THEORY TESTING: COMBINING PSYCHOMETRIC META-ANALYSIS AND STRUCTURAL EQUATIONS MODELING

This paper presents an overview of a useful approach for theory testing in the social sciences that combines the principles of psychometric meta-analysis and structural equations modeling. In this approach to theory testing, the estimated true score correlations between the constructs of interest are established through the application of meta-analysis (Hunter & Schmidt, 1990), and structural equations modeling is then applied to the matrix of estimated true score correlations. The potential advantages and limitations of this approach are presented. The approach enables researchers to test complex theories involving several constructs that cannot all be measured in a single study. Decision points are identified, the options available to a researcher are enumerated, and the potential problems as well as the prospects of each are discussed.     

Evidence-Based Psychotherapy and Counselling in the UK: Critique and Alternatives

Developments in empirically supported therapy or evidence-based practice in the UK are outlined and critically examined. Perceived advantages and disadvantages are set out, with a commentary. It is asserted that the evidence-based ethos is seriously flawed and that psychotherapy is essentially a faith-based craft, not a thoroughly researchable scientific enterprise. Some alternatives to evidence-based practice are briefly outlined, before turning to an exploration of the wider context of anthropathology in which therapy takes place and against which it must acknowledge its limitations. Broad-brush conclusions are drawn.     

贝叶斯结构方程模型及其研究现状

在心理学研究中结构方程模型(Structural Equation Modeling, SEM)被广泛用于检验潜变量间的因果效应, 其估计方法有频率学方法(如, 极大似然估计)和贝叶斯方法两类。近年来由于贝叶斯统计的流行及其在结构方程建模中易于处理小样本、缺失数据及复杂模型等方面的优势, 贝叶斯结构方程模型发展迅速, 但其在国内心理学领域的应用不足。主要介绍了贝叶斯结构方程模型的方法基础和优良特性, 及几类常用的贝叶斯结构方程模型及其应用现状, 旨在为应用研究者介绍新的研究工具。     

Multilevel SEM Strategies for Evaluating Mediation in Three-Level Data

Strategies for modeling mediation effects in multilevel data have proliferated over the past decade, keeping pace with the demands of applied research. Approaches for testing mediation hypotheses with 2-level clustered data were first proposed using multilevel modeling (MLM) and subsequently using multilevel structural equation modeling (MSEM) to overcome several limitations of MLM. Because 3-level clustered data are becoming increasingly common, it is necessary to develop methods to assess mediation in such data. Whereas MLM easily accommodates 3-level data, MSEM does not. However, it is possible to specify and estimate some 3-level mediation models using both single- and multilevel SEM. Three new alternative approaches are proposed for fitting 3-level mediation models using single- and multilevel SEM, and each method is demonstrated with simulated data. Discussion focuses on the advantages and disadvantages of these approaches as well as directions for future research.     

Modelling and describing human judgement processes: The multiattribute evaluation case

In this article we describe research methods that are used for the study of individual multiattribute evaluation processes. First we explain that a multiattribute evaluation problem involves the evaluation of a set of alternatives, described by their values on a number of alternatives. We discuss a number of evaluation strategies that may be applied to arrive at a conclusion about the attractiveness or suitability of the alternatives, and next introduce two main research paradigms in this area, structural modelling and process tracing. We argue that the techniques developed within these paradigms all have their advantages and disadvantages, and conclude that the most promising technique to detect the true nature of the evaluation strategy used by a judge seems to be the analysis of verbal protocols. At the same time we think it is wise not to rely on just one technique, but to use a multimethod approach to the study of multiattribute evaluation processes whenever that is possible.     

Supervision of Beginning and Advanced Graduate Students of Counseling and Psychotherapy

The purpose of this article is to present a comprehensive picture of supervision for the beginning and the advanced graduate student of counseling and psychotherapy. Even though early-level supervision is generally characterized by high levels of structure, a didactic orientation, and a skill focus, it is argued that supervision should encourage continuous reflection at all levels of expertise. For the beginning student, the impact of performance anxiety and the advantages and disadvantages of modeling are examined. For advanced students, tension in supervision is considered and the rationale for an explicit contract is explained. For both levels, the quality of the supervisory relationship is considered critical for effective supervision,     

Hierarchical modeling of sequential behavioral data: an empirical Bayesian approach

The authors review the common methods for measuring strength of contingency between 2 behaviors in a behavioral sequence, the binomial z score and the adjusted cell residual, and point out a number of limitations of these approaches. They present a new approach using log odds ratios and empirical Bayes estimation in the context of hierarchical modeling, an approach not constrained by these limitations. A series of hierarchical models is presented to test the stationarity of behavioral sequences, the homogeneity of sequences across a sample of episodes, and whether covariates can account for variation in sequences across the sample. These models are applied to observational data taken from a study of the behavioral interactions of 254 couples to illustrate their use.     

