Proportion of general factor variance in a hierarchical multiple‐component measuring instrument: A note on a confidence interval estimation procedure

A confidence interval construction procedure for the proportion of explained variance by a hierarchical, general factor in a multi‐component measuring instrument is outlined. The method provides point and interval estimates for the proportion of total scale score variance that is accounted for by the general factor, which could be viewed as common to all components. The approach may also be used for testing composite (one‐tailed) or simple hypotheses about this proportion, and is illustrated with a pair of examples.     

A multi‐level perspective on the synergies between work and family

In this paper we lay the conceptual foundation for work‐family facilitation. Work‐family facilitation is a process representing the synergies between the domains of work and family. We formally define facilitation as the extent to which an individual's engagement in one social system, such as work or family, contributes to growth in another social system. We develop the process through which facilitation occurs, provide a model and case studies of this process, and delineate additional theoretical and empirical research necessary to understand work‐family facilitation so that it can be managed and cultivated within organizations.     

Bootstrap confidence intervals in multi‐level simultaneous component analysis

Multi‐level simultaneous component analysis (MLSCA) was designed for the exploratory analysis of hierarchically ordered data. MLSCA specifies a component model for each level in the data, where appropriate constraints express possible similarities between groups of objects at a certain level, yielding four MLSCA variants. The present paper discusses different bootstrap strategies for estimating confidence intervals (CIs) on the individual parameters. In selecting a proper strategy, the main issues to address are the resampling scheme and the non‐uniqueness of the parameters. The resampling scheme depends on which level(s) in the hierarchy are considered random, and which fixed. The degree of non‐uniqueness depends on the MLSCA variant, and, in two variants, the extent to which the user exploits the transformational freedom. A comparative simulation study examines the quality of bootstrap CIs of different MLSCA parameters. Generally, the quality of bootstrap CIs appears to be good, provided the sample sizes are sufficient at each level that is considered to be random. The latter implies that if more than a single level is considered random, the total number of observations necessary to obtain reliable inferential information increases dramatically. An empirical example illustrates the use of bootstrap CIs in MLSCA.     

A note on statistical power in multi‐site randomized trials with multiple treatments at each site

We derive the statistical power functions in multi‐site randomized trials with multiple treatments at each site, using multi‐level modelling. An F statistic is used to test multiple parameters in the multi‐level model instead of the Wald chi square test as suggested in the current literature. The F statistic is shown to be more conservative than the Wald statistic in testing any overall treatment effect among the multiple study conditions. In addition, we improvise an easy way to estimate the non‐centrality parameters for the means comparison t‐tests and the F test, using Helmert contrast coding in the multi‐level model. The variance of treatment means, which is difficult to fathom but necessary for power analysis, is decomposed into intuitive simple effect sizes in the contrast tests. The method is exemplified by a multi‐site evaluation study of the behavioural interventions for cannabis dependence.     

Memory for targets in a multi‐level simulated‐environment: A comparison between able‐bodied and physically disabled children

Two groups of children, one able‐bodied and the other with physical disabilities, explored a symmetrical three‐tiered virtual building that contained six distinctive target objects, two on each storey. In a subsequent test, the target objects were removed and participants were asked to make judgments of the directions to the former target locations from each floor in turn. At each test site, judgments were required for targets that were formerly on the same floor and for those on higher and lower floors. Relative tilt error scores suggested a bias for both groups, in that targets that were higher than the test location were judged as consistently lower than their actual position, whereas targets that were lower than the test location were judged as higher than their actual position. Absolute tilt errors revealed an asymmetry in both groups, with more accurate tilt errors for judgments directed to lower than higher floors. The relevance of these results for the source of the asymmetry is discussed.     

Examining time‐invariance in reliability in multi‐wave,multi‐indicator models: A covariance structure analysis approach accounting for indicator specificity

A covariance structure analysis method for testing time‐invariance in reliability in multiwave, multiple‐indicator models in outlined. The approach accounts for observed variable specificity and permits, in addition, estimation of reliability in terms of ‘pure’ measurement error variance. The proposed procedure is developed within a confirmatory factor analysis framework and illustrated with data from a cognitive intervention study.     

A multi‐level mediation model of the relationships between team autonomy,individual task design and psychological well‐being

The past decade and a half witnessed a global trend towards the use of participatory team‐based interventions. In the present contribution, we address the widespread idea that the resulting increase in team autonomy fosters employee psychological well‐being. Specifically, we address the common but mostly implicit rationale for this widespread idea that the well‐being effect occurs because the increase in team autonomy is reflected in individual task design. We collected survey data from 733 members of 76 healthcare teams. The results of multi‐level mediation analyses were supportive of our theoretical framework. The higher the team autonomy, the more active learning behaviour and the less emotional exhaustion team members reported. These relationships were mediated by the individual job characteristics of autonomy, variety and demands. These results draw attention to individual task design in a team context.     

The effects of service climate and the effective leadership behaviour of supervisors on frontline employee service quality: A multi‐level analysis

A supervisor's behaviour may not be the only factor that determines the performance of team members ( Kerr & Jermier, 1978 ). Taking this postulation as a basis, we formulated a model to describe how service climate moderates the effects of the leadership behaviour of supervisors. When the organization and working environment are not conducive to providing a good service to colleagues and customers, the supervisor's leadership behaviour makes an important difference. However, when the service climate is good, a supervisor's leadership behaviour makes no substantial difference. This hypothesis was supported in an examination of the service quality of 511 frontline service providers as sampled from 55 work groups in 6 service organizations. The employee service quality was low when both the service climate and the supervisor's leadership behaviour were lacking. However, when the service climate was unfavourable, effective leadership behaviour played a compensatory role in maintaining performance standards towards external customers. When the leadership was ineffective, a favourable service climate nullified the negative effect on service quality to internal customers.     

