Classical and Modern Methods of Psychological Scale Construction

Scale construction is a growth enterprise in the psychological literature. Unfortunately, many measures promise much but are severely limited by the inadequacies of their conceptualization and execution. In this paper, a model for developing psychological scales is presented that is rooted in the traditions of construct validity and classical test theory but informed by modern psychometric methods. Construct validity is conceptualized as a guiding principle in each of three phases of scale development, focused on (i) construct conceptualization and development of the initial item pool, (ii) item selection and structural validity, and (iii) assessment of external validity vis‐à‐vis other measures and relevant nontest criteria.     

Ethics in Case Conceptualization and Diagnosis: Incorporating a Medical Model Into the Developmental Counseling Tradition

In this literature review, the author focuses on several ethical considerations in case conceptualization and diagnosis, including diagnostic training and competence. Meeting the American Counseling Association's (1995) ethical standard for diagnostic training has several ethical implications for counselors, counselor educators, and supervisors. For counselors who might struggle with how to meet their ethical responsibilities in diagnosis but who want to remain true to their developmental counseling emphases, the author discusses some of their concerns, the implications of and possible approaches to this aspect of their work. Conclusion Yalom (2002) asked a poignant question of counselors in his book, The Gift of Therapy: “If you were in personal psychotherapy or are considering it, what DSM‐IV diagnosis do you think your therapist could justifiably use to describe someone as complicated as you?” (p. 5). This question and continued dialogue about the ethics and implications of diagnosis are essential aspects of diagnostic training. Yalom's poignant and deeply personal question seems especially appropriate for increasing a counselor's empathy toward the client's sensitivity and vulnerability during the diagnostic process. Counselor educators might ask how one remains true to a developmental model of counseling while adhering to the ethical and accreditation standards of teaching the DSM's medical model of diagnosis. Counselors may also question how to use diagnosis ethically and empathically. Seligman (1999) recommended that clinicians view the DSM as one of many important sources of information about a person. Furthermore, counselors should seek to incorporate diagnostic information into a holistic context, recognizing that a diagnosis does not reflect the totality of the client. Some counselor educators have advised students to integrate the DSM model into their work with clients rather than abandoning their developmental roots (Waldo et al., 1993). Some counselors may not actually put their diagnoses in writing; Seligman believed, however, that thinking diagnostically may assist counselors in determining the best approaches to help clients and to help clients help themselves. This clinical and ethical debate about how, and in fact, whether, to integrate the medical model of the DSM and the developmental origins and distinctiveness of counseling continues. However, the CACREP (2001) standards, managed care systems, and other forces have pushed counseling professionals toward a medical model by mandating counselor knowledge and use of the DSM. Whatever a counselor's stance and behavior on client assessment and diagnosis may be, the literature presented in this review and discussion seems to suggest a need for heightened sensitivity to, preparation for, and accuracy in all facets of client assessment, especially diagnosis.     

A Theoretical Model of Psychometric Effects of Faking on Assessment Procedures: Empirical findings and implications for personality at work

This article proposes a theoretical model for explaining the psychometric effects of faking on assessment procedures (e.g., biodata, interviews, assessment center, personality inventories, and self‐reported measures). The model hypothesizes that faking is a phenomenon of homogenization of scores, consisting of a double mechanism that increases the mean, on one hand, and decreases the standard deviation of distributions of scores, on the other. Subsequently, this affects the covariance, reliability, and validity of assessment procedures negatively. The model predicts that a mean ratio (faking ratio) greater than 1 and a coefficient of homogeneity u smaller than 1 characterizes faking. Meta‐analysis was used to test several predictions of the theoretical model in the case of the personality measures. A database of 46 independent studies was created. All the studies used the NEO‐PI‐R for assessing the Big Five and their facets. The general pattern of data fully supported the model predictions. Implications for personnel assessment and, particularly, for personality assessment are discussed.     

Reassessing the Prospects for a Growing Block Model of the Universe

Although C. D. Broad’s notion of Becoming has received a fair amount of attention in the philosophy‐of‐time literature, there are no serious attempts to show how to replace the standard ‘block’ spacetime models by models that are more congenial to Broad’s idea that the sum total of existence is continuously increased by Becoming or the coming into existence of events. In the Newtonian setting Broad‐type models can be constructed in a cheating fashion by starting with a Newtonian block model, carving chips off the block, and assembling the chips in an appropriately structured way. However, attempts to construct Broad‐type models in a non‐cheating fashion reveal a number of problematic aspects of Becoming that have not received adequate attention in the literature. The paper then turns to an assessment of the problem and prospects of adapting Becoming models to relativistic spacetimes. The results of the assessment differ in both minor and major ways from the ones in the extant literature. Finally, the paper describes how the causal set approach to quantum gravity promises to provide a mechanism for realizing Becoming, though the form of Becoming that emerges may not conform to any of the versions discussed in the philosophical literature.     

