Reducing women’s lack of fit with leadership? Effects of the wording of job advertisements

Linguistic forms which refer to individuals impact mental representations of these individuals: When masculine generics are used, women tend to be cognitively underrepresented, whereas feminine–masculine word pairs are associated with a higher cognitive inclusion of women. The present research investigates whether linguistic forms affect women’s perceived lack of fit with leadership positions, which is particularly pronounced for high-status leadership positions. In a hiring-simulation experiment (N = 363), we tested the effects of different linguistic forms used in German-language job advertisements: (1) masculine forms (e.g., Geschäftsführer, ‘CEO, masc.’); (2) masculine forms with (m/f) (e.g., Geschäftsführer (m/w), ‘CEO, masc. (m/f)’); and (3) word pairs (e.g., Geschäftsführerin/Geschäftsführer, ‘CEO, fem./CEO, masc.’). The job ads announced either a high- or low-status leadership position. Results showed that female applicants were perceived to fit less well with the high-status position than male applicants when either the masculine or the masculine form with (m/f) was used––even though they were perceived to be equally competent. However, female and male applicants were perceived as fitting the high-status leadership position similarly well when word pairs were used.

Quantitative analysis of arachidonic acid, endocannabinoids, N-acylethanolamines and steroids in biological samples by LCMS/MS: Fit to purpose.

Arachidonic acid (5Z,8Z,11Z,14Z-eicosatetraenoic acid; C20:4) (arachidonate, AA) is a vital polyunsaturated omega-6 fatty acid (PUFA) without its presence the mammalian brain, muscles, and possibly other organs cannot develop or function [1] and [2]. AA fulfils numerous known and possibly yet unknown functions as integral part of mammalian phospholipid membranes and as free AA which also acts as a precursor of a variety of biologically active lipid mediators generally referred to as eicosanoids (e.g., prostaglandins, leukotrienes). A more recent class of eicosanoids is composed of the endogenous cannabinoids (endocannabinoids) 2-arachidonoyl glycerol (2-AG) and arachidonoyl ethanolamide (anandamide, AEA), which act on cannabinoid CB1 and CB2 receptors but also modulate ion channels and nuclear receptors [3] and [4]. In recent years, the role of endocannabinoids as prominent anti-inflammatory and neuromodulatory eicosanoids has been shown by numerous studies [5].

MGOF: Stata module to perform goodness-of-fit tests for multinomial data

mgof computes goodness-of-fit tests for the distribution of a discrete (categorical, multinomial) variable. The default is to perform classical large sample chi-squared approximation tests based on Pearson's X2 statistic and the log likelihood ratio (G2) statistic or a statistic from the Cressie-Read family. Alternatively, mgof computes exact tests using Monte Carlo methods or exhaustive enumeration. A Kolmogorov-Smirnov test for discrete data is also provided. The moremata package, also available from SSC, is required.

Multinomial goodness-of-fit: large sample tests with survey design correction and exact tests for small samples

A new Stata command called -mgof- is introduced. The command is used to compute distributional tests for discrete (categorical, multinomial) variables. Apart from classic large sample $\chi^2$-approximation tests based on Pearson's $X^2$, the likelihood ratio, or any other statistic from the power-divergence family (Cressie and Read 1984), large sample tests for complex survey designs and exact tests for small samples are supported. The complex survey correction is based on the approach by Rao and Scott (1981) and parallels the survey design correction used for independence tests in -svy:tabulate-. The exact tests are computed using Monte Carlo methods or exhaustive enumeration. An exact Kolmogorov-Smirnov test for discrete data is also provided.

Value Creation in Family Firms: A Model of Fit

We propose a framework describing how family ownership can create or destroy value depending on the goals, resources, and governance of the family firm, which are each influenced by the family owners. Taking a contingency perspective, we suggest that a fit is required for all three elements – family- influenced goals, resources, and governance – for the family firm to flourish over generations. We conclude with a suggested research agenda indicating research opportunities at the nexus of these identified elements. Further we provide some guiding questions for practitioners that might stimulate fruitful discussions among family firm owners and managers about how to realize ‘‘fit.’’