自然语言处理中的哲学问题

分析了哲学上的理性主义和经验主义及其在自然语言处理的研究中的影响,对比了自然语言处理中基于规则的理性主义方法和基于统计的经验主义方法的优点和缺点,主张把这两种方法结合起来以推动自然处理研究的发展。本文还分析了哲学中知识本体的概念发展到知识本体工程的过程,说明了哲学对于自然语言处理的深刻影响。     

An Intervention Strategy to Managing Diversity: Discerning Conventions

The article presents a strategy to minimize disadvantages and maximize advantages of diversity in multinational groups. Members of multinational groups require the skill to recognize cultural differences between group members if they want to deal with intercultural misunderstandings and realize high quality and originality in work. They must discern differences in behavioural standards which may cause mis- and non-understandings during group discussions, and they must determine different ways of defining problems and solving them. Different theoretical assumptions are made concerning the conceptualization of cultural differences as conventions. In multinational groups communication and task conventions can be distinguished. The different communication conventions cause interpersonal misunderstandings. Participants of a training programme learn to use an algorithm for discerning cultural differences. It includes detecting mis- and non-understandings, making conventions explicit, and negotiating conventions. The aim of making task conventions explicit is to obtain a larger number of alternatives to interpret a problem, to solve it, and to evaluate it. The algorithm of discerning conventions is learned with the technique of leading questions Fisher, 1980; Vygotsky, 1978, which is demonstrated to a group of participants which work together on a real task.     

Preventing adolescent smoking: what have we learned about treatment construct validity?

In recent years, numerous programs introduced to prevent adolescent smoking have demonstrated some success. This paper reviews the treatment construct validity of such programs; that is, we seek to determine how and why programs reduce adolescent smoking. The review leads to the conclusion that little is presently known about the construct validity of successful programs, a problem that results primarily from the neglect of process assessment and analyses. The advantages and disadvantages of several future research approaches are discussed, including: (a) utilization of process measures within large scale treatment/no-treatment designs, (b) small-scale studies to test the effects of prevention components on process measures (e.g., attitudes, intentions to smoke), and (c) combinations of these two approaches.     

五因素取向人格测验的发展与比较

五因素取向人格测验是目前评价个体人格特质时被广泛应用的一大类重要人格测验工具。该类测验数量众多, 长度各异, 形式多样。根据其题目呈现的特点, 可将现有的30余种五因素取向人格测验分为自陈式、核检表式、非言语式三类。在不同研究和实践情境下, 各个五因素取向人格测验具有各自独特的优劣势, 信效度的变化都不同。在实际应用中, 应根据不同研究需求区别使用, 并注意测量目的、施测次数、测验长度、被试特点、文化差异性等对测验结果的影响。当前, 五因素取向人格测验的开发正向着简明、全面、跨文化方向发展。     

Decision analysis: An approach for multidisciplinary teams in planning special service programs

A decision analytic approach for use by multidisciplinary teams (MDTs) in planning special service programs is described, and formative evaluation information on its application by MDTs in planning individualized education programs (IEPs) is presented. Decision analysis is applied following initial determination of program goals and objectives. In using the approach, an MDT engages in a six-step process: (a) delineation of program alternatives, (b) determination of program outcomes, (c) assessment of probabilities, (d) assessment of utilities, (e) determination of overall program values, and (f) selection of the program to be developed. Utilization of the approach allows a complex program planning situation to be disaggregated into its essential elements, with discussion of program alternatives occurring relative to specific decision criteria. Strengths and limitations of the approach also are discussed, and future directions for research are briefly noted.     

A Market Response Model for Sales Management Decision Making

Abstract

Sales managers are faced with a variety of decisions that require the evaluation of the probable response of the market to feasible decision alternatives. A conceptual model of market response is presented to offer management a framework for understanding the market response relationships in their selling situation and to provide an operational approach for evaluating the potential effect of decision alternatives. An empirical test illustrates the usefulness of the model and suggests several improvements in market response modeling. Future research directions are identified and important management implications are discussed.     