Diagnostic Classification Models: Recent Developments,Practical Issues,and Prospects

More than three decades after their introduction, diagnostic classification models (DCM) do not seem to have been implemented in educational systems for the purposes they were devised. Most DCM research is either methodological for model development and refinement or retrofitting to existing nondiagnostic tests and, in the latter case, basically for model demonstration or constructs identification. DCMs have rarely been used to develop diagnostic assessment right from the start with the purpose of identifying individuals’ strengths and weaknesses (referred to as true applications in this study). In this article, we give an introduction to DCMs and their latest developments along with guidelines on how to proceed to employ DCMs to develop a diagnostic test or retrofit to a nondiagnostic assessment. Finally, we enumerate the reasons why we believe DCMs have not become fully operational in educational systems and suggest some advice to make their advent smooth and quick.     

Capturing Changes in Social Identities over Time and How They Become Part of the Self‐concept

How people come to develop a feeling of belongingness to a new social group and orchestrate this new group membership with pre‐existing identities within the self‐concept is a theoretically and socially relevant phenomenon that has received increased scientific attention in recent years. Models from different fields of psychology – including social, cultural, and organizational psychology – have proposed factors involved in this change and integration process along with consequences of this phenomenon. We present overview of this literature, including a recent model on the process of identity integration: the cognitive‐developmental model of social identity integration. Specifically, this model highlights the fundamental cognitive and developmental processes involved as people develop new social identifications and integrate their different identities into their overall self‐concept. We then present recent empirical evidence testing the model. Finally, we propose conceptual, methodological, and statistical avenues for future research on identity change and integration.     

Post‐modernism and social evolution: An inquiry

Post‐Modernism, according to critics and philosophers, is a linguistic theory emphasizing self‐referentiality. Practicing novelists define it functionally as a reflexive activity in which messages are folded back upon their media of communication. Applied to the symbol systems recording information for guiding the behaviors that structure societies, termed cognitive maps,” self‐referentiality and reflexivity combine in a co‐evolutionary model that offers hints about the creation of societal information. Although left‐ and right‐wing ideologists lament the Post‐Modernist abandonment of ultimate “reality,” this paper argues that, to preserve adaptive flexibility, extremely complex societies need to map themselves and their environments following a Post‐Modernist model.     

Working in Indigenous Contexts: Self‐Reported Experiences of Non‐Indigenous Australian Psychologists

Despite assertions in the literature that psychologists adopt culturally inappropriate strategies for working with Indigenous clients, there is little empirical evidence about this. The aim of this study was to document the self‐reported experiences of non‐Indigenous psychologists working with Indigenous clients, the factors that they felt constrain these interactions, and the clinical, assessment and communication strategies they perceived as effective in Indigenous contexts. Structured interviews were held with 23 psychologists, 18 females and five males, with age groups ranging from 20–30 to 50+. Thematic analysis of the data revealed that participants experienced contradictions between the typical Western white psychologists' ways of interacting with clients, which they had been taught and the typical ways in which relationships are structured in Indigenous communities. The results suggest that the Western model of psychological training does not work very well in Indigenous contexts, and that psychologists working in Indigenous contexts have to work out their own methods on a trial‐and‐error basis. This points to the need for more systematic cultural competence training. However, there is a lack of research into the effectiveness of psychological intervention from the viewpoints of Indigenous clients themselves.     

Optimal selection of E‐learning websites using multiattribute decision‐making approaches

A computational quantitative model based on weighted Euclidean distance‐based approximation and complex proportional assessment has been developed for the evaluation, selection, and ranking of various E‐learning websites in ascending or descending order based on their Euclidean distance value from the optimal website. The E‐learning website with rank 1 is considered the optimal selection on the particular dataset under consideration. The problem of the E‐learning website Selection, Evaluation and Ranking is modeled as a multiattribute decision‐making problem in which various interrelated attributes collectively termed as ranking criteria are identified to make the evaluation of available alternatives. In this research, 5 most popular E‐learning websites related to the C programming language for the software development have been considered to show the utility of developed model. Further, the concept of methodology validation strengthens this research by comparing the obtained results with the existing multiattribute decision‐making approach as analytical hierarchy process method.     

