Inductive inference or inductive behavior: Fisher and Neyman-Pearson approaches to statistical testing in psychological research (1940-1960)

The application of statistical testing in psychological research over the period of 1940-1960 is examined in order to address psychologists' reconciliation of the extant controversy between the Fisher and Neyman-Pearson approaches. Textbooks of psychological statistics and the psychological journal literature are reviewed to examine the presence of what Gigerenzer (1993) called a hybrid model of statistical testing. Such a model is present in the textbooks, although the mathematically incomplete character of this model precludes the appearance of a similarly hybridized approach to statistical testing in the research literature. The implications of this hybrid model for psychological research and the statistical testing controversy are discussed.     

The therapeutic alliance–A conceptual analysis

The role and function of the therapeutic alliance in psychotherapy has increasingly been the focus of clinicians' and researchers' interests over the last decade. Alliance concepts have, however, been criticized for lack of conceptual clarity. The paper presents a generic model as a heuristic means for clarifying the conceptual meaning of the therapeutic alliance. The model distinguishes between the personal relationship aspect, and the collaborative, task-related aspect of the alliance, with therapist, patient, and common contributions to each of these aspects. The model is compared to other alliance conceptualizations, and its implications for alliance theory and research are discussed. A content analysis of four widely used alliance scales in relation to the model shows the scales to represent conceptually different, yet overlapping constructs. It is argued that the componential nature of the therapeutic alliance will render difficult any interpretation of findings regarding the relationship between alliance and outcome in traditional process-outcome research. More complex research strategies guided by theory are called for, if the therapeutic alliance should remain a vital field of research.     

The ethics of social science research

ABSTRACT Ethical thinking about social science research is dominated by a biomedical model whose salient features are the assumption that only potential harms to subjects of research are relevant in the ethical evaluation of that research, and in the emphasis on securing informed consent in order to establish ethical probity. A number of counter-examples are considered to the assumption, a number of defences against these counter-examples are examined, and an alternative model is proposed for the ethical evaluation of social science research: a model which can cope with the systemic harms (harms other than those to participants as participants) which have been identified. This model is based on John Rawls's idea of original position reasoning and treats social science research as an institutional feature of the basic structure of society.     

Covariance structure analysis in experimental research: Comparing two word translation models

Covariance structure analysis is a statistical technique in which a theoretical model, or a covariance structure, is constructed, and the covariances predicted by the theoretical model are compared with those of the observed data. The adequacy of the model in reproducing the sample covariances is reflected by estimates of the parameters of the model and measures indicating the goodness of fit. Covariance structure analysis is frequently used for analyzing data obtained in nonexperimental or quasiexperimental research, but is seldom employed in experimental research. In this paper, the applicability of this technique in experimental research is discussed and illustrated by covariance structure analysis studies in which two models for word translation—the symmetrical model and the asymmetrical model—are described, refined, and contrasted.     

A context-dependent representation model for explaining text repetition effects

The purpose of this article is to review abstract and episodic models of text repetition effects, describe the research supporting these types of models, and propose a new model called thecontextdependent representation model, which can explain both abstract-like and episodic-like repetition effects. The basic assumptions of the model are that the surface form and textbase are represented in a context-independent manner, and a coherent situation model binds together the surface features and the textbase and leads to context-dependent representation. When the situation model is well developed, it limits repetition benefits to semantically or contextually similar texts. This produces contextdependent repetition effects, which are functionally similar to episodic repetition effects. When the situation model is not well developed or not task relevant, repetition benefits are not limited to contextually similar texts. This produces context-independent repetition effects, which are functionally similar to abstract repetition effects. The context-dependent representation model provides a theoretical basis for explaining past research, and it can serve as a guide for future research aimed at understanding text repetition effects as well as text comprehension and memory.     

Sequential sampling designs for the two-parameter item response theory model

In optimal design research, designs are optimized with respect to some statistical criterion under a certain model for the data. The ideas from optimal design research have spread into various fields of research, and recently have been adopted in test theory and applied to item response theory (IRT) models. In this paper a generalized variance criterion is used for sequential sampling in the two-parameter IRT model. Some general principles are offered to enable a researcher to select the best sampling design for the efficient estimation of item parameters.     

Self-talk: Review and sport-specific model

Self-talk is a key component of the sport psychology canon. Although self-talk has been widely endorsed by athletes and coaches as a performance enhancement strategy, a comprehensive model of self-talk in sport that might be used to guide systematic research has yet to be developed. This purpose of this paper is to: (a) review theory and research related to self-talk in sport; and (b) present a sport-specific model that builds upon existing theory and research, and addresses key questions related to self-talk. The paper begins with a definition of self-talk, developed with consideration of the discursive nature of inner speech and dual process theories. Extant self-talk models related to self-talk in sport are reviewed and serve as a foundation for a sport-specific model of self-talk. Components of the model (i.e., self-talk, System 1, System 2, behaviour, contextual factors, personal factors) are presented, the reciprocal relationships among model components are explored, and implications of the sport-specific model of self-talk are discussed.     

