This research investigates aggregate change in gender attitudes from the mid-1990s to the mid2000s for an unbalanced panel of 75 countries representing over 70 percent of the world’s people. The use of modern techniques of factor analysis suggests that gender belief systems exhibit a high degree of uniformity across countries and have been converging around a decidedly postmodern ideological st...

Weber’s Protestant Ethic hypothesis holds that elements of theology gave Protestants a cultural affinity with the economic demands of early market capitalism, particularly compared with their Catholic neighbors, which led to more rapid economic development in nations where Protestant culture was dominant. Previous research has found inconsistent support for a Protestant inclination toward pro-m...

Civic engagement in the United States has increased since the election of President Trump. This increase is evident online as people are using Twitter to assert their digital citizenship by voicing their opinions regarding President Donald J. Trump and demonstrating solidarity with various civic movements. President Trump’s election has caused many people to recognize how policies impact their ...

Most management problems involve multilevel phenomena, yet most management research uses a single level of analysis. A micro or a macro lens alone yields incomplete understanding at either level. Multilevel research addresses the levels of theory, measurement, and analysis required to fully examine research questions. This forum presents multilevel research on bribery, national identity, team b...

A two-level regression mixture model is discussed and contrasted with the conventional two-level regression model. Simulated and real data shed light on the modelling alternatives. The real data analyses investigate gender differences in mathematics achievement from the US National Education Longitudinal Survey.The two-level regression mixture analyses show that unobserved heterogeneity should ...

AIMS This work examined the role of cultural values in understanding people's satisfaction with health services across Europe. METHODS We used multilevel linear regression analysis on the seventh round of the European Social Survey from 2014, including c. 40,000 respondents from 21 countries. Preliminary intraclass correlation analyses led us to believe that some explanations of variance in t...

BACKGROUND Individuals with autism spectrum disorder (ASD) have been characterized by altered cerebral cortical structures; however, the field has yet to identify consistent markers and prior studies have included mostly adolescents and adults. While there are multiple cortical morphological measures, including cortical thickness, surface area, cortical volume, and cortical gyrification, few si...

Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression techniques, and demonstrate the appropriate use of ...

Multilevel modeling is often treated as if it concerns only regression analysis and growth modeling. Multilevel modeling, however, is relevant for nested data not only with regression and growth analysis but with all types of statistical analyses. This chapter has two aims. First, it shows that already in the traditional multilevel analysis areas of regression and growth there are several new m...