Bayesian Analysis of Mixture Structural Equation Models With an Unknown Number of Components

Multivariate heterogenous data with latent variables are common in many fields such as biological, medical, behavioral, and social-psychological sciences. Mixture structural equation models are multivariate techniques used to examine heterogeneous interrelationships among latent variables. In the analysis of mixture models, determination of the number of mixture components is always an important and challenging issue. This article aims to develop a full Bayesian approach with the use of reversible jump Markov chain Monte Carlo method to analyze mixture structural equation models with an unknown number of components. The proposed procedure can simultaneously and efficiently select the number of mixture components and conduct parameter estimation. Simulation studies show the satisfactory empirical performance of the method. The proposed method is applied to study risk factors of osteoporotic fractures in older people.     

Automated Latent Growth Curve Model Fitting: A Segmentation and Knot Selection Approach

Latent growth curve models are widely used in the social and behavioral sciences to study complex developmental patterns of change over time. The trajectories of these developmental patterns frequently exhibit distinct segments in the studied variables. Latent growth models with piecewise functions for repeated measurements of variables have become increasingly popular for modeling such developmental trajectories. A major problem with using piecewise models is determining the precise location of the point where the change in the process has occurred and uncovering the related number of segments. The purpose of this paper is to introduce an optimization procedure that can be used to determine both the segments and location of the knots in piecewise linear latent growth models. The procedure is illustrated using empirical data in order to detect the number of segments and change points. The results demonstrate the capabilities of the procedure for fitting latent growth curve models.     

Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data

This study examined the effect of model size on the chi-square test statistics obtained from ordinal factor analysis models. The performance of six robust chi-square test statistics were compared across various conditions, including number of observed variables (p), number of factors, sample size, model (mis)specification, number of categories, and threshold distribution. Results showed that the unweighted least squares (ULS) robust chi-square statistics generally outperform the diagonally weighted least squares (DWLS) robust chi-square statistics. The ULSM estimator performed the best overall. However, when fitting ordinal factor analysis models with a large number of observed variables and small sample size, the ULSM-based chi-square tests may yield empirical variances that are noticeably larger than the theoretical values and inflated Type I error rates. On the other hand, when the number of observed variables is very large, the mean- and variance-corrected chi-square test statistics (e.g., based on ULSMV and WLSMV) could produce empirical variances conspicuously smaller than the theoretical values and Type I error rates lower than the nominal level, and demonstrate lower power rates to reject misspecified models. Recommendations for applied researchers and future empirical studies involving large models are provided.     

How schools train principals to use new teacher evaluation systems: A comparative case study of charter school and traditional public school principals

Over the past decade U.S. policymakers, practitioners, and researchers have sought to examine if changing teacher evaluation policies and systems have resulted in changes in identifying quality teachers and/or increased student achievement. This research generally shows most states have experienced little change in how teachers are rated. Researchers are now exploring why, in many cases, teacher evaluation reforms have failed to produce the desired systematic changes of better identifying quality teachers and better distinguishing teacher performance. Embedded within this line of inquiry is how principals (and other evaluators) are trained to use new teacher evaluation systems. This comparative case study observed six principals (three charter school principals and three traditional public school principals) in the U.S. state of Michigan as they learned and enacted a new teacher evaluation system. Additionally, all principals were interviewed three times throughout the school year, in an effort to examine how their initial teacher evaluation training impacted their evaluation of teachers. The research questions that guided this work were: (1) how are principals initially trained when their school adopts a new teacher evaluation system?; (2) in what ways does the training received by charter school principals compare to that of traditional public school principals?; and (3) how does initial training impact how principals evaluate teachers? Results indicate principals are trained to navigate the logistics of new teacher evaluation systems, but are not trained to evaluate teacher performance. Implications for policy and practice are discussed.     

