A Limited Information Estimator for Dynamic Factor Models

Structural equation modeling (SEM) is an increasingly popular method for examining multivariate time series data. As in cross-sectional data analysis, structural misspecification of time series models is inevitable, and further complicated by the fact that errors occur in both the time series and measurement components of the model. In this article, we introduce a new limited information estimator and local fit diagnostic for dynamic factor models within the SEM framework. We demonstrate the implementation of this estimator and examine its performance under both correct and incorrect model specifications via a small simulation study. The estimates from this estimator are compared to those from the most common system-wide estimators and are found to be more robust to the structural misspecifications considered.     

A Self-report Family Data Form for family therapy

Family therapies which aim to begin treatment in the first session leave the practitioner at a disadvantage regarding the collection of demographic, historical, and genealogical data that may be useful as treatment proceeds. Not wanting to disrupt interactional reciprocity and flow, the therapist cannot perform methodical anamnesis. The Self-report Family Data Form is presented for collecting useful biographical data from families in treatment without interfering with the clinical interaction.     

A General Family of Preferential Belief Removal Operators

Most belief change operators in the AGM tradition assume an underlying plausibility ordering over the possible worlds which is transitive and complete. A unifying structure for these operators, based on supplementing the plausibility ordering with a second, guiding, relation over the worlds was presented in Booth et al. (Artif Intell 174:1339–1368, 2010). However it is not always reasonable to assume completeness of the underlying ordering. In this paper we generalise the structure of Booth et al. (Artif Intell 174:1339–1368, 2010) to allow incomparabilities between worlds. We axiomatise the resulting class of belief removal functions, and show that it includes an important family of removal functions based on finite prioritised belief bases.     

A Goodness-of-Fit Approach to Informed Consent for Pediatric Intervention Research

As children and adolescents receive increased research attention, ethical issues related to obtaining informed consent for pediatric intervention research have come into greater focus. In this article, we conceptualize parent permission and child assent within a goodness-of-fit framework that encourages investigators to create consent procedures “fitted” to the research context, the child's cognitive and emotional maturity, and the family system. Drawing on relevant literature and a hypothetical case example, we highlight four factors investigators may consider when constructing consent procedures that best reflect participants' rights, concerns, and well-being: (a) the child's current assent capacity and the likely impact of study information on the child's mental and physical development, (b) parents' understanding of their child's treatment needs and distinctions between treatment and clinical trials research, (c) the family's history of shared decision making, and (d) the child's strivings for autonomy within the context of their parents' duty to make decisions in the child's best interest.     

结构式家庭治疗在精神分裂症患者中应用的研究概况

精神分裂症属于重性精神病,在世界人口中的患病率约为1％,其特点是病程迁延,治疗进展缓慢,且复发率以及病残率均相对较高.它是一类病因尚未完全明了的精神障碍,社会心理因素(尤其是家庭关系)在其发病、转归和预后方面具有重要作用.针对精神分裂症家庭特点的研究,推动了家庭治疗的发展,也增加了帮助患者全面康复的治疗手段.结构式家庭治疗假设家庭中被标定的个体的问题与家庭的动力和结构有着密切的联系,改变家庭的动力及其组织过程,可改变个人及家庭,可以应用于精神分裂症患者家庭中,并且具有良好的治疗效果.     

NOVA SKED: A behavioral notation language for Data General minicomputers

A state notation language (NOVA SKED) for the experimental control and collection of data from operant behavior experiments by Data General NOVA series minicomputers is described. NOVA SKED is based on the SKED system written for the Digital Equipment Corporation PDP8 series of minicomputers. The NOVA SKED state notation syntax enables diagramming experimental procedures directly and precisely by the operant experimenter, who need not be familiar with computers. This syntax can then be compiled by the computer into programs that operate under the SKED run-time system (RTS). The SKED RTS operates in a timesharing mode that allows up to 16 experimental stations to function simultaneously and independently from each other. NOVA SKED is a “stand-alone” system that collects and stores data on digital magnetic tape.     

A Note on Item Analysis of Family Relations Test Data

Two statistical problems prevent meaningful item analysis of Family Relations Test (FRT) data: (a) multiple assignment invalidates the assumption of independence and (b) low frequencies prevent computation of probabilities. It is suggested that: (a) multiple assignment be disallowed and (b) items be made more representative of family interactions.     

Learning General Phonological Rules From Distributional Information: A Computational Model

Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony (Peperkamp, Le Calvez, Nadal, & Dupoux, 2006). This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, we apply the original model to new data in Dutch and demonstrate its limitations in learning nonallophonic rules. In Experiment 2, we extend the model to allow it to learn general rules for alternations that apply to a class of segments. In Experiment 3, the model is further extended to allow for generalization by context; we argue that this generalization must be constrained by linguistic principles.     

