Generation speed in Raven''s progressive matrices test

In this paper, we investigate the role of response fluency on a well-known intelligence test, Raven's Advanced Progressive Matrices (APM) test. Finding rules that govern the items is critical in solving this test. Finding these rules is conceptualized as sampling rules from a (statistical) rule distribution until the correct one is attained. Response fluency is then seen as generation speed, or the speed at which a person generates (samples) rules from this distribution. We develop a test that isolates this speed of sampling variable, and a method to check whether this variable was adequately isolated. The score on this test is then compared with performance on the APM test. It is found that the speed at which people sample from such distributions is an important variable in solving APM items.     

Effects of social and intellectual instruction on achievement motivation as a function of role orientation

University women preselected for traditionality of role orientation were administered a task described as a test either of intelligence or social skills. Results generally supported the hypothesis that instructions interact with a women's role orientation in determining both her achievement motivation, as measured projectively, and her performance. Differences in motivation and performance were interpreted in terms of women's definitions of appropriate achievement situations. Nontraditional women displayed achievement motivation on a projective measure under standard intellectual arousal conditions. Traditionally role-oriented women displayed greater achievement motivation under affiliative arousal conditions. The importance of measuring achievement in traditionally feminine areas, in addition to more traditionally masculine intellectual achievement, was stressed.Portions of this research were included in a thesis submitted by the first author in partial fulfillment of the requirements for the M.A. degree at the University of Illinois at Chicago Circle.     

On the sampling interpretation of confidence intervals and hypothesis tests in the context of conditional maximum likelihood estimation

In the context ofconditional maximum likelihood (CML) estimation, confidence intervals can be interpreted in three different ways, depending on the sampling distribution under which these confidence intervals contain the true parameter value with a certain probability. These sampling distributions are (a) the distribution of the data given theincidental parameters, (b) the marginal distribution of the data (i.e., with the incidental parameters integrated out), and (c) the conditional distribution of the data given the sufficient statistics for the incidental parameters. Results on the asymptotic distribution of CML estimates under sampling scheme (c) can be used to construct asymptotic confidence intervals using only the CML estimates. This is not possible for the results on the asymptotic distribution under sampling schemes (a) and (b). However, it is shown that theconditional asymptotic confidence intervals are also valid under the other two sampling schemes. I am indebted to Theo Eggen, Norman Verhelst and one of Psychometrika's reviewers for their helpful comments.     

Additive and multiplicative models for gamma distributed random variables,and their application as psychometric models for response times

A class of models for gamma distributed random variables is presented. These models are shown to be more flexible than the classical linear models with respect to the structure that can be imposed on the expected value. In particular, both additive, multiplicative, and combined additive-multiplicative models can be formulated. As a special case, a class of psychometric models for reaction times is presented, together with their psychological interpretation. By means of a comparison with existing models, this class of models is shown to offer some possibilities that are not available in existing methods. Parameter estimation by means of maximum likelihood (ML) is shown to have some attractive properties, since the models belong to the exponential family. Then, the results of a simulation study of the bias in the ML estimates are presented. Finally, the application of these models is illustrated by an analysis of the data from a mental rotation experiment. This analysis is preceded by an evaluation of the appropriateness of the gamma distribution for these data.     

The adolescent suicide problem

ABSTRACT: The suicide rate of young people in the United States rose 237 percent between 1960 and 1980. This paper addresses three related issues. First, is this change an epidemic or an artifact? Second, what is there about adolescence as a life-stage in modern society that makes it stressful, even suicide producing? Finally, what are the distinctive traits of the lifestyles or careers of a random sample of young Chicago suicides?     

Integrating mindfulness as self-care into counselling and psychotherapy training

Aim: Within the last 10 years, mindfulness has quickly moved into the mainstream of behavioural medicine, psychotherapy, and counselling. This article examines the potential of applying mindfulness practices to the training of counsellors and psychotherapists. Method: Several qualitative research projects conducted over the past nine years are summarised. Findings: Mindfulness training can enhance the physical and psychological wellbeing of trainees. Implications for training: Mindfulness training is a specific way that training programmes can teach students strategies of self-care that can help prevent burnout, compassion fatigue, and vicarious traumatisation.     

Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences

This article analyzes latent variable models from a cognitive psychology perspective. We start by discussing work by Tuerlinckx and De Boeck (2005), who proved that a diffusion model for 2-choice response processes entails a 2-parameter logistic item response theory (IRT) model for individual differences in the response data. Following this line of reasoning, we discuss the appropriateness of IRT for measuring abilities and bipolar traits, such as pro versus contra attitudes. Surprisingly, if a diffusion model underlies the response processes, IRT models are appropriate for bipolar traits but not for ability tests. A reconsideration of the concept of ability that is appropriate for such situations leads to a new item response model for accuracy and speed based on the idea that ability has a natural zero point. The model implies fundamentally new ways to think about guessing, response speed, and person fit in IRT. We discuss the relation between this model and existing models as well as implications for psychology and psychometrics.