体温计知识及诊断技术在近代中国的传播与应用——

19世纪末,体温计作为西方医学发展出的新型医疗器具被广泛应用于临床。体温计知识及诊断技术也是西方医学在华传播的重要内容之一,梳理并探讨了其在近代中国的传播途径和应用过程。中医界对于体温计及诊断技术则表现出既接纳又排斥的复杂态度。受中西汇通思想的影响,中医医家将“衷中参西”观念贯彻于诊疗模式,以体温计可以精确测知体温变化之长协助中医临床的辨证。虽然对于“传统”中医四诊诊断模式而言,体温计的应用不免会破坏其传统性,但也在不断受到西医新的诊疗器具与诊断技术的挑战中寻求传承与发展。

     

系统生物学的发展与思维方法的变革

通过论述系统生物学发展的动因及其对未来生命科学发展的影响,揭示生命科学研究正发生一场从分子生物学时代过渡到系统生物学时代的趋势,必将推动科研思维方法的变革。     

A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods

Multirater (multimethod, multisource) studies are increasingly applied in psychology. Eid and colleagues (2008) proposed a multilevel confirmatory factor model for multitrait-multimethod (MTMM) data combining structurally different and multiple independent interchangeable methods (raters). In many studies, however, different interchangeable raters (e.g., peers, subordinates) are asked to rate different targets (students, supervisors), leading to violations of the independence assumption and to cross-classified data structures. In the present work, we extend the ML-CFA-MTMM model by Eid and colleagues (2008) to cross-classified multirater designs. The new C4 model (Cross-Classified CTC[M-1] Combination of Methods) accounts for nonindependent interchangeable raters and enables researchers to explicitly model the interaction between targets and raters as a latent variable. Using a real data application, it is shown how credibility intervals of model parameters and different variance components can be obtained using Bayesian estimation techniques.     

Grounded Theory methods in child psychotherapy research

This article considers the place of qualitative research in psychoanalysis and child psychotherapy. It discusses why research methodology for many years occupied so small a place in these fields, and examines the cultural and social developments since the 1960s which have changed this situation, giving formal but also qualitative methods of research much greater significance. It reflects on the different pressures to develop explicit research methods which arise both from outside the psychoanalytic field, as a condition of its continued professional survival, and from within it, where its main aim is the development of fundamental psychoanalytic knowledge. It suggests that the conduct of mainly quantitative research into treatment outcomes is largely a response to these external pressures, whilst the main benefits to be gained from the development of qualitative research methods, such as Grounded Theory, are in facilitating the knowledge-generating capacities and achievements of child psychotherapists themselves. The paper describes Grounded Theory methods, and explains how they can be valuable in the recognition of hitherto unrecognised meanings and patterns as these are made visible in clinical practice. Finally, it briefly describes three examples of completed doctoral studies, all of which have added significantly to the knowledge-base of child psychotherapy, and which demonstrate how much can be accomplished using this method of research.     

Robust Methods for Moderation Analysis with a Two-Level Regression Model

Moderation analysis has many applications in social sciences. Most widely used estimation methods for moderation analysis assume that errors are normally distributed and homoscedastic. When these assumptions are not met, the results from a classical moderation analysis can be misleading. For more reliable moderation analysis, this article proposes two robust methods with a two-level regression model when the predictors do not contain measurement error. One method is based on maximum likelihood with Student's t distribution and the other is based on M-estimators with Huber-type weights. An algorithm for obtaining the robust estimators is developed. Consistent estimates of standard errors of the robust estimators are provided. The robust approaches are compared against normal-distribution-based maximum likelihood (NML) with respect to power and accuracy of parameter estimates through a simulation study. Results show that the robust approaches outperform NML under various distributional conditions. Application of the robust methods is illustrated through a real data example. An R program is developed and documented to facilitate the application of the robust methods.     

Career counseling meets motivational interviewing: A sequential analysis of dynamic counselor–client interactions

Motivational Interviewing (MI) is a client-centered communication style with the aim to resolve client ambivalence within a change-related counseling. Its potential benefit for career counseling has been discussed by several scholars but no empirical research has investigated MI in this context so far. The current study used process measures from MI to investigate dynamic interactions within a career counseling intervention. Overall, we analyzed two videotaped sessions of 14 unique counselor–client dyads. Verbal behavior of counselors and clients were coded with two observational coding schemes from MI (one for counselors and one for clients, respectively). Behavior profiles of counselors were compared with benchmarks of good MI. Furthermore, client verbal ambivalence was compared between sessions. Finally, we conducted lag sequential analyses to analyze temporal dynamics between counselor behavior and immediate client verbal responses across N = 6883 behavioral events. Our results showed, first, behavior profiles of career counselors did significantly differ from recommended counseling benchmarks of good MI practice. Second, as assumed on the basis of past studies, client ambivalence decreased across sessions. Third, MI consistent counselor behaviors showed a positive sequential association with client positive career talk, whereas MI inconsistent counselor behaviors showed the reverse pattern. Our results suggest that counseling behaviors recommended from MI are facilitating career interventions. We discuss how trainings in MI could amend career counseling interventions and provide ethical implications when integrating MI into career counseling programs.     

Qualitatively driven mixed‐methods approaches to counselling and psychotherapy research

Many researchers and clinicians take an ‘either, or’ position regarding factors responsible for change when conducting research. Qualitatively driven mixed methods privilege the qualitative approach and offer the opportunity to generate multi‐dimensional material, permitting a more holistic insight into experiences that can be understood from a combination of epistemological and ontological stances. A qualitatively driven mixed‐methods approach apply a ‘both, and’ position when exploring the elements that produce change or that are under investigation, which can be of particular value to counselling and psychotherapy research. There are various ways of engaging with qualitatively driven mixed methods. Some designs include both qualitative and quantitative components, where the former is the core element. The secondary component may also be qualitative, known as a multimethod design. Yet, other designs mix different qualitative approaches, through the application of different qualitative analyses to the same data (pluralistic qualitative research). This paper discusses the application and value of qualitatively driven mixed methods in counselling and psychotherapy research through the presentation of two research case studies; one which mixes both qualitative and quantitative components to investigate the experiences of pain alleviation following a CBT pain management programme; and one which applies a pluralistic approach to a counselling psychology doctorate exploring the experiences and meanings attached to self‐harming. Through illustration and discussion of the case studies’ mixed‐methods approaches, this paper demonstrates that qualitatively driven mixed methods produce a more enhanced and holistic understanding into phenomena, and therefore a more balanced perspective to counselling and psychotherapy research.