Survey experiments are ubiquitous in social science. A frequent critique is that positive results in these studies stem from experimenter demand effects (EDEs)—bias that occurs when participants ...infer the purpose of an experiment and respond so as to help confirm a researcher’s hypothesis. We argue that online survey experiments have several features that make them robust to EDEs, and test for their presence in studies that involve over 12,000 participants and replicate five experimental designs touching on all empirical political science subfields. We randomly assign participants information about experimenter intent and show that providing this information does not alter the treatment effects in these experiments. Even financial incentives to respond in line with researcher expectations fail to consistently induce demand effects. Research participants exhibit a limited ability to adjust their behavior to align with researcher expectations, a finding with important implications for the design and interpretation of survey experiments.
Research has generated valuable knowledge in identifying, understanding, and intervening to address inequities in the delivery of healthcare, yet these inequities persist. The best available ...interventions, programs and policies designed to address inequities in healthcare are not being adopted in routine practice settings. Implementation science can help address this gap by studying the factors, processes, and strategies at multiple levels of a system of care that influence the uptake, use, and the sustainability of these programs for vulnerable populations. We propose that an equity lens can help integrate the fields of implementation science and research that focuses on inequities in healthcare delivery.
Using Proctor et al.' (12) framework as a case study, we reframed five elements of implementation science to study inequities in healthcare. These elements include: 1) focus on reach from the very beginning; 2) design and select interventions for vulnerable populations and low-resource communities with implementation in mind; 3) implement what works and develop implementation strategies that can help reduce inequities in care; 4) develop the science of adaptations; and 5) use an equity lens for implementation outcomes.
The goal of this paper is to continue the dialogue on how to critically infuse an equity approach in implementation studies to proactively address healthcare inequities in historically underserved populations. Our examples provide ways to operationalize how we can blend implementation science and healthcare inequities research.
Purpose: We intend to identify the links between Covid-19 and domestic violence, expose the potential reasons behind an increase in domestic violence cases due to Covid-19, and argue that rising ...incidence of domestic violence may lead to economic and social crisis. Method: This is a brief note in which authors rely on various statistics and insights regarding domestic violence since the detection of Covid-19. Based on the available statistics regarding domestic violence prevalence during previous times of uncertainty, the number and nature of domestic violence incidents around the globe, and existing literature, the authors argue that clear links exist between Covid-19 and domestic violence, which also impacts on the economic and social crisis. Results: Countries across the world are battling Covid-19 by enacting measures to reduce the speed of transmission. Multiple reports, however, suggest that such measures are increasing the incidence of domestic violence and not only in number but also in severity. We find that layoffs, loss of income, extended domestic stays, and exposure to habits due to stay-at-home orders are driving up the incidence of domestic violence. Moreover, these domestic violence increases are driving economic and social crises due to the form and severity of the violence, the burden placed on government, a crisis of resources, and decreases in the productivity of workforces. Conclusion: Domestic violence increase resulting from Covid-19 is an indirect driver of economic and social crisis. This brief note proposes certain policy changes and strategies required to reduce domestic violence incidence during this turbulent time.
A sense of fairness plays a critical role in supporting human cooperation. Adult norms of fair resource sharing vary widely across societies, suggesting that culture shapes the acquisition of ...fairness behaviour during childhood. Here we examine how fairness behaviour develops in children from seven diverse societies, testing children from 4 to 15 years of age (n = 866 pairs) in a standardized resource decision task. We measured two key aspects of fairness decisions: disadvantageous inequity aversion (peer receives more than self) and advantageous inequity aversion (self receives more than a peer). We show that disadvantageous inequity aversion emerged across all populations by middle childhood. By contrast, advantageous inequity aversion was more variable, emerging in three populations and only later in development. We discuss these findings in relation to questions about the universality and cultural specificity of human fairness.
