Factor structure of the Mini-Maternal Behavior Q-Sort and associations with infant attachment: Informing precision in research and intervention

We examined the factor structure of parental sensitivity to infants as assessed by the Mini-Maternal Behavior Q-Sort (Mini-MBQS), a 25-item short-form of the original 90-item MBQS. We aimed to: (1) identify latent factors of the Mini-MBQS; and (2) validate each factor by testing associations with infant attachment classifications. Data on parent-infant dyads (n = 313; 222 mothers with 281 children, 29 fathers with 32 children) were drawn from a three-generation Australian cohort study. Exploratory Factor Analysis and Exploratory Structural Equation Modelling examined the structure of the Mini-MBQS. Two latent Mini-MBQS factors were identified, requiring 8 of 25 original items: (1) Attention and Responsiveness and (2) Contingency in Interactions. Infants with insecure attachment classifications had parents with lower sensitivity across both factors relative to infants classified secure. In particular, infants with resistant attachment classifications had parents with notably low Contingency in Interactions scores. Infants with disorganised attachment classifications had parents with the lowest relative sensitivity across both factors, and in these dyads Attention and Responsiveness scores were especially low. Results provide an empirically derived factor structure for the Mini-MBQS. Two subscales, each with significant infant attachment associations, may improve precision in clinical intervention and research translation.     

Examining area- and individual-level differences in suicide ideation severity and suicide attempt among youth

Youth suicide is a pressing problem and suicide rates are not equally distributed across geographic areas or socioeconomic status (SES). Death by suicide is often preceded factors including hopelessness and suicide ideation, planning, and attempt. The current study examined area- and individual-level differences in suicide ideation severity and suicide attempt in a state-representative sample of youth from 2019 (N = 78,740) and 2021 (N = 61,396). Youth from higher SES and rural areas showed lower suicide ideation severity and odds of suicide attempt. After including individual-level covariates, SES differences in ideation severity and suicide attempt persisted for 2019 but not 2021. Rural differences for ideation severity persisted across years but not for suicide attempt. Further research on geographic variation in suicide risk is needed.     

Theme-Based Book Review: Considering Work on Ethics in Immigration Policy,Corruption, and Executive/Administrative Practice

Public Organization Review - This theme-based book review highlights three recent texts, on immigration policy in the United States and European Union; corruption and exclusion; and applied ethics...     

Crown width models for woody plant species growing in urban areas of the U.S.

Urban Ecosystems - Crown widths of woody plant species growing in urban areas are of considerable importance as an overall indicator of health and also serve as an important factor for assessing...     

A new confidence region for the multinomial distribution

A simple confidence region is proposed for the multinomial parameter. It is designed for situations having zero cell counts. Simulation studies as well as a real data application show that it performs at least as well as than at least two of the most common confidence regions.     

Discrete random vectors generated by Taylor expansions

We demonstrate how univariate discrete and multivariate discrete distributions can be generated using Taylor expansions. Some of the results involve use of Bell polynomials.     

Promoting and Archiving Student Work through an Institutional Repository: Trinity University,LASR, and the Digital Commons

Abstract

The authors discuss the development of a related set of institutional repositories among several liberal arts college libraries. Contrary to the usual focus on faculty publications, the primary goal of these repositories is the promotion of student work, especially undergraduate theses. Discussion of issues concerning selection of materials and archival policies is included along with practical considerations of workflows and reflections on the advantages and disadvantages of the particular software platform (Digital Commons). Marketing the repository and the subsequent addition of other materials, including e-journals, are discussed in light of ambiguity about its purposes among campus faculty and students.     

Properties of doubly-truncated gamma variables

The truncated gamma distribution has been widely studied, primarily in life-testing and reliability settings. Most work has assumed an upper bound on the support of the random variable, i.e. the space of the distribution is (0,u). We consider a doubly-truncated gamma random variable restricted by both a lower (l) and upper (u) truncation point, both of which are considered known. We provide simple forms for the density, cumulative distribution function (CDF), moment generating function, cumulant generating function, characteristic function, and moments. We extend the results to describe the density, CDF, and moments of a doubly-truncated noncentral chi-square variable.     

Modeling multiple‐response categorical data from complex surveys

Although “choose all that apply” questions are common in modern surveys, methods for analyzing associations among responses to such questions have only recently been developed. These methods are generally valid only for simple random sampling, but these types of questions often appear in surveys conducted under more complex sampling plans. The purpose of this article is to provide statistical analysis methods that can be applied to “choose all that apply” questions in complex survey sampling situations. Loglinear models are developed to incorporate the multiple responses inherent in these types of questions. Statistics to compare models and to measure association are proposed and their asymptotic distributions are derived. Monte Carlo simulations show that tests based on adjusted Pearson statistics generally hold their correct size when comparing models. These simulations also show that confidence intervals for odds ratios estimated from loglinear models have good coverage properties, while being shorter than those constructed using empirical estimates. Furthermore, the methods are shown to be applicable to more general problems of modeling associations between elements of two or more binary vectors. The proposed analysis methods are applied to data from the National Health and Nutrition Examination Survey. The Canadian Journal of Statistics © 2009 Statistical Society of Canada