Systemic-motivational therapy for substance abuse disorders: an integrative model

Although recent reviews of the literature on families and substance misuse offer compelling evidence that inclusion of families significantly improves treatment engagement, retention and outcome, family therapy remains peripheral in most substance abuse treatment programmes. Furthermore, many of the treatment approaches that have been included under the term 'family therapy' continue to focus on the substance abuser as the sole target of treatment. Still conspicuously absent are treatment models based on family systems approaches, with outcomes targeted at non-abusing family members as well. This article presents an overview of one such family-focused substance abuse treatment model – systemic-motivational therapy – that combines a family systems approach with techniques derived from motivational interviewing, but this time is applied to work with the family as a unit. The background for the development of the model will be described, as well as the assessment/consultation, family-level action plan, and aftercare/relapse prevention phases of the treatment approach.     

An external review of the conclusions regarding the peak direct training module

Promoting the Emergence of Advanced Knowledge—Direct Training Module (PEAK‐DTM) is a commercially available assessment and curriculum for individuals whose language skills are not developmentally adequate. In their review of PEAK‐DTM, Reed and Luiselli (2016) analyzed the extant literature on PEAK‐DTM and concluded that it has a sound and growing body of empirical support on its efficacy, usability, and psychometric properties. Similar conclusions are mirrored in the PEAK‐DTM literature and promotional material. I review these conclusions and contend that many overrate the research that backs them. Suggestions for a more rigorous research agenda on PEAK‐DTM and its related modules are provided.     

Personal versus interpersonal contributions to depressive symptoms among Hong Kong adolescents

Cross‐cultural theory proposes that an essential distinction between cultures lies in the extent to which individual members see themselves as either independent agents preferentially valuing agency and efficacy, or as embedded within a social context preferentially valuing interpersonal relationships. A nonreferred sample of 605 boys and 503 girls from Hong Kong provided information regarding: (1) perceptions of their personal self‐efficacy or beliefs regarding their own ability to master challenges they face; (2) the degree of harmony in their interpersonal (peer and family) relationships; and (3) depressive symptoms as an assessment of their mood. Cognitive theories of emotions propose that both the individual's assessment of his/her self‐efficacy and of his/her relationships influence mood. Hypotheses, based on cross‐cultural theory, were that in this collective culture, interpersonal evaluations would predict more of the variance in mood than would personal self‐efficacy. Contrary to Western sex‐differences literature, it was predicted that the effect of interpersonal harmony on mood would be equally pronounced for girls and for boys. Structural equation modelling was used to test causal models. Consistent with findings from the West, evaluations of personal self‐efficacy as well as interpersonal relationship harmony were significantly associated with depressed mood. Consistent with cultural theory, interpersonal relationship harmony was more strongly associated with mood than was personal self‐efficacy for the entire sample of adolescents. In contrast to findings of sex differences in the salience of relationships in the West, the prediction of interpersonal relationships to mood was equal for boys and girls in Hong Kong. This preliminary study extends models of cognitive concomitants of mood disruption to a non‐Western culture, and provides a framework to understand relative contnbutors to mood in adolescence. The findings tentatively suggest that treatment for depressive mood in Chinese populations should prioritize enhancement of the perceived quality of interpersonal relationships over increasing a sense of mastery.     

Moral Foundations Theory and Its Implications for Counseling

Moral foundations theory has recently emerged from the field of social psychology as a means for understanding cultural, political, and religious differences between individuals and groups. The authors review the moral foundations theory literature to help counselors in understanding the roots of their clients' and their own moral belief systems and how these systems contribute to decision-making pertaining to morally laden topics. Lastly, the authors present a model for self-awareness around moral issues along with a fictional case study intended to illustrate the use of the model.     

The System‐Justifying Function of Gratitude Norms

We propose that gratitude norms function to motivate people to express system‐justifying beliefs and attitudes. When people feel grateful for the benefits they receive from sociopolitical institutions, they may feel compelled to express their appreciation by self‐censoring any grievances they may have about the functioning of their system. We review theory and research on the psychology of gratitude and integrate it with theory and research on the system‐justification motive. We illustrate how new insights into various effects in the literature on ideology and system justification might be gained by considering how the expression of system‐justifying opinions might function as an expression of gratitude toward one's system. We speculate that this system‐justifying function of gratitude is a consequence of social norms that overgeneralize the domain of gratitude from the context of interpersonal relations between peers to the context of relations with the larger, impersonal systems that govern people's lives.     

