La falacia de la validación personal: Más efectos placebo

RESUMEN

En este artículo se pone a prueba la influencia de efectos placebo en la aceptación de informes evaluativos y diagnósticos por los sujetos. Tras introducir brevemente el tema y plantear las hipótesis, los autores describen el método y los resultados de su investigación. En la discusión explican que estos resultados sugieren que la aceptación del diagnóstico que ofrece un profesional es un fenómeno general independiente de las características personales de los individuos que lo reciben, poniendo en entredicho el fenómeno de la validación personal y, al mismo tiempo, interactúa con determinadas características profesionales de los sujetos, ligadas a imágenes de personalidad a las que son más propensos. Los autores también analizan una limitación importante de su trabajo, el tamaño reducido de la muestra, y finalizan destacando que es el contenido del informe, más que el tipo de pruebas o profesionales, lo que parece afectar diferencialmente a distintos grupos profesionales.     

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Several approaches exist to model interactions between latent variables. However, it is unclear how these perform when item scores are skewed and ordinal. Research on Type D personality serves as a good case study for that matter. In Study 1, we fitted a multivariate interaction model to predict depression and anxiety with Type D personality, operationalized as an interaction between its two subcomponents negative affectivity (NA) and social inhibition (SI). We constructed this interaction according to four approaches: (1) sum score product; (2) single product indicator; (3) matched product indicators; and (4) latent moderated structural equations (LMS). In Study 2, we compared these interaction models in a simulation study by assessing for each method the bias and precision of the estimated interaction effect under varying conditions. In Study 1, all methods showed a significant Type D effect on both depression and anxiety, although this effect diminished after including the NA and SI quadratic effects. Study 2 showed that the LMS approach performed best with respect to minimizing bias and maximizing power, even when item scores were ordinal and skewed. However, when latent traits were skewed LMS resulted in more false-positive conclusions, while the Matched PI approach adequately controlled the false-positive rate.     

Social aspects of career choice from the perspective of habitus theory

The concept of habitus designates a cognitive structure that is socially embedded and can give valuable insight into the social influences on career choice. A study investigating the relationship of habitus to career choice is presented in a sample of Icelandic youth aged 19–22 (N = 476). Measures of habitus were developed on the basis of reported cultural and leisure activities. The analysis of leisure and cultural items progressed in two steps: factor analysis and cluster analysis. The clusters constitute the four different habitus groups: Pop and fashion, Sports and rock, Music, and Literature. Correspondence factor analysis showed that the habitus groups (clusters) were related to other social variables, such as gender and class; validating habitus theory. Additionally, habitus measures were strongly linked to career variables, such as occupational perception and preferred future occupation. The results support previous research in showing that habitus theory is relevant to career counseling theory and can be a basis of understanding the relationship between social structure and career choice.     

A psycho-social system approach to well-being: Empirically deriving the Five Domains of Positive Functioning

A new psycho-social system approach to well-being is presented, in which psychological and social functioning is understood through an empirically derived framework of five domains. A quantitative co-term analysis was performed on 3466 terms within 18,401 PsycINFO^® journal documents on topics related to positive psychology (PP) across disciplines such as psychology, education, management, business and psychiatry. The analysis revealed that research on PP topics can be classified into five broad domains: attention and awareness, comprehension and coping, emotions, goals and habits, and virtues and relationships. These domains provide a new systematic framework, the Five Domains of Positive Functioning, for understanding positive psycho-social functioning and exploring the underlying ways in which people function to achieve well-being outcomes. When used within the psycho-social system approach, the framework can be used in future research to clarify mechanisms of change, facilitate comparisons between different PP interventions and suggest ways to improve intervention effectiveness.     

