Australian baby boomers retiring ‘early’: Understanding the benefits of retirement preparation for involuntary and voluntary retirees

The first of the baby boomers have reached retirement age, but some have retired ‘early’ with varying degrees of personal choice. Preparation for retirement can lead to well-being in later life, but few studies have considered the preparations of involuntary retirees or the pathways that link their preparations with retirement outcomes. This research draws on a sample of 304 retirees from the Ageing Baby Boomers in Australia Study (2009) to examine how preparedness for retirement relates to voluntary and involuntary retirees' life satisfaction and how this relationship is explained by psychological, activity-based, and economic theories. Preparedness predicted life satisfaction for voluntary and involuntary retirees and each of theoretical pathways was supported. Although those retiring involuntarily were less prepared than voluntary retirees, their preparatory behaviours were still associated with life satisfaction. These results suggest that retirement policy and planning initiatives should aim to facilitate a holistic approach to retirement planning for future retirees, particularly those facing an early and unexpected retirement.     

Some solutions to the multivariate Behrens–Fisher problem for dissimilarity‐based analyses

The essence of the generalised multivariate Behrens–Fisher problem (BFP) is how to test the null hypothesis of equality of mean vectors for two or more populations when their dispersion matrices differ. Solutions to the BFP usually assume variables are multivariate normal and do not handle high‐dimensional data. In ecology, species' count data are often high‐dimensional, non‐normal and heterogeneous. Also, interest lies in analysing compositional dissimilarities among whole communities in non‐Euclidean (semi‐metric or non‐metric) multivariate space. Hence, dissimilarity‐based tests by permutation (e.g., PERMANOVA, ANOSIM) are used to detect differences among groups of multivariate samples. Such tests are not robust, however, to heterogeneity of dispersions in the space of the chosen dissimilarity measure, most conspicuously for unbalanced designs. Here, we propose a modification to the PERMANOVA test statistic, coupled with either permutation or bootstrap resampling methods, as a solution to the BFP for dissimilarity‐based tests. Empirical simulations demonstrate that the type I error remains close to nominal significance levels under classical scenarios known to cause problems for the un‐modified test. Furthermore, the permutation approach is found to be more powerful than the (more conservative) bootstrap for detecting changes in community structure for real ecological datasets. The utility of the approach is shown through analysis of 809 species of benthic soft‐sediment invertebrates from 101 sites in five areas spanning 1960 km along the Norwegian continental shelf, based on the Jaccard dissimilarity measure.     

The Effects of Expectation Disconfirmation on Appraisal,Affect, and Behavioral Intentions

People's risk perceptions can have powerful effects on their outcomes, yet little is known about how people respond to risk information that disconfirms a prior expectation. We experimentally examined the affective, cognitive, and behavioral consequences of expectation disconfirmation in the context of risk perceptions. Participants were randomly assigned and then prompted toward either a high or low personal risk estimate regarding a fictitious health threat. All participants then received the same risk feedback, which presented either a negative disconfirmation experience (i.e., worse than expected) in the high‐risk estimate condition or a positive disconfirmation experience (i.e., better than expected) in the low‐risk estimate condition. Participants who experienced the negative disconfirmation reported stronger intentions to prevent the threat in the future compared to participants who experienced the positive disconfirmation. This effect was mediated by both disappointment about the risk feedback and perceptions of the severity of the threat. These findings have implications for risk communication, suggesting that the provision of objective risk information may improve or diminish the likelihood of behavior change depending on people's initial expectations and their emotional and cognitive reactions to the information.     

Moment Inequalities and Their Application

This paper provides conditions under which the inequality constraints generated by either single agent optimizing behavior or the best response condition of multiple agent problems can be used as a basis for estimation and inference. An application illustrates how the use of these inequality constraints can simplify the analysis of complex behavioral models.     

A Confirmatory Factor Analysis of Home Environment and Home Social Behavior Data from the Elementary School Success Profile for Families

The purpose of the current study was to test the factor structure and scale quality of data provided by caregivers about the home environment and child behavior at home using the Elementary School Success Profile (ESSP) for Families. The ESSP for Families is one component of the ESSP, an online social-environmental assessment that also collects information from students and teachers. Confirmatory factor analyses with Mplus and weighted least squares means and variances adjusted estimation took into account the hierarchical nature and ordinal level of the data. The sample comprised caregivers of 692 third- through fifth-grade students from 13 elementary schools in four districts. A primary model and an alternative model were tested. Models were tested on a random calibration sample and validated with another sample. A nine-factor first-order solution demonstrated superior fit to the data. Scores from the nine scales also demonstrated acceptable internal consistency reliability. Implications for practice and further research are presented.     

Quality of abstracts in the context of a systematic review on parenting of children with chronic health conditions and disabilities

In this study the authors address the quality of abstracts reviewed during a systematic review. Their objective was to describe the proportion of abstracts that could not be coded and to explore factors associated with that outcome. Using an exploratory design, a database of titles uploaded for analysis was examined for clarity, type and year of publication, and abstract format. Of the 1851 references examined, 481 (26%) were coded as unclear. The inter-rater reliability Kappa score was 0.777. These abstracts were more likely to have been published prior to 2002 and did not use a structured format. Abstracts are an important tool in the systematic review process. Structured abstracts can reduce the time and costs associated with conducting a systematic review.