Personal characteristics,resources, and environment as predictors of business survival

Although new venture success is frequently investigated in entrepreneurship, economics, and psychology, the studies published to date vary widely in their theoretical basis, study design, and research methodology. Based on organizational life‐cycle theory and interactional personality theory, this longitudinal study analyses predictors of venture survival. Of 354 small business owners observed over 8 years, 283 (79.9%) still had active businesses at the end of the observation period. A survey instrument was developed to measure the relevant characteristics of the entrepreneurs, their resources, and the environment. Logistic regression models predicting medium‐ and long‐term business survival included these characteristics and the interactions between them entered stepwise as blocks. Startup decisions (line of business, type, and size of planned business) were used as control variables. Much of the variance is explained by our research model (Nagelkerkes R²=.36 for survival at 4 years, and .33 for survival at 8 years). Although long‐term business survival is predicted by the individual variables of startup size and social capital (networks), a larger part of the variance is explained by environment/resource interactions.     

Tatbilder schizophrener und wahnhafter Täter

Besides the ongoing discussion on whether persons with schizophrenia have a higher prevalence of criminal offences, it is also of special interest for the prognosis in this group of offenders whether there is a causal relationship between the schizophrenic disease and the type of delinquency. For the construction of causal relationships it is important to determine a typology of offences committed by schizophrenic persons. This article deals with the problem by analyzing the offences of 133 patients diagnosed with schizophrenia, schizo-affective and delusional disorders at the Landschaftsverband Westfalen-Lippe (LWL) Center for Forensic Psychiatry in Lippstadt.     

Auditory color constancy: Calibration to reliable spectral properties across nonspeech context and targets

Brief experience with reliable spectral characteristics of a listening context can markedly alter perception of subsequent speech sounds, and parallels have been drawn between auditory compensation for listening context and visual color constancy. In order to better evaluate such an analogy, the generality of acoustic context effects for sounds with spectral-temporal compositions distinct from speech was investigated. Listeners identified nonspeech sounds—extensively edited samples produced by a French horn and a tenor saxophone—following either resynthesized speech or a short passage of music. Preceding contexts were “colored” by spectral envelope difference filters, which were created to emphasize differences between French horn and saxophone spectra. Listeners were more likely to report hearing a saxophone when the stimulus followed a context filtered to emphasize spectral characteristics of the French horn, and vice versa. Despite clear changes in apparent acoustic source, the auditory system calibrated to relatively predictable spectral characteristics of filtered context, differentially affecting perception of subsequent target nonspeech sounds. This calibration to listening context and relative indifference to acoustic sources operates much like visual color constancy, for which reliable properties of the spectrum of illumination are factored out of perception of color.     

Comparison of Eleven Short Versions of the Symptom Checklist 90-Revised (SCL-90-R) for Use in the Assessment of General Psychopathology

Eleven short versions of the Symptom Checklist (SCL-90-R) assessing general psychopathology, containing 5 to 53 items, were compared on the basis of data from a sample of one hundred mothers of 0-to-6-year-old children referred for treatment at a Child Psychiatric Family Day Hospital in Münster, Germany. The SCL short versions were compared with regard to internal consistency, sensitivity and specificity, ability to distinguish between subjects by a new test index (PDTS), and association with indicators of validity (SCL-90-R Global Severity Index, BDI scores). All short versions showed almost equally high internal consistency, sensitivity and specificity, and high correlations with validity indices. The PDTS test index describes a ‘good’ ability of the original SCL-90-R to differentiate between subjects, a ‘moderate’ performance for the BSI, the HSCL-25 and the SCL-27, and a ‘poor’ performance of the very short forms—according to the standards of interpreting PDTS scores. The SCL-10S is recommended for screening purposes because this scale represented the best compromise between economy and accuracy. However, for other research and clinical purposes, the use of one of the longer short versions (BSI, HSCL-25, or SCL-27) is recommended because of their superior discriminative ability.     

A Matlab function to estimate choice model parameters from paired-comparison data.

Tversky (1972) has proposed a family of models for paired-comparison data that generalize the Bradley-Terry-Luce (BTL) model and can, therefore, apply to a diversity of situations in which the BTL model is doomed to fail. In this article, we present a Matlab function that makes it easy to specify any of these general models (EBA, Pretree, or BTL) and to estimate their parameters. The program eliminates the time-consuming task of constructing the likelihood function by hand for every single model. The usage of the program is illustrated by several examples. Features of the algorithm are outlined. The purpose of this article is to facilitate the use of probabilistic choice models in the analysis of data resulting from paired comparisons.     

Predicting uptake of housing services: The role of self-categorization in the theory of planned behaviour

The theory of planned behaviour (TPB) and self-categorization theory (SCT) were used to predict homeless people’s (n = 80) uptake of housing support services. Homeless people’s uptake behaviour was measured one year after a TPB/SCT-based interview schedule was administered. Congruent with previous research, TPB variables were influential predictors of both intention and behaviour. However, the addition of self-categorization variables, such as friendship group norms and identification as a housing support service user, significantly increased the rate prediction for both intention and behaviour, respectively. The implications of the research are firstly, that social cognition models are useful for understanding uptake of housing support services; and secondly, the addition of self-categorization variables aids in exploring the central role that social norms play in understanding the uptake of these services. These findings are discussed in terms of their impact on theory and practice.