Special Issue on The Scientization of Public Decision-Making Processes – the Relevance for the Handling of the COVID-19 Pandemic

Public Organization Review -     

The Impact of Behavioral Couple Therapy on Attachment in Distressed Couples

Emotion‐focused therapy (EFT; Greenberg & Johnson, 1988 Emotionally focused therapy for couples. New York: Guilford Press) is anchored in attachment theory (Johnson, 2003 Attachment processes in couples and families. New York: Guilford) and considers change in attachment schemas essential in the process of improving satisfaction in relationships (Johnson, 1999, Research and couples therapy: Where do we go from here? American Family Therapy Academy Newsletter). However, there are little data on how measures of attachment change over the course of EFT or any other couple therapy. The current study examines whether increases in attachment security predict improvements in marital satisfaction during behavioral couple therapy, which would suggest that change in attachment style is a key process variable even for a non‐attachment‐focused treatment. Multilevel models of data from 134 couples participating in a randomized clinical trial of integrative behavioral couple therapy and traditional behavioral couple therapy (Christensen et al. Journal of Consulting and Clinical Psychology, 72, 2004, 176) indicate that although there is a trend for early change in attachment‐related anxiety and avoidance to predict later change in marital satisfaction, early change in marital satisfaction strongly predicts change in attachment‐related anxiety through the end of treatment and 2‐year follow‐up. These findings suggest that changes in satisfaction may lead to changes in attachment rather than the reverse and that change in attachment may not be the mechanism of change in all efficacious couple therapy.     

Reply to the Commentaries: Of Course,We Do Not Yet Know What it is All About,But Functional Contextualism is a Good Place to Start

In this reply to the commentaries, we note several points of disagreement with Johnson and Greenman on theoretical and empirical grounds. We are particularly surprised by their assumption that attachment has already been established as the key mechanism of change in couple therapy, as our present findings do not support this idea. We also elaborate on Gurman's functional contextualist views and describe why IBCT may be a particularly helpful model for training new couple therapists in a contextualist way.     

Bayesian Binomial Regression: Predicting Survival at a Trauma Center

Standard methods for analyzing binomial regression data rely on asymptotic inferences. Bayesian methods can be performed using simple computations, and they apply for any sample size. We provide a relatively complete discussion of Bayesian inferences for binomial regression with emphasis on inferences for the probability of “success.” Furthermore, we illustrate diagnostic tools, perform model selection among nonnested models, and examine the sensitivity of the Bayesian methods.     

Developing a Rubric for Supervision of Students Counseling LGBTQ Clients

More than 100 pieces of anti-lesbian, gay, bisexual, transgender (LGBT) legislation are active in 2018. In this current political climate of “conscience clause” legislation, counselor educators and supervisors are poised to adopt more holistic practices in assessing and evaluating student and supervisee readiness to work with LGBT queer (Q) clients. The purpose of this article is to present a dispositional framework for assessment and evaluation and introduce the flexibility, integrity, awareness, stability, compassion, and openness (FIASCO) rubric of professional counseling dispositions. Two court cases, Keeton v. Anderson-Wiley and Ward v. Wilbanks, are used as case examples for applying the FIASCO rubric to situations involving LGBTQ clients.     

Ex Ante Project Evaluation and the Complexity of Early Decision-Making

This paper looks beyond more traditional evaluation activities to focus primarily on evaluation up front. It suggests that the early appraisal of an investment case or a project should apply essentially the same evaluation criteria that will be used in ex post evaluation, and thus increase the likelihood of a successful project outcome. However, the initial plan might be altered as result of subsequent analysis, assessment, negotiation, positioning, and the exercise of power. The last part of this paper presents an empirical study of 23 projects, which examines the complexity of processes that occur in the idea- and decision phases.     

The longevity gender gap: are telomeres the explanation?

In this Perspective, we focus on the greater longevity of women as compared with men. We propose that, like aging itself, the longevity gender gap is exceedingly complex and argue that it may arise from sex-related hormonal differences and from somatic cell selection that favors cells more resistant to the ravages of time. We discuss the interplay of these factors with telomere biology and oxidative stress and suggest that an explanation for the longevity gender gap may arise from a better understanding of the differences in telomere dynamics between men and women.     

A Note on the Portfolio Selection Problem

In this note we provide new results of interest in the portfolio choice problem when the risky opportunities are correlated: for a general vector (X₁, X₂,..., X_n) of risky opportunities we give new conditions for stochastic comparison among different portfolios choices and new necessary and sufficient conditions to characterize the portfolio which gives the maximal expected utility.     

Linear models that allow perfect estimation

The general Gauss–Markov model, Y = Xβ + e, E(e) = 0, Cov(e) = σ ² V, has been intensively studied and widely used. Most studies consider covariance matrices V that are nonsingular but we focus on the most difficult case wherein C(X), the column space of X, is not contained in C(V). This forces V to be singular. Under this condition there exist nontrivial linear functions of Q′Xβ that are known with probability 1 (perfectly) where ${C(Q)=C(V)^\perp}$ . To treat ${C(X) \not \subset C(V)}$ , much of the existing literature obtains estimates and tests by replacing V with a pseudo-covariance matrix T = V + XUX′ for some nonnegative definite U such that ${C(X) \subset C(T)}$ , see Christensen (Plane answers to complex questions: the theory of linear models, 2002, Chap. 10). We find it more intuitive to first eliminate what is known about Xβ and then to adjust X while keeping V unchanged. We show that we can decompose β into the sum of two orthogonal parts, β = β ₀ + β ₁, where β ₀ is known. We also show that the unknown component of X β is ${X\beta_1 \equiv \tilde{X} \gamma}$ , where ${C(\tilde{X})=C(X)\cap C(V)}$ . We replace the original model with ${Y-X\beta_0=\tilde{X}\gamma+e}$ , E(e) = 0, ${Cov(e)=\sigma^2V}$ and perform estimation and tests under this new model for which the simplifying assumption ${C(\tilde{X}) \subset C(V)}$ holds. This allows us to focus on the part of that parameters that are not known perfectly. We show that this method provides the usual estimates and tests.