The Neural Basis of Implicit Attitudes

ABSTRACT— Evidence that human preferences, beliefs, and behavior are influenced by sources that are outside the reach of conscious awareness, control, intention, and self-reflection is incontrovertible. Recent advances in neuroscience have enabled researchers to investigate the neural basis of these implicit attitudes, particularly attitudes involving social groups. From this research, a model with three identified neural components related to the automatic activation and regulation of implicit attitudes is beginning to emerge. The amygdala is implicated in the automatic evaluation of socially relevant stimuli, while the anterior cingulate and dorsolateral prefrontal cortices are involved in the detection and regulation, respectively, of implicit attitudes. Further support for this model comes from the inclusion of these regions in current models concerning the cognitive regulation of emotion and the detection of conflict. The identification of a putative neural substrate for implicit attitudes has had a direct impact on psychological research into their nature and operational characteristics. We discuss how this emerging neural model has influenced current research on implicit attitudes and describe the importance of such models for directing future research.     

The Importance of Parental Attributions in Families of Children with Attention-Deficit/Hyperactivity and Disruptive Behavior Disorders

Presents a social-cognitive model outlining the role of parental attributions for child behavior in parent–child interactions. Examples of studies providing evidence for the basic model are presented, with particular reference to applications of the model in families of children with Attention-Deficit/Hyperactivity Disorder (ADHD) and/or oppositional defiant/conduct disordered behavior. Parent or child factors that may moderate the operation of links within the model are suggested, and evidence of such moderator effects is presented. The conceptualization and measurement of parental attributions also are discussed. The limitations of the model and existing evidence, as well as recommendations for future research in this area are presented throughout the paper. The paper concludes with a summary of the clinical implications of the model and research on parental attributions with regards to improving interventions for families of children with attentional and disruptive behavior problems.     

Yes,but how?: Development and evaluation of careers education in higher education by careers advisers

Contrasting approaches to the evaluation of careers education activities are outlined, one based on the organisational needs of careers services (an 'accountability' model), the other based on individual needs of careers advisers (a 'developmental' model). The case is considered for adopting educational research methods developed from the ethnographic research tradition, such as action research, to help careers advisers meet the challenges facing them in the development, delivery and evaluation of careers education in higher education. Practical experience is cited, together with some positive outcomes that have arisen from undertaking fieldwork research. The difficulties and dilemmas in carrying out such research are presented.     

The Wheel of Wellness Counseling for Wellness: A Holistic Model for Treatment Planning

A holistic model of wellness and prevention over the life span was presented by T. J. Sweeney and J. M. Witmer (1991) and J. M. Witmer and T. J. Sweeney (1992). Recent advances in research and theory related to wellness support modifications of the original model. The foundation for the model is examined, research related to each component is explored, and implications for use of the model as a basis for counseling interventions are presented.     

Uniqueness of three-mode factor models with sparse cores: The 3 × 3 × 3 case

Three-Mode Factor Analysis (3MFA) and PARAFAC are methods to describe three-way data. Both methods employ models with components for the three modes of a three-way array; the 3MFA model also uses a three-way core array for linking all components to each other. The use of the core array makes the 3MFA model more general than the PARAFAC model (thus allowing a better fit), but also more complicated. Moreover, in the 3MFA model the components are not uniquely determined, and it seems hard to choose among all possible solutions. A particularly interesting feature of the PARAFAC model is that it does give unique components. The present paper introduces a class of 3MFA models in between 3MFA and PARAFAC that share the good properties of the 3MFA model and the PARAFAC model: They fit (almost) as well as the 3MFA model, they are relatively simple and they have the same uniqueness properties as the PARAFAC model.This research has been made possible by a fellowship from the Royal Netherlands Academy of Arts and Sciences to the first author. Part of this research has been presented at the first conference on ThRee-way methods In Chemistry (TRIC), a meeting of Psychometrics and Chemometrics, Epe, The Netherlands, August 1993. The authors are obliged to Age Smilde for stimulating this research, and two anonymous reviewers for many helpful suggestions.     

