The Method of Purging Applied to Repeated Cross-Sectional Data

In cross-sectional survey research, it is quite common to estimate the(standardized) effect of independent variable(s) on a dependent variable. However, if repeated cross-sectional data are available, much is to be gained if the consequences of these effects on longitudinal social change are considered.To assess these consequences, we describe a type of simulation in whichlongitudinal shifts in the independent variable's distribution, and longitudinal variation in effect on the dependent variable are `purged' from the data. Although the method of purging is known for many years, we add new practical features by relating the method to logistic and linear regression analysis. Because both logistic and linear regression analysis can be found in all majorstatistical packages, the method of purging is made available to a wider group of social scientists. With the use of repeated cross-sectional data, gathered in the Netherlands between 1970 and 1998, the new practical features of the purging method are shown, using the SPSS package.     

Comparing levels of anti-Muslim attitudes across Western countries

In this study we describe differences of the ethnic majorities?? attitudes toward Muslims across Western countries. Using data from the Pew Global Attitudes Survey (2005), we were able to increase and test cross-cultural comparability of anti-Muslim attitudes. We constructed a single factor CFA model with three indicators, which was tested for scalar equivalence. Our results indicate that anti-Muslim attitudes differ significantly across the countries in our analysis. Germany and the Netherlands turned out to display relatively high levels of anti-Muslim attitudes, whereas these levels were relatively low in Great-Britain and the USA. We conclude our study with giving some post-hoc explanations for the differences found across countries.     

Personalien

Personalien

Personalien     

The standardized effect of a compound of dummy variables or polynomial terms

A method is proposed to obtain standardized regression coefficients for composite variables made up of dummy variables or polynomial terms. The method to be described enables the researcher to compare the effect of the composite variable with the effects of other predictor variables. Forming a composite variable is particularly useful in polynomial regression where individual regression coefficients are hard to interpret. A second application is assessing the impact of a compound of dummy variables. An empirical example dealing with the curvilinear relationship between church involvement and prejudice is used to illustrate the approach.     

An Ontological Turn in Categories Research: From Standards of Legitimacy to Evidence of Actuality

In this Counterpoint to Durand and Paolella, we argue that prior work on categories has neglected processes of category emergence and dissolution. In response, we call for studies of categories that focus on how they emerge and fall out of use and on what they come to mean. We call this an ontological turn in categories research because systems of categorization and their associated meanings capture and reflect what societies view as social realities, or ontologies. As a guide to this broad topic, we develop a framework that relates the effects of categories to the familiarity of (1) occasions and motivations for their usage and (2) meanings and ontologies they carry, and we use this framework to elaborate two paths by which previously unfamiliar categories become accepted as elements of common knowledge. These paths jointly inform the recognition front of the emergence question, an understudied problem in organization studies. Finally, we outline two methodologies – set theoretic analysis and network‐based analysis – that offer particular promise for analysing processes of category emergence and dissolution.     

LONG‐RUN VERSUS SHORT‐RUN PERSPECTIVES ON CONSUMER SCHEDULING: EVIDENCE FROM A REVEALED‐PREFERENCE EXPERIMENT AMONG PEAK‐HOUR ROAD COMMUTERS

Earlier studies on scheduling behavior have mostly ignored that consumers have more flexibility to adjust their schedule in the long run than in the short run. We introduce the distinction between long‐run choices of travel routines and short‐run choices of departure times, using data from a real‐life peak avoidance experiment. We find that participants value travel time higher in the long‐run context, supposedly because changes in travel time can be exploited better through the adjustment of routines. Schedule delays are valued higher in the short run, reflecting that scheduling restrictions are typically more binding in the short run.     

Structural aspects of social capital: tests for cross-national equivalence in Europe

In this contribution we start from the emerging consensus on the widely disputed phenomenon of social capital. We propose to focus on structural aspects of social capital: formal (contacts within formal organizations) and informal (contacts outside of formal organizations). First, we address methodological questions on the cross-national equivalence of these social capital measurements. Second, we re-visit substantive questions on the patterns of relationships in different European countries. In particular, we inquire to which degree formal and informal social capital can substitute each other, as well as being complementary. We take advantage of recent Eurobaromer data (2004) containing a wide range of valid measurements on both structural aspects of social capital. We find strong evidence for cross-national equivalent measurements regarding formal social capital, employing probabilistic scalogram analyses. For informal social capital, we find strong evidence for configural and metric invariance as well as evidence for partial scalar invariance, employing multi group confirmatory factor analyses. We have to reject the substantive hypothesis on substitution of formal and informal social capital for all countries under consideration, except for Romania. We corroborate the hypothesis on complementarity of formal and informal social capital.     

Theo van de Klundert: A frontier economist

Summary Twenty-five years ago, Dr. Theo van de Klundert was appointed as Professor of Economics at Tillburg University. On the occassion of this jubilee the authors review Van de Klundert's contribution to the study of economic science in the The Netherlands. The article focuses on four topics: (1) growth and income distribution, (2) capital theory, resource economics and trade, (3) controversies between Keynesians and (4) open economy macroeconomics. A short remark is made about his teaching. Van de Klundert is praised for the quality and the comprehension of his scientific work.The authors are grateful to S.K. Kuipers and M. Peeters for their useful comments on an earlier draft of this paper.