The Georgia family Q-sort: an observational measure of family functioning

The development of a new observational measure of family functioning using a Q-sort methodology is described. The Q-sort is one way of obtaining observer measures of family that complements both microcoding and global ratings of family processes. Evidence for construct validity is presented along with a discussion of the advantages and disadvantages of the Q-sort approach to family observation.     

An Interactive Approach for Multicriteria Decision Making Using a Tchebycheff Utility Function Approximation

Multicriteria decision making (MCDM) can provide an efficient mean for considering various and conflicting objectives to reveal the alternative that maximizes the decision maker's (DM) utility. In this paper, we propose a new interactive MCDM method for implicit alternatives to help a DM obtain a most preferred solution. We employ a Tchebycheff function to generate weights for objectives consistent with the DM's responses to pairwise comparisons between alternatives and present a mixed integer linear programming formulation to generate these weights. Thus, we approximate the DM's utility function by a Tchebycheff function and generate weights consistent with the DM's responses. We test our approach with different true utility functions on various sized multiple criteria linear programming problems. The computational results show that even with non‐Tchebycheff true utility functions, our method can generate alternatives very close to the optimal solution with few questions. The comparison of our results with other methods reveals its advantages. Copyright © 2013 John Wiley & Sons, Ltd.     

Structural equation modeling of approval voting data

The method of approval voting is a commonly used voting procedure in which each judge selects a subset of the alternatives. By postulating that the random utilities associated with the choice options in approval voting elections follow a multivariate normal distribution under the Thurstonian framework, Regenwetter, Ho, and Tsetlin (2007) attempted to integrate the normative theories and individual variabilities in modeling social behavior. However, their approach is limited to only three alternatives, due to computational intractability as the number of alternatives increases. In this article, we reparameterize extensions of their models under the structural equation modeling framework and propose the use of limited information methods for estimating model parameters. As a result, we are able to extend their previous approach to the analysis of approval voting data with any number of alternatives. Two applications are presented to illustrate the usefulness of such an approach.     

Departing from Classical Logic: A Logical Analysis of Personal Construct Theory

This article draws a parallel between personal construct theory and intuitionistic logic i, in order to account for Kelly's claim to have departed from classical logic. Assuming that different theoretical paradigms correspond to different logical languages, it is argued that the constructivist paradigm is linked to intuitionism. Similarities between some key syntactic and semantic features of i logic and the underlying logic of Kelly's theory are made explicit. The strengths and limitations of such an approach are discussed in light of issues emerging from clinical observation and from the philosophy of science.     

A Boundary Mixture Approach to Violations of Conditional Independence

Conditional independence is a fundamental principle in latent variable modeling and item response theory. Violations of this principle, commonly known as local item dependencies, are put in a test information perspective, and sharp bounds on these violations are defined. A modeling approach is proposed that makes use of a mixture representation of these boundaries to account for the local dependence problem by finding a balance between independence on the one side and absolute dependence on the other side. In contrast to alternative approaches, the nature of the proposed boundary mixture model does not necessitate a change in formulation of the typical item characteristic curves used in item response theory. This has attractive interpretational advantages and may be useful for general test construction purposes.     

Rethinking the focusing effect in decision-making

According to Legrenzi et al. [Cognition 49 (1993) 37], in making a choice people consider only the alternatives explicitly represented in their mental model of the decision situation. Their idea has found empirical support in the "focusing effect": Individuals focus on the alternatives explicitly stated in the problem context, and do not take into account other possibilities. In their original study, Legrenzi and colleagues considered only one factor to account for the explicit representation of an alternative--i.e., its explicit verbal formulation in the decision problem. Recent theories of relevance and information gain can help articulate their original idea, suggesting that individuals explicitly represent relevant alternatives, whether or not they are explicitly formulated in the decision problem. In three experiments we first replicated Legrenzi et al.'s original experiment, and then showed that the explicit verbal mention of an alternative is neither sufficient nor necessary to focus on it. The results suggest that individuals are able to consider relevant alternatives, even when they are not made explicit in the verbal formulation of a decision problem.     

Counterfactuals,Probabilities, and Information: Response to Critics

In earlier work we proposed an account of information grounded in counterfactual conditionals rather than probabilities, and argued that it might serve philosophical needs that more familiar probabilistic alternatives do not. Demir [2008] and Scarantino [2008] criticize the counterfactual approach by contending that its alleged advantages are illusory and that it fails to secure attractive desiderata. In this paper we defend the counterfactual account from these criticisms, and suggest that it remains a useful account of information.