The bidirectional relation between positive mental health and psychopathology in a longitudinal representative panel study

Background: There is accumulating evidence that positive mental health and psychopathology should be seen as separate indicators of mental health. This study contributes to this evidence by investigating the bidirectional relation between positive mental health and psychopathological symptoms over time. Methods: Positive mental health (MHC-SF) and psychopathological symptoms (BSI) were longitudinally measured in a representative adult sample (N?=?1932) on four measurement occasions in nine months. A cross-lagged panel design was applied and evaluated with a latent growth model combined with an item response theory measurement model. Results: Psychopathological symptoms were longitudinally related to positive mental health and vice versa, controlling for initial levels. The changes over time were even more important than the absolute levels of psychopathological symptoms and positive mental health, respectively. Conclusions: The results underline the need for a comprehensive perspective on mental health, incorporating both the treatment of symptoms and the enhancement of well-being.     

The effects of preexposure-test and conditioning-test intervals on the magnitude of latent inhibition

Using the conditioned taste aversion paradigm, two experiments were conducted to examine the effects of the interval between preexposure and test and that between conditioning and test on the magnitude of latent inhibition. Experiment 1 revealed that the degree of latent inhibition was attenuated when rats were given a 21‐day interval between preexposure and test. It was also found that this attenuation was more marked in subjects which were given conditioning immediately after preexposure than those which were conditioned shortly before the test. Retention interval between preexposure and test was reduced to 12 days in Experiment 2, and exactly the same pattern of results as those found in Experiment 1 was obtained. These findings suggest that the memory of conditioning as well as that of preexposure decreases its retrievability after a long retention interval, although the former is more retainable than the latter.     

A Latent Variable Framework for Power Estimation Within Intervention Contexts

This paper presents a latent growth SEM approach for the estimation of treatment effects, and power to detect such effects, within a true experimental design setting in which subjects are randomly assigned to treatment and control conditions. Power estimation is a critical component of intervention experiment design and the testing of their results. Although researchers have become increasingly sophisticated in applying tests for statistical significance in intervention contexts, few are aware of the power of these tests. The issues raised in this paper are not new; however, reminding researchers to consider these points is important. Exactly how the researcher handles these issues will depend on the questions asked and the resources available, as well as other considerations. Discussion underscores the relationship between the reliability of a study's measures and concomitant increases in power obtained within the SEM framework.     

Perceived product instrumentality: the process of scale purification and validation

Perceived product instrumentality (PPI) is a new construct that is proposed as a key process component of a general model of family purchasing behaviour. PPI reflects the degree to which consumers, apprehended as actors of social roles, deem a product to be helpful, facilitative of role performance, compatible with role identity and congruent with the self‐concept. The objective of this paper is threefold: (1) assess the PPI unidimensionality and reliability; (2) purify the PPI scale, and (3) assess its validity. First, a pilot survey was administered to a convenience sample of men and women, who filled in four identical lists of 33 items tapping their attitudes towards durables, and exploratory factor analysis was conducted on each set to explore the overall pattern of the items relationships. Five try‐out pools of different sizes (33, 28, 15, 13 and 9 items) were involved in the analysis. The 15‐item scale was retained. Secondly, a large‐scale survey was administered to 500 couples as part of an extensive research involving comprehensive model testing. Exploratory factor analysis was conducted on the whole sample for reliability and unidimensionality assessment. At times, the analysis is done on men's and women's sub‐samples separately in order to account for eventual differences among both populations. Thirdly, confirmatory factor was conducted, splitting the sample into two random halves: the generation sample and the validation sample. The first half served for the PPI scales purification. In this case, PPI was posited as the latent variable and the scale items were posited as the manifest ones. The second served to validate the PPI theory in a system's framework: PPI was posited as a latent dependent variable while other role orientations variables were posited as latent independent variables. Copyright © 2002 Henry Stewart Publications.     

潜变量交互效应分析方法

简要回顾了分析显变量交互效应的常用方法。详细讨论了目前分析潜变量交互效应的主要方法,包括用潜变量的因子得分做回归分析、分组线性结构方程模型分析、加入乘积项的结构方程模型分析和两步最小二乘回归分析,并比较和评价了这些方法的优缺点。最后归纳了潜变量交互效应分析方法的研究趋势,并介绍了新近进展(包括LMS方法和GAPI方法)。