跨期选择中的反常现象及其心理机制

时间折现是跨期选择研究的核心问题。指数折现效用模型（DU模型）是描述时间折现现象的基本模型。跨期选择的实验研究中发现的大量违背DU模型的反常现象表明,DU模型并不能很好地解释人们在跨期选择中的真实行为。文章从时间知觉、建构水平、参照点和价值函数、情绪激活、情绪麻木、期待效用等角度探讨了造成各种反常现象的心理机制,并提出了值得进一步研究的方向和问题。     

Toward a biopsychosocial model for 21st-century genetics

Advances in genomic research are increasingly identifying genetic components in major health and mental health disorders. This article presents a Family System Genetic Illness model to address the psychosocial challenges of genomic conditions for patients and their families, and to help organize this complex biopsychosocial landscape for clinical practice and research. This model clusters genomic disorders based on key characteristics that define types of disorders with similar patterns of psychosocial demands over time. Key disease variables include the likelihood of developing a disorder based on specific genetic mutations, overall clinical severity, timing of clinical onset in the life cycle, and whether effective treatment interventions exist to alter disease onset and/or progression. For disorders in which carrier, predictive, or presymptomatic testing is available, core nonsymptomatic time phases with salient developmental challenges are described pre- and post-testing, including a long-term adaptation phase. The FSGI model builds on Rolland's Family System Illness model, which identifies psychosocial types and phases of chronic disorders after clinical onset. The FSGI model is designed to be flexible and responsive to future discoveries in genomic research. Its utility is discussed for research, preventive screening, family assessment, treatment planning, and service delivery in a wide range of healthcare settings.     

A CRITIQUE OF LEADER MATCH AND ITS IMPLICATIONS FOR LEADERSHIP RESEARCH

It is argued that Fiedler and Mahar's (1979a) conclusion that Leader Match is a promising method for improving leadership effectiveness is unjustified. The core assumption of Leader Match is that congruence between leaders' LPC score and their situations accounts for a major proportion of the variance in group performance. This assumption does not seem sustainable in view of what we currently know about the determinants of group performance, and furthermore it has not been demonstrated by research using the Contingency model. Contingency model research has shown only that leadership style may affect productivity when a number of other structural/situational variables are controlled for. A brief review of empirical research using Leader Match indicates that evidence for the model is unconvincing because of the serious problem of identifying appropriate criteria of leader effectiveness and the prevalence of a number of alternative explanations for the results of many of the studies. The implications of this critique for leadership research in general are then considered.     

Assessing automaticity

We propose two principles that should be followed in the study of automaticity for cognitive processes. Both follow from the general rule that experimental research should be guided by a model of the task in question, frequently a process model. The first is that the concept of automaticity is best applied to component processes of complex behaviors rather than to behaviors as a whole. The second is that the criteria chosen for the identification of automaticity should be motivated by the processes in question. Examples are discussed of research programs that are relevant to each principle.     

The career states system model: A new approach to analysing careers

The changing careers of research scientists under the influence of contemporary pressures are examined, drawing on original case-study research covering four settings: higher education institutions, industrial R&D, government research laboratories, and research institutes. Moving away from the traditional linear model of career progression, a dynamic model of career states is introduced. This acknowledges that investment of individual and organisational energy in careers will ebb and flow under the influence of a range of contextual and personal variables. It is proposed that the career states system model can be used as an aid to careers guidance for both men and women. Some of the issues to which scientists must be alert in order to manage their careers effectively are addressed     

Probabilistic multidimensional scaling: Complete and incomplete data

Simple procedures are described for obtaining maximum likelihood estimates of the location and uncertainty parameters of the Hefner model. This model is a probabilistic, multidimensional scaling model, which assigns a multivariate normal distribution to each stimulus point. It is shown that for such a model, standard nonmetric and metric algorithms are not appropriate. A procedure is also described for constructing incomplete data sets, by taking into consideration the degree of familiarity the subject has for each stimulus. Maximum likelihood estimates are developed both for complete and incomplete data sets. This research was supported by National Science Grant No. SOC76-20517. The first author would especially like to express his gratitude to the Netherlands Institute for Advanced Study for its very substantial help with this research.     

Policy evaluation: Design and utilization

In the 1960s when evaluation research came into fashion in the US, the assumption was that it would be used by public policymakers in an instrumental way for purposes of problem solving. This entailed a linear, knowledge-driven model for research utilization in which a direct relationship exists between knowing and doing (i.e., knowledge leads to action). The model combined the “rational” paradigm of organizational theory and the “scientific” paradigm of positivist philosophy of science into a consistent model of how evaluation research should be conducted and would be utilized. Both with respect to its normative and its empirical dimensions, original evaluation research model failed. Today evaluation research and its utilization are seen in quite a different perspective. However, though a parallel paradigm revolution or shift has taken place both with respect to the organization theory of evaluation research and its methodological basis, no new comprehensive and coherent evaluation research model has emerged to replace the original linear one. Erik Albaek is an associate professor of public administration at the University of Aarhus, Denmark. One of his main research areas is the utilization of social science in public policymaking.