Washington State University

About: Washington State University is a education organization based out in Pullman, Washington, United States. It is known for research contribution in the topics: Population & Gene. The organization has 26947 authors who have published 57736 publications receiving 2341509 citations. The organization is also known as: WSU & Wazzu.

Cheating in Academic Institutions: A Decade of Research

Abstract: This article reviews 1 decade of research on cheating in academic institutions. This research demonstrates that cheating is prevalent and that some forms of cheating have increased dramatically in the last 30 years. This research also suggests that although both individual and contextual factors influence cheating, contextual factors, such as students' perceptions of peers' behavior, are the most powerful influence. In addition, an institution's academic integrity programs and policies, such as honor codes, can have a significant influence on students' behavior. Finally, we offer suggestions for managing cheating from students' and faculty members' perspectives.

Studying infant temperament via the Revised Infant Behavior Questionnaire

Abstract: This study describes a revision of a widely used parent-report measure of infant temperament, the Infant Behavior Questionnaire (IBQ; Rothbart, 1981 ). A rationally derived instrument was developed that included nine new scales and minor modifications of the seven scales of the IBQ. Parents of 360 infants, equally distributed over three age groups: 3–6 months; 6–9 months; and 9–12 months of age, participated. Conceptual and item analyses provided support for 14 of the 16 proposed scales, demonstrating satisfactory internal consistency. Inter-rater reliability was evaluated, with evidence of moderate agreement between primary and secondary caregivers. Monomethod discriminant validity was demonstrated through an examination of correlations among the Infant Behavior Questionnaire—Revised (IBQ-R) scale scores. Results of the factor analytic procedure were consistent with three broad dimensions of Surgency/Extraversion, Negative Affectivity, and Orienting/Regulation. Developmental and gender differences were also noted for a number of the IBQ-R scales. Specifically, older infants received higher scores on Approach, Vocal Reactivity, High Intensity Pleasure, Activity, Perceptual Sensitivity, Distress to Limitations, and Fear, whereas younger infants’ scores were higher for Low Intensity Pleasure, Cuddliness/Affiliation, and Duration of Orienting. Male infants obtained higher scores on Activity and High Intensity Pleasure, and female infants were rated higher on the Fear scale.

Fundamentals of matrix computations

Abstract: Gaussian Elimination and its Variants Sensitivity of Linear Systems Effects of Roundoff Errors Orthogonal Matrices and the Least Squares Problem Eigenvalues, Eigenvectors and Invariant Subspaces Other Methods for the Symmetric Eigenvalue Problem The Singular Value Decomposition Appendices Bibliography

Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing

Abstract: The literature on structural equation models is unclear on whether and when multicollinearity may pose problems in theory testing (Type II errors). Two Monte Carlo simulation experiments show that multicollinearity can cause problems under certain conditions, specifically: (1) when multicollinearity is extreme, Type II error rates are generally unacceptably high (over 80%), (2) when multicollinearity is between 0.6 and 0.8, Type II error rates can be substantial (greater than 50% and frequently above 80%) if composite reliability is weak, explained variance (R2) is low, and sample size is relatively small. However, as reliability improves (0.80 or higher), explained variance R2 reaches 0.75, and sample becomes relatively large, Type II error rates become negligible. (3) When multicollinearity is between 0.4 and 0.5, Type II error rates tend to be quite small, except when reliability is weak, R2 is low, and sample size is small, in which case error rates can still be high (greater than 50%). Methods for detecting and correcting multicollinearity are briefly discussed. However, since multicollinearity is difficult to manage after the fact, researchers should avoid problems by carefully managing the factors known to mitigate multicollinearity problems (particularly measurement error).

Progress in Green Polymer Composites from Lignin for Multifunctional Applications: A Review

Abstract: Rising environmental concerns and depletion of petro-chemical resources has resulted in an increased interest in biorenewable polymer-based environmentally friendly materials. Among biorenewable polymers, lignin is the second most abundant and fascinating natural polymer next to cellulose. Lignin is one of the three major components found in the cell walls of natural lignocellulosic materials. Lignin is widely available as a major byproduct of a number of industries involved in retrieving the polysaccharide components of plants for industrial applications, such as in paper making, ethanol production from biomass, etc. The impressive properties of lignin, such as its high abundance, low weight, environmentally friendliness and its antioxidant, antimicrobial, and biodegradable nature, along with its CO2 neutrality and reinforcing capability, make it an ideal candidate for the development of novel polymer composite materials. Considerable efforts are now being made to effectively utilize waste lignin as one ...