Measuring logistics performance of OECD countries via fuzzy linear regression

In logistics, performance measurement has been considered as a key competency to acquire world class performance. In light of this, we presented a robust methodology to establish an analysis framework for measuring logistics performance. The proposed hybrid methodology is a combination of criteria importance through intercritera correlation (CRITIC), simple additive weighting (SAW), and Peters' fuzzy regression methods. To the best of our knowledge, country‐based logistics performance is seldom studied in the literature. Therefore, we measured the logistics performance of Organization for Economic Cooperation and Development (OECD) countries using the devised model based on the data of Logistics Performance Index 2014 provided by the World Bank. The introduced methodology, which is suitable to model imprecise relationships among system parameters, appears to be a practical alternative approach for the assessment of logistics performance. It should be noted that the evaluation framework presented in this paper is not confined to performance measurement case and can also be exploited in addressing other multiple criteria decision‐making problems incorporating uncertainty.     

Mixed Picture of Readiness for Adoption of Evidence-Based Prevention Programs in Communities: Exploratory Surveys of State Program Delivery Systems

An emerging literature highlights the potential for broader dissemination of evidence‐based prevention programs in communities through existing state systems, such as the land grant university Extension outreach system and departments of public education and health (DOE–DPH). This exploratory study entailed surveying representatives of the national Extension system and DOE–DPH, to evaluate dissemination readiness factors, as part of a larger project on an evidence‐based program delivery model called PROSPER. In addition to assessing systems’ readiness factors, differences among US regions and comparative levels of readiness between state systems were evaluated. The Extension web‐based survey sample N was 958 and the DOE–DPH telephone survey N was 338, with response rates of 23 and 79 %, respectively. Extension survey results suggested only a moderate level of overall readiness nationally, with relatively higher perceived need for collaborative efforts and relatively lower perceived resource availability. There were significant regional differences on all factors, generally favoring the Northeast. Results from DOE–DPH surveys showed significantly higher levels for all readiness factors, compared with Extension systems. Overall, the findings present a mixed picture. Although there were clear challenges related to measuring readiness in complex systems, addressing currently limited dissemination resources, and devising strategies for optimizing readiness, all systems showed some readiness‐related strengths.     

The Role of a State‐Level Prevention Support System in Promoting High‐Quality Implementation and Sustainability of Evidence‐Based Programs

Although numerous evidence‐based programs (EBPs) have been proven effective in research trials and are being widely promoted through federal, state, and philanthropic dollars, few have been “scaled up” in a manner likely to have a measurable impact on today's critical social problems. The Interactive Systems Framework for Dissemination and Implementation (ISF) explicates three systems that are critical in addressing the barriers that prevent these programs from having their intended public health impact. In this article we describe the relevance of these systems in a real‐world context with a specific focus on the Prevention Support System (PSS). We expand on the ISF model by presenting funders and policy‐makers as active and engaged stakeholders, and demonstrate how a state‐level PSS has used empirical evidence to inform general and program‐specific capacity‐building and support interactions among researchers, funders, and practitioners in Pennsylvania. By embracing this expanded ISF framework as a conceptual model for the wide‐scale dissemination and support of EBPs, and recognizing the need for a distinct state‐level PSS, Pennsylvania has created an infrastructure to effectively address the primary barriers to moving from lists of EBPs to achieving population‐level public health improvement. Special Issue: Advances in Bridging Research and Practice Using the Interactive System Framework for Dissemination and Implementation; Guest Editors: Abraham Wandersman, Paul Flaspohler, Catherine A. Lesesne, Richard Puddy; Action Editor: Emilie Phillips Smith     

Social Isolation of Youth at Risk: Conceptualizations and Practical Implications

A literature review led to a conceptualization of social isolation as a major factor in determining how youth are increasingly put at risk for both immediate and lifelong difficulties. Three common and particularly troubling at‐risk situations that counselors face are specifically examined to better understand the origins and implications affecting assessment and interventions: abuse by peers in the form of bullying and harassment, abuse and neglect of youth by adults, and suicide as a form of self‐abuse. The authors present practical implications for how school and mental health counselors can apply this information in practice.     

Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling

Recently, verbal credibility assessment has been extended to the detection of deceptive intentions, the use of a model statement, and predictive modeling. The current investigation combines these 3 elements to detect deceptive intentions on a large scale. Participants read a model statement and wrote a truthful or deceptive statement about their planned weekend activities (Experiment 1). With the use of linguistic features for machine learning, more than 80% of the participants were classified correctly. Exploratory analyses suggested that liars included more person and location references than truth‐tellers. Experiment 2 examined whether these findings replicated on independent‐sample data. The classification accuracies remained well above chance level but dropped to 63%. Experiment 2 corroborated the finding that liars' statements are richer in location and person references than truth‐tellers' statements. Together, these findings suggest that liars may over‐prepare their statements. Predictive modeling shows promise as an automated veracity assessment approach but needs validation on independent data.