Cancer Genetics Service Interest in Women with a Limited Family History of Breast Cancer

Women with a limited family history of breast cancer may be interested in cancer genetics information although their objective risk of breast cancer may not indicate routine referral to cancer genetics services. This study examined factors related to interest and use of cancer genetics services in a community sample of women with a limited family history of breast cancer (N = 187) who had no previous contact with cancer genetics services. Participants provided demographic information and ratings of perceived risk, cancer distress, attitudes, and intentions to initiate cancer genetics services. Participants were given information about a cancer genetics clinic that served women having concerns about their breast cancer risk. Women were contacted within 6 weeks and 8 months following their study appointment. Six weeks following their study appointment, 25% of women had initiated cancer genetics services. Eight months following their study appointment, 18% of women reported having completed a cancer genetics service appointment. Baseline intentions independently predicted both initiation at 6 weeks and appointment at 8 months. Cancer distress was positively associated with cancer genetics service initiation and appointment. Results suggest that some women with a limited family history of breast cancer are interested in seeking out cancer genetics information. Women with a limited family history of breast cancer may benefit from the availability of cancer genetics information provided through primary healthcare settings.     

A Prospective Comparison Study of Different Methods of Gathering Self-Reported Family History Information for Breast Cancer Risk Assessment

Currently there is much debate regarding the ability of mathematical models incorporating epidemiological information or mutation-based risk algorithms to accurately predict a woman's risk of developing breast cancer. Without access to accurate family history information these models have limited use. This study compares different methods of gathering family history information and the impact on subsequent risk assessment. These methods were compared to the gold standard interview with a trained genetics' professional. The amount and accuracy of information provided by primary care doctors' letters was found to be poor and better information was obtained by sending a postal questionnaire directly to the patient. Because of the high number of low-risk women referred to clinic a questionnaire (the FCAT) was designed to provide reassurance and piloted as part of this study. This paper highlights the importance of using appropriate methods to gather the family history information. It presents evidence for the importance of a skilled assessor and the need to allow time for women to discuss the importance of this information with their family.     

Abstract: Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data

Traditional structural equation modeling (SEM) techniques have trouble dealing with incomplete and/or nonnormal data that are often encountered in practice. Yuan and Zhang (2011a) developed a two-stage procedure for SEM to handle nonnormal missing data and proposed four test statistics for overall model evaluation. Although these statistics have been shown to work well with complete data, their performance for incomplete data has not been investigated in the context of robust statistics.

Focusing on a linear growth curve model, a systematic simulation study is conducted to evaluate the accuracy of the parameter estimates and the performance of five test statistics including the naive statistic derived from normal distribution based maximum likelihood (ML), the Satorra-Bentler scaled chi-square statistic (RML), the mean- and variance-adjusted chi-square statistic (AML), Yuan-Bentler residual-based test statistic (CRADF), and Yuan-Bentler residual-based F statistic (RF). Data are generated and analyzed in R using the package rsem (Yuan & Zhang, 2011b).

Based on the simulation study, we can observe the following: (a) The traditional normal distribution-based method cannot yield accurate parameter estimates for nonnormal data, whereas the robust method obtains much more accurate model parameter estimates for nonnormal data and performs almost as well as the normal distribution based method for normal distributed data. (b) With the increase of sample size, or the decrease of missing rate or the number of outliers, the parameter estimates are less biased and the empirical distributions of test statistics are closer to their nominal distributions. (c) The ML test statistic does not work well for nonnormal or missing data. (d) For nonnormal complete data, CRADF and RF work relatively better than RML and AML. (e) For missing completely at random (MCAR) missing data, in almost all the cases, RML and AML work better than CRADF and RF. (f) For nonnormal missing at random (MAR) missing data, CRADF and RF work better than AML. (g) The performance of the robust method does not seem to be influenced by the symmetry of outliers.     

A Developmental Model for Family Systems

This paper reviews the historical context of concepts of development and some of the problems of applying them to family systems. A model of family systems development is presented that emphasizes changes in family shape through the individual life cycle. Some clinical uses of the model are described.     

A Mencian Version of Limited Democracy

The compatibility between Western democracy and other cultures, and the desirability of democracy, are two important problems in democratic theory. Following an insight from John Rawls’s later philosophy, and using some key passages in Mencius, I will show the compatibility between a ‘thin’ version of liberal democracy and Confucianism. Moreover, elaborating on Mencius’s ideas of the responsibility of government for the physical and moral well-being of the people, the respectability of the government and the ruling elite, and the competence-based limited political participation, I shall explore the Mencian criticisms of some ‘thick’ democratic ideas. Through the discussion in this paper, I hope to show the relevance of Confucianism to contemporary political philosophy and society.

The Family Environment Scale: Reliability and Normative Data for an Adolescent Sample

The Family Environment Scale has been used extensively in family research since first being published. However, despite its appeal both conceptually and empirically, doubts have been raised over the scale's reliability. This article presents normative and reliability data for the Family Environment Scale from a large, combined sample of adolescents. Means and standard deviations were generally found to be in line with those reported in the scale's manual; however, estimates of internal consistency for most subscales could be considered inadequate for research purposes.