Conditioning of appetitive and consummatory sexual behavior in male Japanese quail.

Two different types of stimulus objects, a live female quail artificially adorned with bright orange feathers and an inanimate toy dog, served as conditioned stimuli. For subjects in experimental groups, the conditioned stimuli were presented shortly before access to a sexually receptive normal female quail. For subjects in control groups, exposure to the conditioned stimuli was unpaired with copulatory opportunity. Subjects in the experimental but not in the control groups quickly came to approach the location of the conditioned stimulus objects. When an adorned female quail served as the conditioned stimulus, the conditioned approach behavior was controlled by a combination of the presence of the orange adornments and the visual cues of the head and neck of the female bird, and the approach behavior persisted as the adorned female moved to new locations. When the toy dog served as the conditioned stimulus, the conditioned approach behavior was limited to the spatial cues that surrounded the toy dog during conditioning trials. Although both types of stimulus objects evoked conditioned approach behavior, only the adorned female stimulus supported copulatory behavior. This last finding indicates that copulatory behavior can become redirected toward novel stimuli as a result of conditioning, but only under special circumstances. The results are consistent with the suggestion that appetitive components of reproductive behavior are more susceptible to conditioning than consummatory components. Possible reasons for this are discussed, together with implications of the results for the contribution of conditioning processes to sexual selection.     

Canonical analysis of two convex polyhedral cones and applications

Canonical analysis of two convex polyhedral cones consists in looking for two vectors (one in each cone) whose square cosine is a maximum. This paper presents new results about the properties of the optimal solution to this problem, and also discusses in detail the convergence of an alternating least squares algorithm. The set of scalings of an ordinal variable is a convex polyhedral cone, which thus plays an important role in optimal scaling methods for the analysis of ordinal data. Monotone analysis of variance, and correspondence analysis subject to an ordinal constraint on one of the factors are both canonical analyses of a convex polyhedral cone and a subspace. Optimal multiple regression of a dependent ordinal variable on a set of independent ordinal variables is a canonical analysis of two convex polyhedral cones as long as the signs of the regression coefficients are given. We discuss these three situations and illustrate them by examples.     

ON "HUXLEYS EVOLUTION AND ETHICS IN SOCIOBIOLOGICAL PERSPECTIVE" BY GEORGE C. WILLIAMS

Abstract. I concur with Williams that improving human ethics requires full consideration of the biogenetic facts; but I argue that the understanding of biogenetic facts, and of ethics also, can be improved by a fuller view of nature's mechanism for selecting what is fit, a view recently generated by physical scientists. For me ethics necessarily must fit the evolved genotype, but ethics does not emerge until the rise of cultural evolution, where nature selects a culturetype symbiotic with the genotype. I outline my integrated dynamics of the relation of culturetypes to genotypes and to the laws governing physical systems. The biologist's finding that a living organism is of transient significance compared with its lines of heritage and their consequences, I argue, is constructively important for ethical and theological understanding.     

Constructing the exact significance level for a person fit statistic

This paper uses an extension of the network algorithm originally introduced by Mehta and Patel to construct exact tail probabilities for testing the general hypothesis that item responses are distributed according to the Rasch model. By assuming that item difficulties are known, the algorithm is applicable to the statistical tests either given the maximum likelihood ability estimate or conditioned on the total score. A simulation study indicates that the network algorithm is an efficient tool for computing the significance level of a person fit statistic based on test lengths of 30 items or less.     

Theory change in immunology part II: The clonal selection theory

This two-part article examines the competition between the clonal selection theory and the instructive theory of the immune response from 1957–1967. In Part I the concept of a temporally extended theory is introduced, which requires attention to the hitherto largely ignored issue of theory individuation. Factors which influence the acceptability of such an extended theory at different temporal points are also embedded in a Bayesian framework, which is shown to provide a rational account of belief change in science. In Part II these factors, as elaborated in the Bayesian framework, are applied to the case of the success of the clonal selection theory and the failure of the instructive theory.     

Self-selection biases in correlational studies based on questionnaires

It is commonly held that even where questionnaire response is poor, correlational studies are affected only by loss of degrees of freedom or precision. We show that this supposition is not true. If the decision to respond is correlated with a substantive variable of interest, then regression or analysis of variance methods based upon the questionnaire results may be adversely affected by self-selection bias. Moreover such bias may arise even where response is 100%. The problem in both cases arises where selection information is passed to the score indirectly via the disturbance or individual effects, rather than entirely via the observable explanatory variables. We suggest tests for the ensuing self-selection bias and possible ways of handling the ensuing problems of inference.The author would like to thank members of the Psychology Department at UWA for references on the illustrative example, namely the effects of sex-stereotyping on achievements in mathematics; thanks are also due to the anonymous reviewers whose comments resulted in material improvements to the paper.     

Estimation for structural equation models with missing data

A direct method in handling incomplete data in general covariance structural models is investigated. Asymptotic statistical properties of the generalized least squares method are developed. It is shown that this approach has very close relationships with the maximum likelihood approach. Iterative procedures for obtaining the generalized least squares estimates, the maximum likelihood estimates, as well as their standard error estimates are derived. Computer programs for the confirmatory factor analysis model are implemented. A longitudinal type data set is used as an example to illustrate the results.This research was supported in part by Research Grant DAD1070 from the U.S. Public Health Service. The author is indebted to anonymous reviewers for some very valuable suggestions. Computer funding is provided by the Computer Services Centre, The Chinese University of Hong Kong.     

It's just (family) business: The impact of familial work experience on perceived qualification and hireability during the selection process

Though scholars have explored the impact of familial work experience (FWE) posthire, research has yet to determine the role of such experience during the selection process. Drawing from Attribution Theory and research on nepotism and family business dynamics, we suggest that the presence of FWE on an applicant's selection materials will lead to reduced perceptions of qualifications and hireability. Through two online experiments (N₁ = 170, N₂ = 251), we found mixed support for this proposition. In our first study focused on cover letters, we found that applicants who reported FWE were not appraised differently than those who did not. In our second study focused on letters of recommendation, however, we found that applicants who reported FWE were perceived as less qualified and less hireable. Moreover, we found that the level of job (i.e., service vs. managerial) moderates these relations, such that managerial applicants with FWE on their letter of recommendation were perceived as less hireable than those who did not. Implications for research and practice are discussed, and future research directions are offered.     

Getting interested in interests for employee selection: Key concerns and areas for future research

The paper by Wille and De Fruyt suggests that vocational interests should be used throughout the human resources cycle and provides a useful model that can facilitate the application of interests throughout this process. This commentary builds on their review to discuss the unique benefits and challenges of implementing vocational interests in the employee selection process. Using research from the employee selection literature, we also discuss potential solutions for many of the issues raised by Wille and De Fruyt. Therefore, our commentary is meant to supplement the focal article and answer specific questions about why and how vocational interests can be used in this high-stakes setting.     

Hiring on vocational interests to simultaneously improve validity and organizational diversity

We discuss how using vocational interests in the selection process can help address the diversity-validity dilemma. First, we point out how incorporating vocational interests as predictors in selection could help to reduce adverse impact. We further suggest that by using optimal predictor weights, one could simultaneously improve validity while enhancing organisational diversity. Finally, the predictive validity of vocational interests arises from their ability to capture the congruence between individuals and occupations, which is a cross-level phenomenon. Thus, when gathering validity evidence for vocational interests, multi-occupation samples should be incorporated into validation efforts.