This chapter extends Anderson’s (1990) rational analysis of problem solving to a class of exploratory search situations that involve selecting one of a number of possible options, where little is known about the options before exploration begins. We formulate the situation as one of single-move, multi-stage search, where the probabilities of success of the different options are initially unknow...

The concern about teacher quality in many parts of Africa and the role teacher education should play in its improvement is becoming an important subject in education development on the continent. This has partly resulted from increasing evidence that despite gains in basic school enrolment, as a result of developing countries implementing Education For All (EFA) initiatives, gains in student ac...

This paper discusses the use of interactive graphics to teach multivariate data analysis to Psychology students. Three techniques are explored through separate activities: parallel coordinates/boxplots; principal components/exploratory factor analysis; and cluster analysis. With interactive graphics, students may perform important parts of the analysis ―by hand,‖ using techniques such as pointi...

Sparse principal component analysis is a very active research area in the last decade. In the same time, there are very few works on sparse factor analysis. We propose a new contribution to the area by exploring a procedure for sparse factor analysis where the unknown parameters are found simultaneously.

The purpose of this study was to propose a conceptual model for technology transfer (TT) that houses several factors. These factors are believed to influence the processes’ effectiveness and guide the TT performance. In addition, this study aimed to explore TT performance and the relationship between TT government support, infrastructure, TT environment, and TT learning capability. Oil producti...

This paper presents the first stage in the development of a Physics Goal Orientation survey a survey identifying students’ beliefs about how to be successful in physics studies. The analysis method used is exploratory factor analysis, a powerful statistical method requiring subjective decision making. Instead of taking a ‘black box’ approach, which can easily lead researchers to draw incorrect ...

Sparse principal component analysis is a very active research area in the last decade. In the same time, there are very few works on sparse factor analysis. We propose a new contribution to the area by exploring a procedure for sparse factor analysis where the unknown parameters are found simultaneously.

Purpose – The aim of this study is to investigate whether knowledge management (KM) contributes to the development of strategic orientation and to enhance innovativeness, and whether these three factors contribute to improve business performance. Design/methodology/approach – A sample of 241 Brazilian companies was surveyed, using Web-based questionnaires with 54 questions, using ten-point scal...

Sparse principal component analysis is a very active research area in the last decade. In the same time, there are very few works on sparse factor analysis. We propose a new contribution to the area by exploring a procedure for sparse factor analysis where the unknown parameters are found simultaneously.

Abstract The Early Adolescent Temperament Questionnaire (EATQ; Capaldi & Rothbart, 1992) was revised and updated to better assess aspects of temperament related to selfregulation in adolescents. Scales measuring aggression and depressive mood were included to examine relationships between temperament and traits relevant to socialization.177 adolescents, aged 10-16, and 62 parent participants co...