The binary-choice regression models such as probit and logit are used to describe the effect of explanatory variables on a binary response variable. Typically estimated by the maximum likelihood method, estimates are very sensitive to deviations from a model, such as heteroscedasticity and data...

The term qualitative management research embraces an array of non-statistical research practices. Here it is argued that this diversity is an outcome of competing philosophical assumptions which produce distinctive research perspectives and legitimate the appropriation of different sets of...

In this paper we deal with several issues related to the quantification of business surveys. In particular, we propose and compare new ways of scoring the ordinal responses concerning the qualitative assessment of the state of the economy, such as the spectral envelope and cumulative logit...

In this paper we propose an alternative approach to the estimation of ordered response models. We show that the Probit-method may be replaced by a simple OLS-approach, called P(robit)OLS, without any loss of efficiency. This method can be generalized to the analysis of panel data. For...

In a qualitative leadership study conducted in the German-speaking part of Switzerland the quest to be oneself i.e., to be authentic was found to be central for leadership. We will present the results in detail and highlight the difficulties leaders experience when trying to be authentic in...