University of North Carolina at Charlotte

About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.

Justifying Aggregation With Consensus-Based Constructs: A Review and Examination of Cutoff Values for Common Aggregation Indices

Abstract: Management researchers often use consensus-based composition models to examine the antecedents and effects of higher-level constructs. Typically, researchers present three indices, rwg, ICC(1), and...

Detailed Investigation and Comparison of the XCMS and MZmine 2 Chromatogram Construction and Chromatographic Peak Detection Methods for Preprocessing Mass Spectrometry Metabolomics Data.

Abstract: XCMS and MZmine 2 are two widely used software packages for preprocessing untargeted LC/MS metabolomics data. Both construct extracted ion chromatograms (EICs) and detect peaks from the EICs, the first two steps in the data preprocessing workflow. While both packages have performed admirably in peak picking, they also detect a problematic number of false positive EIC peaks and can also fail to detect real EIC peaks. The former and latter translate downstream into spurious and missing compounds and present significant limitations with most existing software packages that preprocess untargeted mass spectrometry metabolomics data. We seek to understand the specific reasons why XCMS and MZmine 2 find the false positive EIC peaks that they do and in what ways they fail to detect real compounds. We investigate differences of EIC construction methods in XCMS and MZmine 2 and find several problems in the XCMS centWave peak detection algorithm which we show are partly responsible for the false positive and false n...

Inclusive Inquiry Science Using Peer-Mediated Embedded Instruction for Students with Moderate Intellectual Disability:

Abstract: There has been limited research on the acquisition of grade-aligned science skills for students with moderate intellectual disability, with even more restriction on academic skills in inclusive settings. This study examined the effects of peer-mediated time-delay instruction to teach inquiry science and use of a knowledge chart to students with moderate intellectual disability in an inclusive setting. Six general education peers implemented an embedded constant time-delay procedure during three science units with 5 students with moderate intellectual disability. All 5 students increased the number of correct science responses across all science units. Three students required additional support by the special education teacher to reach mastery. In addition, all 6 peers were able to implement the intervention with high fidelity, while maintaining science grades at preintervention levels. High levels of social validity were reported.

The Therapeutic Factors Inventory: Development of a scale.

Abstract: Although Yalom’s (1995) framework of the “therapeutic factors” facilitating outcome in group has been accepted by group specialists, no empirically based instrument assesses all of these factors The Therapeutic Factors Inventory (TFI), with 11 scales based on the therapeutic factors, has been designed to fill this gap This article summarizes the development and preliminary reliability testing of the TFI Each scale of the instrument demonstrated high internal consistency; however, one scale obtained unacceptably low test-retest reliability Further validity testing is needed Implications of these findings are discussed