Exceptionalism or Chinamerica: Measuring Religious Change in the Globalizing World Today

Religion is changing fast in this era of globalization. Major global trends include the growth of Muslims, the shrinking percentage of unaffiliated, and the rapid rise of Christianity in global China. By 2030, China is likely to become the largest Christian country in the world while retaining large numbers of Buddhists, Muslims, and folk religious believers. To capture religious changes more accurately, social scientists of religion must sharpen their measurement tools regarding religiosity; pay more attention to the reality of nonalignment among religious identity, belief, and practice; and acknowledge the reality of nonexclusive/multiple religious beliefs, practices, and identities. Scholars must also take responsibility for developing a clear and nuanced definition of religion, abandon exceptionalist thinking, and seek to discover common patterns of religious change across societies. Conceptual and measurement tools at the disposal of social scientists of religion should enable us to perceive and understand the converging changes of religion in China, the United States, and other societies, without ignoring their historical differences and contemporary particularities.     

Nesselroade and Molenaar's Measurement Concerns and Proposals: An Introduction

In this special section Nesselroade and Molenaar (N & M) propose a provocative new approach to measurement invariance. When measures are collected repeatedly over time (e.g., daily diary studies), a potentially unique measurement model relating the items to the underlying construct can be created for each individual. If hypothesized causal paths specified between constructs (e.g., frustration → aggression) can be constrained to be equal across the individuals, a model with idiographic measurement of the constructs, but with nomothetic structural relationships can be specified. Three commentaries react to N & M's proposal. Revelle and Wilt challenge the priority given by N & M to unique individual measurement structures, arguing that between subjects differences in structural relationships are empirically important and meaningful. Markus's uses David Hume's framework to raise philosophy of science challenges for N & M's approach. Maydeu-Olivares challenges the incremental validity of N & M's approach, arguing that N & M's approach is unlikely to improve the prediction of between subjects criteria. Finally, N & M present a rejoinder to the three commentaries.     

A single session of meditation reduces of physiological indices of anger in both experienced and novice meditators

The goal of the present study was to explore how anger reduction via a single session of meditation might be measured using psychophysiological methodologies. To achieve this, 15 novice meditators (Experiment 1) and 12 practiced meditators (Experiment 2) completed autobiographical anger inductions prior to, and following, meditation training while respiration rate, heart rate, and blood pressure were measured. Participants also reported subjective anger via a visual analog scale. At both stages, the experienced meditators’ physiological reaction to the anger induction reflected that of relaxation: slowed breathing and heart rate and decreased blood pressure. Naïve meditators exhibited physiological reactions that were consistent with anger during the pre-meditation stage, while after meditation training and a second anger induction they elicited physiological evidence of relaxation. The current results examining meditation training show that the naïve group’s physiological measures mimicked those of the experienced group following a single session of meditation training.     

A simulator study of factors influencing drivers’ behavior at traffic lights

Drivers’ reactions to changing traffic lights have an impact on safety at intersections. We examined the influence of transient factors – more specifically time pressure and social context, both conducive to traffic-light violation – on behavior behind the wheel when a traffic light changes. We carried out an experiment on a driving simulator. The participants were 94 car drivers (53 males) with a mean age of 21.7 years. They drove under time pressure vs. no time pressure. At several intersections the participants were alone (no other drivers present), whereas at several other intersections they were behind a line-up of vehicles, the last of which ran the yellow light (other drivers present). As expected, time pressure and social context (presence of other drivers) increased participants’ risky behaviors while approaching, and going through traffic lights, as well as undesirable rapid accelerations when the signal changes to green. The effect of time pressure on yellow-light running was not mediated by approach speed, which showed that participants in a hurry were likely to run lights intentionally. The results are interpreted in view of proposing effective measures for reducing yellow-light running and rapid accelerations at traffic lights.     

Quantification of human confidence in functional relations

What makes people infer that two continuous-valued entities are functionally related? Involving factors influencing human confidence in the existence of a functional link between two supposed variables has not so far been discussed in function learning literature. By examining this problem and based on relevant results from cognitive psychology, I propose a hypothesis according to which human confidence in a link between cue and criterion is affected by three factors: The difficulty of functions, the level of noise in observed data, and the sample size. Here, the formalization of this hypothesis forms a novel mathematical model of function learning which can also be used for predictions; so the resulting model receives cue-criterion pairs of a supposed relation and produces two outputs: Confidence and predicting function. In an experiment, the performance of a computational implementation of the model is compared with human data. The results show that the model is successful in tracking changes in human confidence. A close correspondence between the predictions of the model and humans was also achieved.     

A Qualitative Analysis of Home‐Based Counselors' Experiences in a Rural Setting

This qualitative study sought to understand the experiences of home‐based counselors working in a rural setting. In‐depth interviews were conducted with 12 counselors who were asked to describe their experiences in the areas of preparedness, professional development, challenges, and gender‐specific experiences. Fourteen coding categories emerged from the interviews, which led to the findings of 3 overarching themes: shared isolation, ethical ambiguity, and the high‐intensity nature of the job. Recommendations for home‐based counselors, agencies, and professional counseling associations are discussed.     

Cross‐cultural Generalizability of the Alternative Five‐factor Model Using the Zuckerman–Kuhlman–Aluja Personality Questionnaire

Several personality models are known for being replicable across cultures, such as the Five‐Factor Model (FFM) or Eysenck's Psychoticism–Extraversion–Neuroticism (PEN) model, and are for this reason considered universal. The aim of the current study was to evaluate the cross‐cultural replicability of the recently revised Alternative FFM (AFFM). A total of 15 048 participants from 23 cultures completed the Zuckerman–Kuhlman–Aluja Personality Questionnaire (ZKA‐PQ) aimed at assessing personality according to this revised AFFM. Internal consistencies, gender differences and correlations with age were similar across cultures for all five factors and facet scales. The AFFM structure was very similar across samples and can be considered as highly replicable with total congruence coefficients ranging from .94 to .99. Measurement invariance across cultures was assessed using multi‐group confirmatory factor analyses, and each higher‐order personality factor did reach configural and metric invariance. Scalar invariance was never reached, which implies that culture‐specific norms should be considered. The underlying structure of the ZKA‐PQ replicates well across cultures, suggesting that this questionnaire can be used in a large diversity of cultures and that the AFFM might be as universal as the FFM or the PEN model. This suggests that more research is needed to identify and define an integrative framework underlying these personality models. Copyright © 2016 European Association of Personality Psychology     

Comparing OECD PISA Reading in English to Other Languages: Identifying Potential Sources of Non-Invariance

The use of the Programme for International Student Assessment (PISA) across nations, cultures, and languages has been criticized. The key criticisms point to the linguistic and cultural biases potentially underlying the design of reading comprehension tests, raising doubts about the legitimacy of comparisons across economies. Our research focused on the type and magnitude of invariance or non-invariance in the PISA Reading Comprehension test by language, culture, and economic development relative to performance of the Australian English-speaking reference group used to develop the tests. Multi-Group Confirmatory Factor Analysis based on means and covariance structure (MACS) modeling was used to establish a d_MACS effect size index for each economy for the degree of non-invariance. Only three wealthy, English-speaking countries had scalar invariance with Australia. Moderate or large effects were observed in just 31% of the comparisons. PISA index of economic, social and cultural status had a moderate inverse correlation with dMACS suggesting that socioeconomic resourcing of education played a significant role in measurement invariance, while educational practice and language factors seemed to play a further small role in non-invariance. Alternative approaches to reporting PISA results consistent with non-invariance are suggested.