A note on the estimation of the level of predictive precision of a fitted linear equation

A procedure that utilizes the sample multiple correlation to form a lower bound for the level of predictive precision of a fitted regression equation is suggested. The procedure is shown to yield probability statements which are true at least 100(1–)% of the time.     

The team‐level model of climate for innovation: A two‐level confirmatory factor analysis

The level structure of West's (1990) four‐factor model of team climate for innovation was assessed by means of multi‐level confirmatory factor analysis (MCFA). The sample consisted of 1,487 individuals (195 teams) from a wide range of professions. Results showed that a considerable portion of the variance in the data was explained on the team level with intra‐class correlations ranging from .30 to .39. Furthermore, the results demonstrated that the overall measurement model fitted the data well at both the team and individual levels, while the factor loadings were slightly different across the levels with item loadings showing partial invariance. Results from confirmatory factor analyses conducted on separate levels, however, showed that the four‐factor model displayed the best fit to the data for both individual and team levels. A second‐order one‐factor model also fitted the data well on both levels. The results indicate that the team climate for innovation model can be used as a team‐level consensus model of team climate for innovation.     

A note on the estimation of nonspurious correlations

A method is provided for estimating the nonspurious correlation of a part of a test with the total test. Two cases are considered: one in which the actual subtest is parallel to the total test, the other in which the actual subtest is not parallel to the total test.     

A note on ALSCAL: The estimation of the additive constant

A method is given for the least squares regression of a squared variabled ² on the squared variable 0², where the relation between 0 andd is linear. The problem arises in MDS-algorithms where the loss function is defined in terms of squared distances (e.g., ALSCAL). It is pointed out that the Lagrangian multiplier is a root of fourth degree polynomial.     

Dynamic size‐change of peri‐hand space through tool‐use: Spatial extension or shift of the multi‐sensory area

Several studies in humans and non‐human primates have shown that tool‐use can expand near peripersonal space ( Farnè & Làdavas, 2000 ; Iriki, Tanaka, & Iwamura, 1996 ). In humans, the extension of the near peripersonal space is revealed by an increase in the severity of cross‐modal extinction caused by visual stimulation at the distal edge of a rake after its use as a reaching tool. The crucial question addressed here concerns whether the dynamic re‐sizing of the peri‐hand space in humans constitutes a real spatial expansion of visual‐tactile peri‐hand area along the tool axis. Alternatively, it could constitute a shift of the integrative area from the hand towards the distal edge of the tool, or the formation of a novel visual‐tactile integrative area at the same distal location ( Holmes, Calvert, & Spence, 2004 ). We contrasted the alternative predictions made by these hypotheses in a group of RBD patients by probing, at different locations along the tool axis, the changes induced by tool‐use on cross‐modal extinction. By assessing the visual‐tactile extinction near the hand, midway along the tool, and at the distal edge of the tool we found an increase in visual‐tactile extinction after tool‐use both at the middle and the distal location along the tool axis. In contrast, no change intervened at the hand proximity. These findings support the view that the tool‐use dependent re‐mapping of peri‐hand space in humans consists of a continuous elongation of visual‐tactile peri‐hand area from the hand towards the tip of the tool.     

Predictors of young dating adults' inclination to engage in extradyadic sexual activities: A multi‐perspective study

Using a multi‐perspective vignette design, we explored predictors of young peoples' (N=119) propensity to engage in unfaithful activities while dating. Demographic measures, a datding investment model, and measures of functional and dysfunctional impulsivity were used to predict inclination to engage in each of two extradyadic activities (kissing and sexual activity). The results of moderated multiple regression analyses revealed that a respondent's number of sexual partners, level of dysfunctional impulsivity, satisfaction with current relationship, and quality of relationship alternatives significantly predicted inclination to engage in both of the extradyadic activities. Consistent with previous findings, gender only showed significant predictive value in relation to extradyadic sex inclination. Moreover, the association between sex, love, and marriage interacted with gender in the prediction of both extradyadic activities and interacted with commitment in the prediction of extradyadic sex inclination. Suggestions for future research in this area are offered in light of these new findings.     

How to study the ‘quality of psychoanalytic treatments’ and their long‐term effects on patients' well‐being: A representative,multi‐perspective follow‐up study3

How can we study the ‘quality of psychoanalytic treatments’? The authors attempt to answer this question by discussing a naturalistic, multi‐perspective and representative follow‐up study of psychoanalyses and long‐term psychoanalytic psychotherapies. We studied a representative sample (n = 401) of all the patients who had terminated their psychoanalytic treatments with members of the German Psychoanalytical Association (DPV) between 1990 and 1993. Between 70 and 80 per cent of the patients achieved (average 6.5 years after the end of treatment) good and stable psychic changes according to the evaluations of the patients themselves, their analysts, independent psychoanalytic and non‐psychoanalytic experts, and questionnaires commonly applied in psychotherapy research. The evaluation of mental health costs showed a cost reduction through fewer days of sick leave during the seven years following the end of long‐term psychoanalytic treatments. The results achieved using non‐psychoanalytical instruments are complemented by the richness of the idiosyncratic findings, gained by the psychoanalytic research instruments.