As replications of individual studies are resource intensive, techniques for predicting the replicability are required. We introduce the repliCATS (Collaborative Assessments for Trustworthy Science) ...process, a new method for eliciting expert predictions about the replicability of research. This process is a structured expert elicitation approach based on a modified Delphi technique applied to the evaluation of research claims in social and behavioural sciences. The utility of processes to predict replicability is their capacity to test scientific claims without the costs of full replication. Experimental data supports the validity of this process, with a validation study producing a classification accuracy of 84% and an Area Under the Curve of 0.94, meeting or exceeding the accuracy of other techniques used to predict replicability. The repliCATS process provides other benefits. It is highly scalable, able to be deployed for both rapid assessment of small numbers of claims, and assessment of high volumes of claims over an extended period through an online elicitation platform, having been used to assess 3000 research claims over an 18 month period. It is available to be implemented in a range of ways and we describe one such implementation. An important advantage of the repliCATS process is that it collects qualitative data that has the potential to provide insight in understanding the limits of generalizability of scientific claims. The primary limitation of the repliCATS process is its reliance on human-derived predictions with consequent costs in terms of participant fatigue although careful design can minimise these costs. The repliCATS process has potential applications in alternative peer review and in the allocation of effort for replication studies.
Researchers have documented the power of legal officials to administer sanctions, from arrest to court surveillance and incarceration. How do those subject to punishment interact with officials and ...attempt to subvert their power? Drawing on interviews and ethnographic observations among 63 criminal defendants and 42 legal officials in the Boston-area court system, this article considers how socioeconomically and racially disadvantaged defendants interact with their defense attorneys, and with what consequences. Given racialized and classed constraints, many disadvantaged defendants mistrust their court-appointed lawyers. Their mistrust often results in withdrawal from their lawyers and active efforts to cultivate their own legal knowledge and skills. Defendants use their lay legal expertise to work around and resist the authority of their lawyers. Defense attorneys and judges respond with silencing and coercion, given the unwritten norms and rules of the court. These findings complicate existing accounts of disadvantaged defendants as passive actors and contribute to cultural sociological and relational theories of how people engage with professionals across institutional spaces. Unlike in mainstream institutions such as schools and hospitals where self-advocacy is rewarded in interactions, criminal court officials reject disadvantaged defendants’ attempts to advocate for themselves.
Reflecting on common empirical concerns in quantitative entrepreneurship research, recent calls for improved rigor and reproducibility in social science research, and recent methodological ...developments, we discuss new opportunities for further enhancing rigor in quantitative entrepreneurship research. In addition to highlighting common key concerns of editors and reviewers, we review recent methodological guidelines in the social sciences that offer more in-depth discussions of particular empirical issues and approaches. We conclude by offering a set of best practice recommendations for further enhancing rigor in quantitative entrepreneurship research.
Reliable measurements are key to social science research. Multiple measures of reliability of the total score have been developed, including coefficient alpha, coefficient omega, the greatest lower ...bound reliability, and others. Among these, the coefficient alpha has been most widely used, and it is reported in nearly every study involving the measure of a construct through multiple items in social and behavioral research. However, it is known that coefficient alpha underestimates the true reliability unless the items are tau-equivalent, and coefficient omega is deemed as a practical alternative to coefficient alpha in estimating measurement reliability of the total score. However, many researchers noticed that the difference between alpha and omega is minor in applications. Since the observed differences in alpha and omega can be due to sampling errors, the purpose of the present study, therefore, is to propose a method to evaluate the difference of coefficient alpha (
α
^
) and omega (
ω
^
) statistically. In particular, the current article develops a procedure to estimate the SE of (
ω
^
−
α
^
) and consequently the confidence interval (CI) for (
ω
−
α
). This procedure allows us to test whether the observed difference (
ω
^
−
α
^
) is due to sample error or
ω
^
is significantly greater than
α
^
. The developed procedure is then applied to multiple real data sets from well-known scales to empirically verify the values of (
ω
^
−
α
^
) in practice. Results showed that in most of the comparisons the differences are significantly above zero but cases also exist where the CIs contain zero. An R program for calculating
ω
^
,
α
^
, and the SE of (
ω
^
−
α
^
) is also included in the present study so that the developed procedure is easily accessible to applied researchers.
PDF
