ISSN : 1229-067X
The prevalence of depression, anxiety, suicidality, and trauma remains notably high among the Korean population. This situation seriously impacts the quality of life, productivity, and social connectedness while exacerbating socioeconomic burden, leading to the world’s lowest fertility rate and highest suicide risks. Evidence-based practice (EBP) provides research-supported treatments tailored to the client’s needs by the clinician with expertise, efficacy of which is widely acknowledged in addressing these mild to moderate mental health issues. However, access to evidence-based psychological services in South Korea is severely limited. This paper introduces evidence-based practice as a foundational element for psychological services and conducts a comparative analysis of evidence-based psychotherapy policies in the United Kingdom and Norway. Finally, it underscores the urgency of implementing evidence-based practice for the entire Korean population. and proposes a blueprint for policies governing psychological services.
Delivering high-quality psychological services requires the cultivation of competent professionals. Legislation concerning psychological services outlines criteria for service providers' qualifications, encompassing educational background, degrees, and training. This paper compares the education and training requirements specified in five proposed bills related to psychological services and suggests qualification standards for professionals in line with the domestic context. Insights are drawn from effective psychological service practices in Europe and the United States. The comparative analysis reveals significant variations in three main aspects: the provider's major, degree requirements, and training. Only one bill explicitly specifies a major in psychology and a postgraduate degree as prerequisites for educational qualifications, while others include counseling or recognize undergraduate degrees. Some bills mandate only practical experience without supervised training, raising concerns about potential compromises in service quality. To address these issues, the paper suggests adapting a modified version of the Europe system, based on psychological education with bachelor's and master's degrees, a minimum of three years of supervised training, and a certification system with a overseeing committee. The proposed system emphasizes mandatory training areas rather than specific subjects. The establishment of legislation and systems related to psychological services should prioritize the public interest, addressing the essential process of reconciling conflicts among stakeholders. This paper proposes a fundamental philosophy prioritizing evidence-based scientific services, serving as a core criterion for negotiation and compromise among stakeholders.
Piecewise linear growth model(PLGM) is useful to model for non-linear trajectories. In PLGM, entire assessment period is split into multiple phases at points called “knots’, and separate linear growth model is applied to each phase. Because linear growth model is used at each phase, the interpretation of growth factors is more straightforward and theoretically meaningful compared to other methods for modeling non-linear growths. In addition, radical changes at the knot can lead to disjointed trajectories (referred to as ”jump“ in the follwing) at knots, and PLGM can model the jump. However, such advantage of PLGM is often overlooked in applications of PLGM. In this study, we reviewed parameterizations of PLGM that allow the estimation of the jump in disjointed trajectories, and examined consequences, in terms of estimation bias and model fit, of model misspecification by omitting the jump. For this purpose, we generated datasets with trajectories with various degrees of jumps and analyzed the datasets using the PLGM proposed by Harring et al. (2006), which estimates the location of the knot, instead of setting it at an a priori point. Thus, we were also able to examine the estimation of the knot locations in the presence of the model misspecification. In our results, with increasing degrees of the jump, in general, the bias of parameter estimates increased and the model fit declined. The results showed that, in most situations, it is a good idea to include the jump in the applications of PLGM, unless there is a strong theoretical background to omit the jump. We also provided practical strategies in the applications of PLGM based on our results.