Review of The Bible at Qumran: Text, Shape, and Interpretation, edited by Peter W. Flint

Review of The Bible at Qumran: Text, Shape, and Interpretation, edited by Peter W. Flint. Studies in the Dead Sea Scrolls and Related Literature. Grand Rapids, MI: Eerdmans, 2001. Pp. xv + 266. Price: $22.00. ISBN 0-8028-4630-0. This volume is another contribution to the Eerdmans series Studies in the Dead Sea Scrolls and Related Literature. The essays are loosely gathered around the topic "The Bible at Qumran," and the editor has divided the articles into two groups. Part 1, "The Scriptures, the Canon, and the Scrolls," includes articles by J.A. Sanders, B.W. Waltke, E. Ulrich, C.A. Evans, and the editor, P.W. Flint. The contributors to Part 2, "Biblical Interpretation and the Dead Sea Scrolls," are J.C. VanderKam, C.A. Evans, J.E. Bowley, J.M. Scott, M.G. Abegg, and R.W. Wall. Unlike other volumes of collected essays in this series, which have highlighted the work of a single author or published the proceedings of a particular conference, this collection has a more disparate origin. Some contributions were given as papers at the Dead Sea Scrolls Institute of Trinity Western University (Bowley, Ulrich, VanderKam and Wall), one (Waltke) is reprinted from The New International Dictionary of Old Testament Theology and Exegesis (Grand Rapids: Zondervan, 1997), and the rest (Abegg, Evans, Flint, Sanders and Scott) were invited for the volume.

Evaluating Measurement Invariance with Censored Ordinal Data: A Monte Carlo Comparison of Alternative Model Estimators and Scales of Measurement

Evaluations of measurement invariance provide essential construct validity evidence. However, the quality of such evidence is partly dependent upon the validity of the resulting statistical conclusions. The presence of Type I or Type II errors can render measurement invariance conclusions meaningless. The purpose of this study was to determine the effects of categorization and censoring on the behavior of the chi-square/likelihood ratio test statistic and two alternative fit indices (CFI and RMSEA) under the context of evaluating measurement invariance. Monte Carlo simulation was used to examine Type I error and power rates for the (a) overall test statistic/fit indices, and (b) change in test statistic/fit indices. Data were generated according to a multiple-group single-factor CFA model across 40 conditions that varied by sample size, strength of item factor loadings, and categorization thresholds. Seven different combinations of model estimators (ML, Yuan-Bentler scaled ML, and WLSMV) and specified measurement scales (continuous, censored, and categorical) were used to analyze each of the simulation conditions. As hypothesized, non-normality increased Type I error rates for the continuous scale of measurement and did not affect error rates for the categorical scale of measurement. Maximum likelihood estimation combined with a categorical scale of measurement resulted in more correct statistical conclusions than the other analysis combinations. For the continuous and censored scales of measurement, the Yuan-Bentler scaled ML resulted in more correct conclusions than normal-theory ML. The censored measurement scale did not offer any advantages over the continuous measurement scale. Comparing across fit statistics and indices, the chi-square-based test statistics were preferred over the alternative fit indices, and ΔRMSEA was preferred over ΔCFI. Results from this study should be used to inform the modeling decisions of applied researchers. However, no single analysis combination can be recommended for all situations. Therefore, it is essential that researchers consider the context and purpose of their analyses.

Risk Factors Associated With the Prevalence of Tuberculosis-Like Lesions in Fenced Wild Boar and Red Deer in South Central Spain

In recent decades the management of large game mammals has become increasingly intensive in south central Spain (SCS), resulting in complex epidemiological scenarios for disease maintenance, and has probably impeded schemes to eradicate tuberculosis (TB) in domestic livestock. We conducted an analysis of risk factors which investigated associations between the pattern of tuberculosis-like lesions (TBL) in wild boar (Sus scrofa) and red deer (Cervus elaphus) across 19 hunting estates from SCS and an extensive set of variables related to game management, land use and habitat structure. The aggregation of wild boar at artificial watering sites was significantly associated with an increasing risk of detecting TBL in both species, which probably relates to enhanced opportunities for transmission. Aggregation of wild boar at feeding sites was also associated with increased risks of TBL in red deer. Hardwood Quercus spp. forest availability was marginally associated with an increased risk of TB in both species, whereas scrubland cover was associated with a reduced individual risk of TBL in the wild boar. It is concluded that management practices that encourage the aggregation of hosts, and some characteristics of Mediterranean habitats could increase the frequency and probability of both direct and indirect transmission of TB. These findings are of concern for both veterinary and public health authorities, and reveal tuberculosis itself as a potential limiting factor for the development and sustainability of such intensive game management systems in Spanish Mediterranean habitats.