LD identification RTI processes potentially integrate general and special education and suggest new directions for research and public policy related to LDs, but the scaling issues in schools are significant and more research is needed on the use of RTI data for identification

The Psychiatric Nurse as a Behavioral Engineer

Abstract: The behavior which leads to a person’s admission to a mental hospital often involves danger to himself or others, withdrawal from normal social functions, or a dramatic change from his usual mode of behaving. The professional staff of the psychiatric hospital directs its major efforts toward the discovery of the flaw in the patient’s mental apparatus which presumably underlies his disturbing and dangerous behavior. Following the medical paradigm, it is presumed that once the basic disfunction has been properly identified the appropriate treatment will be undertaken and the various manifestations of the disfunction will disappear.

An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA

Abstract: To date, multi-group comparison of Partial Least Square (PLS) models where differences in path estimates for different sampled populations have been relatively naive. Often, researchers simply examine and discuss the difference in magnitude of specific model path estimates from two or more data sets. When evaluating the significance of path differences, a t-test based on the pooled standard errors obtained via a resampling procedure such as bootstrapping from each data set is made. Yet problems can occur if the assumption of normal population or similar sample size is made. This paper provides an introduction to an alternative distribution free approach based on an approximate randomization test – where a subset of all possible data permutations between sample groups is made. The performance of this permutation procedure is tested on both simulated data and a study exploring the differences of factors that impact outsourcing between the countries of US and Germany. Furthermore, as an initial examination of the consistency of this new procedure, the outsourcing results are compared with those obtained from using covariance based SEM (AMOS 7).