主轴承孔采用加工中心加工的质量和效率研究分析

针对发动机缸体主轴承孔加工精度高,公差规定严的要求,加工中采用缸体底面及底面两定位销孔定位的方式,选择合适的加工方式和刀具在加工中心上进行加工,可有效保证其加工精度。     

Endogenous technical advance and the stochastic trend in output: A neoclassical approach

In the recent endogenous growth literature, the trend in output is stochastic, while investment in scientific knowledge is treated as analogous to a capital stock. This paper models both research and development (R&D) and disembodied technical advance using neo-classical equations, which specify the equilibrium stocks as a function of prices and output. The elasticity of R&D in the production function, estimated using factor shares, is time-varying and increasing. Returns to scale are increasing in all factors. The most important aspect of the model is that the equilibrium rate of technical advance is not cyclically invariant, but co-moves with output at business cycle frequencies. This allows the production function to behave as a stochastic trend. Growth accounting demonstrates that long-term variations in the rate of productivity growth have been associated mainly with low-frequency fluctuations in the rate of disembodied technical advance, with secondary effects from the stocks of R&D and physical capital. During the high productivity period 1948–1972, technical advance contributed 1.48 percentage points per year to output, with 0.98 accounted for by R&D. The productivity slowdown of the mid-1970s was accounted by a gradual decline in the effect of R&D, and a more abrupt collapse in disembodied technology. The subsequent productivity revival was associated with two accelerations in disembodied technical advance, the first beginning in the early 1980s, and the second in the mid-1990s. The production function is simulated in a small econometric model. Model simulations find that exogenous shocks to the inflation rate generate significant variations in growth by inducing fluctuations in disembodied technology.     

Antioxidant and lipid lowering activities of Indian black tea

Indian black tea; CTC leaf and dust, produced by Tata Tea Limited, Kolkata, (India) was studiedin vitro as potential scavenger of oxygen free radicals. Super oxide anions were generated in a system containing xanthine—xanthine oxidase (enzymic system) and by NADH- phenozine methosulphate (non enzymic system). Anions were assayed in terms of uric acid formation and reduction of nitroblue tetrazolium salt, which were shown to be suppressed by tea extracts. Extracts from both leaf and dust also inhibted the formation of hydroxyl radicalsin vitro in the enzymic system comprising hypoxanthine—Cu⁺²—sodium ascorbate and xanthine oxidase and in non enzymic system of deoxyribose—Cu⁺²—sodium ascorbate and H₂O₂ as well as the Cu⁺² induced lipid peroxidation in human low density lipoprotein. Feeding with black tea in normal rats for sixty days increased their antioxidant activity and their liver microsomes were shown to be protected against peroxidation of lipids as stimulated by metal ions with enzymic or non enzymic reactants. Furthermore feeding with tea extracts in normal as well as triton WR—1339 induced hyperlipidemic rats caused decrease in their plasma levels of total cholesterol, phospholipids and triglycerides. The antioxidant and lipid lowering activities of both extracts from CTC leaf and dust tea was comparable and may be due to the presence of natural products like catechin and others.     

新型抗复合盐钻井液的室内评价与应用

钻井过程中经常钻遇盐膏层、盐水层,导致钻井液滤失量突增、粘切升高甚至失去流动性,性能难以控制,而且极易导致井壁垮塌,发生划眼、卡钻等复杂和事故;另外,施工中也常常遇到无淡水源的困难,由于水的矿化度高而导致钻井液性能难以调整。我们通过试验,优选出了一种新型的钻井液用抗复合盐降滤失剂LL—JLS,并对其配伍性、加量及抗污染能力等进行了研究,形成了以LL—JLS为主处理剂的新型抗复合盐钻井液体系,通过现场的应用取得了较好的效果。     

基于案例的PPP模式运作成功的关键影响因素研究

在文献调研及案例分析的基础上,分析中国28个PPP项目的实施过程,寻找影响PPP模式运作成功的关键因素。研究结果表明,PPP模式运作成功的关键是完善的PPP制度环境与体制、健全的金融体系及政府的契约精神,合作企业的能力与信用同有效选择PPP项目等因素共同决定了项目成败。