The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory (cf. McKeen et al. 1994, Weill and Olson 1989). In our survey of such studies, the majority failed to either detect or provide an estimate of the effect size. In cases where effect sizes are estimated, the numbers are generally small. These results have led some researchers to question both the usefulness of contingency theory and the need to detect interaction effects (e.g., Weill and Olson 1989). This paper addresses this issue by providing a new latent variable modeling approach that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships. The capacity of this approach at recovering true effects in comparison to summated regression is demonstrated in a Monte Carlo study that creates a simulated data set in which the underlying true effects are known. Analysis of a second, empirical data set is included to demonstrate the technique's use within IS theory. In this second analysis, substantial direct and interaction effects of enjoyment on electronic-mail adoption are shown to exist.

/pdf/a-partial-least-squares-latent-variable-modeling-approach-20dk7tba26.pdf

A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

The authors develop a framework for understanding the behaviors and practices of service providers that build or deplete consumer trust and the mechanisms that convert consumer trust into value and loyalty in relational exchanges. The proposed framework (1) uses a multidimensional conceptualization for the trustworthiness construct; (2) incorporates two distinct facets of consumer trust, namely, frontline employees and management policies and practices; and (3) specifies value as a key mediator of the trust–loyalty relationship. The authors test the proposed model using data from two service contexts—retail clothing (N = 264) and nonbusiness airline travel (N = 113). The results support a tripartite view of trustworthiness evaluations along operational competence, operational benevolence, and problem-solving orientation dimensions. Moreover, the authors find evidence of contingent asymmetric relationships between trustworthiness dimensions and consumer trust. For frontline employees, benevolent b...

Consumer Trust, Value, and Loyalty in Relational Exchanges:

Researchers have suggested that general self-efficacy (GSE) can substantially contribute to organizational theory, research, and practice. Unfortunately, the limited construct validity work conduct...

/pdf/validation-of-a-new-general-self-efficacy-scale-1dir3mk9j8.pdf

Validation of a New General Self-Efficacy Scale:

Although genome-wide association studies (GWASs) have identified numerous loci associated with complex traits, imprecise modeling of the genetic relatedness within study samples may cause substantial inflation of test statistics and possibly spurious associations. Variance component approaches, such as efficient mixed-model association (EMMA), can correct for a wide range of sample structures by explicitly accounting for pairwise relatedness between individuals, using high-density markers to model the phenotype distribution; but such approaches are computationally impractical. We report here a variance component approach implemented in publicly available software, EMMA eXpedited (EMMAX), that reduces the computational time for analyzing large GWAS data sets from years to hours. We apply this method to two human GWAS data sets, performing association analysis for ten quantitative traits from the Northern Finland Birth Cohort and seven common diseases from the Wellcome Trust Case Control Consortium. We find that EMMAX outperforms both principal component analysis and genomic control in correcting for sample structure.

/pdf/variance-component-model-to-account-for-sample-structure-in-19yuqk3ki9.pdf

Variance component model to account for sample structure in genome-wide association studies

(Knowledge Extraction based onEvolutionary Learning) tool, an open source software that supports datamanagement and a designer of experiments. KEEL pays special attentionto the implementation of evolutionary learning and soft computing basedtechniques for Data Mining problems including regression, classiﬁcation,clustering, pattern mining and so on.The aim of this paper is to present three new aspects of KEEL: KEEL-dataset, a data set repository which includes the data set partitions in theKEELformatandshowssomeresultsofalgorithmsinthesedatasets; someguidelines for including new algorithms in KEEL, helping the researcherstomaketheirmethodseasilyaccessibletootherauthorsandtocomparetheresults of many approaches already included within the KEEL software;and a module of statistical procedures developed in order to provide to theresearcher a suitable tool to contrast the results obtained in any experimen-talstudy.Acaseofstudyisgiventoillustrateacompletecaseofapplicationwithin this experimental analysis framework.

/pdf/keel-data-mining-software-tool-data-set-repository-1jctj7itm5.pdf

KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

An Introduction to Sequential Monte Carlo Methods

Mathematical and Statistical Methods for Genetic Analysis

The Handbook of Parametric and Nonparametric Statistical Procedures

If you ally obsession such a referred the laplace distribution and generalizations a revisit with applications to communications economics engineering and finance progress in mathematics s books that will have the funds for you worth, acquire the completely best seller from us currently from several preferred authors. If you desire to witty books, lots of novels, tale, jokes, and more fictions collections are also launched, from best seller to one of the most current released.

Freda Kemp

Papers

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

An Introduction to Sequential Monte Carlo Methods

Mathematical and Statistical Methods for Genetic Analysis

The Handbook of Parametric and Nonparametric Statistical Procedures

The Laplace Distribution and Generalizations: a Revisit with Applications to Communications, Economics, Engineering, and Finance