Cross-channel amplitude sweeps are crucial to speech intelligibility

Classical views of speech perception argue that the static and dynamic characteristics of spectral energy peaks (formants) are the acoustic features that underpin phoneme recognition. Here we use representations where the amplitude modulations of sub-band filtered speech are described, precisely, in terms of co-sinusoidal pulses. These pulses are parameterised in terms of their amplitude, duration and position in time across a large number of spectral channels. Coherent sweeps of energy across this parameter space are identified and the local transitions of pulse features across spectral channels are extracted. Synthesised speech based on manipulations of these local amplitude modulation features was used to explore the basis of intelligibility. The results show that removing changes in amplitude across channels has a much greater impact on intelligibility than differences in sweep transition or duration across channels. This finding has severe implications for future experimental design in the fields of psychophysics, electrophysiology and neuroimaging.     

Personality accounts for stable preferences and expectations across a range of simple games

Behaviour on even simple experimental games shows considerable individual differences, but previous attempts to link these preferences to stable personality traits have had mixed results. Here we address three limitations of earlier studies, namely: (1) uncertainties concerning the reliability of preferences; (2) use of personality instruments with limited cross-study comparability; and (3) confounds where more than one psychological motive can lead to a particular choice. Sixty-seven participants completed 12 distinct real-money games twice over a two-week interval along with 6 measures concerning their expectations about other players’ choices. Personality was measured using the full NEO-PI-R. Choices were highly stable across time (r = .84). Moreover, choices on the 12 games and 6 expectations reflected a single underlying dimension of “prosocial orientation”, measuring concern for the payoffs received by other players. Scores on the prosocial orientation dimension were related to personality, with openness, (low) neuroticism, and (low) extraversion retained as significant predictors.     

Strengthening Communities: A Qualitative Assessment of Opportunities for the Prevention of Adverse Childhood Experiences in the Wake of the Opioid Crisis

Journal of Child and Family Studies - The opioid crisis is a significant challenge for health and human service systems that serve children, youth, and families across the United States. Between...     

It has been said that, “There are three degrees of falsehoods: Lies,damn lies,and statistics”

Applied behavior analysis (ABA) researchers have historically eschewed population-based, inferential statistics, preferring to conduct and analyze repeated observations of each participant's responding under carefully controlled and manipulated experimental conditions using single-case designs (SCDs). In addition, early attempts to adapt traditional statistical procedures for use with SCDs often involved trade-offs between experimental and statistical control that most ABA researchers have found undesirable. The statistical methods recommended for use with SCDs in the current special issue represent a welcome departure from such prior suggestions in that the current authors are proposing that SCD researchers add statistical methods to their current practices in ways that do not alter traditional SCD practices. Further refinement and use of such methods would (a) facilitate the inclusion of research using SCDs in meta-analyses and (b) aid in the development and planning of grant-funded research using SCD methods. Collaboration between SCD researchers and statisticians, particularly on research that demonstrates the benefit of these methods, may help promote their acceptance and use in ABA.     

Using census data in the management of religious diversity: an Australian case study

Abstract

Mapping and measuring religious diversity has become critical to the management of interreligious relations in the 21st century. The data about religious identification provided by the Australian census since the formation of Federal Government in Australia, and prior to that in the Colonies, has provided detailed information about the extent of and changes in religious diversity in the nation and in particular cities. Because the census also provides very detailed information about where people of different religions live, it can provide information about the extent to which religious groups are residentially segregated, a factor which affects how people of different religions relate to each other. The methodological issues related to measuring diversity are discussed and the utility in urban contexts of a ‘dissimilarity scale’ is demonstrated. The unique contribution of census data to the mapping and management of religious diversity in Australia is presented.     

Validity of the SF-12 in a Canadian Old Order Mennonite Community

To assess the validity of the Physical and Mental Component Summary scores (PCS-12 and MCS-12) of the SF-12 Health Survey (SF-12) in an Old Order Mennonite (OOM) community in Ontario, Canada. Most SF-12 validation studies have focused on general populations or clinical groups. This paper adds to the SF-12 literature by validating the instrument in a minority population. Sixty percent of the adult OOM population (n?=?1,171) completed a survey which had the SF-12 embedded within it. The survey also included questions on health determinants and the prevalence of chronic conditions. Factor analysis was used to confirm the two-factor structure of the SF-12. Item-scale correlations were calculated to assess convergent and discriminant validity. PCS-12 and MCS-12 variability by known subgroups were also explored. Factor analysis confirmed the two-factor structure and hypothesized loadings on the latent physical and mental health factors. Item-scale correlations demonstrated satisfactory convergent and discriminant validity. SF-12 summary scores distinguished well, and in the expected manner, between groups of respondents for gender, age, income adequacy, marital status, self-reported health measures, and other health determinants such as coping, trust, social interaction, and spirituality. PCS-12 and MCS-12 scores were lower in those with various chronic conditions compared to those without.The SF-12 appears to be a valid instrument for measuring health status in this minority population. Future SF-12 studies in OOMs and other populations may benefit from using Version 2 of the SF-12, where the dichotomous questions have been replaced by questions offering respondents more choice.