Using evidence-based accreditation standards to promote continuous quality improvement: the experiences of the San Mateo County Human Services Agency

Following a difficult period of service provision, an agency determined that drastic changes were needed to improve agency-wide capacity and functioning. The agency engaged in an organizational level self-assessment aimed at identifying areas for improvement and beginning work towards determining professional standards for service. Results of this organizational self-assessment paved the way for pursuing accreditation of its services, and the agency became the first public agency in its state to be accredited by the Council on Accreditation in all eligible services. This case study describes this agency's efforts in engaging in an organizational self-assessment, the analysis and codification of their practices, and their eventual development of a systematized process for capturing, evaluating and improving practice.     

Mental health status of the Hmong Americans in 2011: three decades revisited

This article provides a comprehensive overview of the Hmong in America and encompasses their mental health status for the past 35 years. Since their mass arrival to the United States in 1975, limited research has been compiled to track the specific mental health issues that affect this collective community alone. Major chronological research findings were compiled for this article and specific findings concerning the Hmong and their mental health issues were compared to findings for other Southeast Asian groups. In conclusion, the findings of this article indicate that the Hmong still have higher rates of being diagnosed with depression, the lowest help-seeking behaviors in utilizing Western medicine, and the lowest arithmetic average of "happiness" scaled on an assessment tool. The purpose of this article is to better steer future research projects that entail tracking and differentiating the specific mental health domains of the Hmong.     

DESPERATE TIMES CALL FOR DESPERATE MEASURES: GOVERNMENT SPENDING MULTIPLIERS IN HARD TIMES

We investigate state-dependent effects of fiscal multipliers and allow for endogenous sample splitting to determine whether the U.S. economy is in a slack state. When the endogenized slack state is estimated as the period of the unemployment rate higher than about 12%, the estimated cumulative multipliers are significantly larger during slack periods than nonslack periods and are above unity. We also examine the possibility of time-varying regimes of slackness and find that our empirical results are robust under a more flexible framework. Our estimation results point out the importance of the heterogenous effects of fiscal policy and shed light on the prospect of fiscal policy in response to economic shocks from the current COVID-19 pandemic. (JEL C32, E62, H20, H62)     

Pressure to Attend Therapy,Dyadic Adjustment,and Adverse Childhood Experiences: Direct and Indirect Effects on the Therapeutic Alliance in Couples Therapy

In this study we examine the role that pressure to attend therapy, dyadic adjustment, and adverse childhood experiences (ACEs) play in developing the therapeutic alliance. A total of 351 couples received treatment as usual at three family therapy training clinics. Participants rated predictor variables at intake and alliance at the fourth session. Results of a path analysis indicate that each partner's dyadic adjustment is directly associated with the quality of her or his own alliance. In addition, when male partners report more ACEs and pressure to attend treatment, their own alliance scores decrease. Additionally, when one partner reports feeling pressure to attend therapy, the other partner's alliance decreases. Finally, for males, there is an indirect effect of dyadic adjustment on alliance through pressure to attend therapy. These results suggest that clinicians should routinely assess relationship adjustment, how pressured each partner is feeling to attend treatment, and ACEs; as these may impact alliance quality.     

An Introduction and Illustration of Bayesian Modeling in Couple and Family Therapy Research

Bayesian modeling is becoming increasing popular as a method for data analyses in the social sciences and can move couple, marriage, and family therapy (C/MFT) research forward. Bayesian modeling helps researchers better understand the uncertainty of findings and incorporate previous research into analyses. Other benefits of Bayesian modeling are the straightforward interpretation of findings, high-quality inferences even with small samples (in combination with an informative prior), and the ability to work with complex data structures (observations nested in relationships and time points) which are common in C/MFT research. This article introduces the benefits of Bayesian modeling and provides an example of an Actor–Partner Interdependence Model using R. Information on how to conduct the same analyses using Stata and MPlus is provided in the Supplemental Information.     

The intergenerational transmission of income mobility between mothers and their young adult daughters: The mediating role of their daughters' educational attainment

This study examines whether the daughters' educational attainment mediates the intergenerational transmission of economic mobility between mothers and their young adult daughters. To create mother–daughter dyads, two data sets were combined: The National Longitudinal Survey of Youth 1979 (NLSY79) and the National Longitudinal Survey of Youth 79 for Children and Young Adults (NLSY79 CY). A total of 2,456 dyads were included for analysis. We used a mediation model to explore the relationship between mothers' income and their young adult daughters' income. Mothers' income was associated with their young adult daughters' educational attainment and income. The mediation model indicated partial mediation of the relationship between mothers' income and their young adult daughters' income via their young adult daughters' educational attainment. Addressing issues of income inequality among mothers may serve as a buffer against the low upward mobility across generations for their young adult daughters raised by low-income mothers. It is imperative to provide programs and financial assistance for mothers to bolster their income and thereby their daughters' educational attainment and income in young adulthood and therefore improve economic mobility from mothers to daughters.     

Asymptotic Distributions of Quasi‐Maximum Likelihood Estimators for Spatial Autoregressive Models

This paper investigates asymptotic properties of the maximum likelihood estimator and the quasi‐maximum likelihood estimator for the spatial autoregressive model. The rates of convergence of those estimators may depend on some general features of the spatial weights matrix of the model. It is important to make the distinction with different spatial scenarios. Under the scenario that each unit will be influenced by only a few neighboring units, the estimators may have ‐rate of convergence and be asymptotically normal. When each unit can be influenced by many neighbors, irregularity of the information matrix may occur and various components of the estimators may have different rates of convergence.     

Leadership,creativity, and innovation: A critical review and practical recommendations

Leadership is a key predictor of employee, team, and organizational creativity and innovation. Research in this area holds great promise for the development of intriguing theory and impactful policy implications, but only if empirical studies are conducted rigorously. In the current paper, we report a comprehensive review of a large number of empirical studies (N?=?195) exploring leadership and workplace creativity and innovation. Using this article cache, we conducted a number of systematic analyses and built narrative arguments documenting observed trends in five areas. First, we review and offer improved definitions of creativity and innovation. Second, we conduct a systematic review of the main effects of leadership upon creativity and innovation and the variables assumed to moderate these effects. Third, we conduct a systematic review of mediating variables. Fourth, we examine whether the study designs commonly employed are suitable to estimate the causal models central to the field. Fifth, we conduct a critical review of the creativity and innovation measures used, noting that most are sub-optimal. Within these sections, we present a number of taxonomies that organize extant research, highlight understudied areas, and serve as a guide for future variable selection. We conclude by highlighting key suggestions for future research that we hope will reorient the field and improve the rigour of future research such that we can build more reliable and useful theories and policy recommendations.