This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution. The effect of violating assumptions of asymptotic robustness theory also was examined. Standardized root-mean-square residual (SRMR) was the most sensitiv...

Information retrieval systems based on conceptual indexing can access the underlying meaning of text, graphics or videotaped documents. Since conceptual indices represent the semantics of a piece of information, it is difficult to extract them automatically from a document, and it is tedious to build them manually. We present a method to acquire and refine conceptual indices in the context of D...

In high dimension space, many conventional clustering algorithms do not work well in effectiveness and efficiency, especially for image data set. For example, k-means is widely used in image clustering especially visual clustering. But its drawback such as long clustering time and high memory cost seriously deteriorates feasibility in incremental large image set. To improve the feasibility, we ...

This study investigated the factorial validity of the 33-item self-rated Emotional Intelligence Scale (EIS: Schutte et al., 1998) for use with athletes. In stage 1, content validity of the EIS was assessed by a panel of experts (n = 9). Items were evaluated in terms of whether they assessed EI related to oneself and EI focused on others. Content validity further examined items in terms of aware...

This paper examines the systemic risk and its spillover between banking sectors of Gulf Cooperation Council (GCC) region using conditional value-at-risk framework. We construct country-specific indices 11 large banks in that are systemically important (SIB). report evidence spilloversfrom SIBs to broad-based GCC market indices. The incremental tail spillovers statistically significant for other...

1. Structural equations modeling: Fit Indices, sample size, and advanced topics (130) Dawn Iacobucci This article is the second of two parts intended to serve as a primer for structural equations models for the behavioral researcher. The first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model. In this second article, ad...

We study sliding window multi-join processing in continuous queries over data streams. Several algorithms are reported for performing continuous, incremental joins, under the assumption that all the sliding windows fit in main memory. The algorithms include multiway incremental nested loop joins (NLJs) and multi-way incremental hash joins. We also propose join ordering heuristics to minimize th...