Reference effects and customer engagement in a museum visit

Purpose By extending the expectancy-disconfirmation theory and integrating the elaboration likelihood model, this study aims to explore the reference effects (i.e. disconfirmation and self-identity) and customer engagement that affect customer experience on satisfaction with a museum visit. The study is designed to test a dual-mediator mechanism involving disconfirmation and self-identity. The moderating role of cognitive, affective or behavioral engagements is also examined with the overall purpose to advance the understanding of customer experience in cultural consumption such as museum visits. Design/methodology/approach A self-administered field survey in two stages was carried out on visitors to the Hong Kong Museum of Art. A total of 465 valid response sets were used for analysis. Hypotheses were tested using confirmatory factor analysis, three-step mediation test, structural equation modeling and moderation regressions. Findings Disconfirmation and self-identity are found to be dual mediators in the experience–satisfaction relationship. Cognitive engagement reduces the effect of knowledge experience on disconfirmation and self-identity but increases that of the entertainment experience on disconfirmation and self-identity. Affective engagement amplifies the effect of knowledge experience on self-identity but mitigates the importance of entertainment evaluations. Practical implications Findings highlight the importance of both perceived knowledge and entertainment experiences in visitors’ evaluation of a cultural experience. Managers are suggested to craft promotional messages with the psychological appeal that connects visitors with museum services. Appropriate engagement tactics for museums can be developed to avoid overloading visitors with information. Originality/value Previous studies treat disconfirmation as the dominant reference effect in the formation of customer satisfaction. This study shows both disconfirmation and self-identity as dual reference effects that link the customer experience to satisfaction in the museum context, serving as a pioneer in defining how the influence of experience on reference effects varies depending on how customers are cognitively and affectively engaged in such context.

A Person-Centered Approach for Analyzing Multidimensional Integration in Collaboration Between Educational Researchers and Practitioners

This study was conducted in the context of a development project for teacher education, establishing a collaborative format called Transdisciplinary Development Teams (TDTs). The aim of this study was to investigate (a) how participating TDT members assess focal dimensions of integration characteristics (DICs) with regard to success factors and challenging aspects. DICs are operationalized as (1a) mutual learning and (1b) knowledge integration, (2a) perceived trustworthiness, and (2b) appreciation within the team, and (3a) collective ownership of goals. In addition, they seek to (b) differentiate the types of actors characterized by particular assessment patterns. The study employs a person-centered approach (cluster analysis) and uses a data corpus with 62 response sets. Subsequently, this study offers a genuine conceptual approach to frame interorganizational collaboration in teacher education. On this basis, empirical insights that provide further practical implications to support future collaboration at the boundary of educational research and practice have been generated.

The development and validation of a revised version of the Medical Outcomes Study Sleep Scale (MOS Sleep-R)

Background The 12-item Medical Outcomes Study Sleep Scale (MOS Sleep Scale) has been used to capture patient-reported sleep problems in hundreds of studies. A revised version of the MOS Sleep Scale (MOS Sleep-R) was developed that uses simplified response sets, provides interpretable norm-based scoring, and has two recall versions (one-week or four-week). The objective of this study was to evaluate the psychometric properties (reliability and construct validity) of the MOS Sleep-R using data from a representative sample of U.S. adults. Methods Standardization of raw scores into norm-based T-scores (mean = 50, standard deviation = 10) was based on data from a 2009 U.S. internet-based general population survey. The internal consistency reliability of multi-item subscales and global sleep problems indices for both one-week and four-week recall forms of the MOS Sleep-R were examined using Cronbach’s alphas and inter-item correlations. Construct validity was tested by comparing item-scale correlations between items within subscales with item-scale correlations across subscales. Scale-level convergent validity was tested using correlations with measures including generic health-related quality of life (i.e., SF-36v2) and other relevant outcomes (e.g., job performance, number of days in bed due to illness or injury, happiness/satisfaction with life, frequency of stress/pressure in daily life, the impact of stress/pressure on health, and overall health). Results The one-week and four-week recall forms of the MOS Sleep-R were completed by 2045 and 2033 respondents, respectively. The psychometric properties of the one-week and four-week forms were similar. All multi-item subscales and global index scores showed adequate internal consistency reliability (all Cronbach’s alpha > 0.75). Patterns of inter-item and item-scale correlations support the scaling assumptions of the MOS Sleep-R. Patterns of correlations between MOS Sleep-R scores with criterion measures of health-related quality of life and other outcomes indicated adequate construct validity. Conclusions The MOS Sleep-R introduces a number of revisions to the original survey, including simplified response sets, the introduction of a one-week recall form, and norm-based scoring that enhances interpretability of scores. Both the one-week and four-week recall period forms of the MOS Sleep-R demonstrated good internal consistency reliability and construct validity in a U.S. general population sample.

Assessing Personality Pathology Response Sets in Perpetrators of Intimate Partner Violence

Self-report personality inventories may be useful in directing perpetrators of intimate partner violence (IPV) to appropriate intervention programs. They may also have predictive capabilities in assessing the likelihood of desistance or persistence of IPV. However, validity problems are inherent in self-report clinical tools, particularly in forensic settings. Scores of the modifying indices (subsections of the scale designed to detect biases in responding) of the Millon Clinical Multiaxial Inventory-III (MCMI-III) often are not reported in research. This study analyses the response sets of a sample of 492 IPV perpetrators at intake to a Danish perpetrator program. Profiles were grouped into levels of severity, and the proportion of exaggerated or minimized profiles at each severity level was analyzed. Findings suggested that 30% of the present sample were severely disturbed or exaggerating their symptoms. As expected, there were significant levels of exaggerated profiles present in the severe pathology group and significant levels of minimized profiles in the low pathology group. Self-referred participants were more likely to exaggerate their pathology, but minimization was not associated with referral status. Nor was there an association between gender and the modifying indices. It is suggested that so-called “fake good” or “fake bad” profiles should not necessarily be treated as invalid, but that elevations in the modifying indices can be interpreted as clinically and forensically relevant information in their own right and should be reported on in research.

The implications of finite‐order reasoning

The epistemic conditions of rationality and mth‐order strong belief of rationality (R mSBR; Battigalli and Siniscalchi, 2002) formalize the idea that players engage in contextualized forward‐induction reasoning. This paper characterizes the behavior consistent with R mSBR across all type structures. In particular, in a class of generic games, R( m − 1)SBR is characterized by a new solution concept we call an m‐best response sequence ( m‐BRS). Such sequences are an iterative version of extensive‐form best response sets (Battigalli and Friedenberg, 2012). The strategies that survive m rounds of extensive‐form rationalizability are consistent with an m‐BRS, but there are m‐BRS's that are disjoint from the former set. As such, there is behavior that is consistent with R( m − 1)SBR but inconsistent with m rounds of extensive‐form rationalizability. We use our characterization to draw implications for the interpretation of experimental data. Specifically, we show that the implications are nontrivial in the three‐repeated Prisoner's Dilemma and Centipede games.

An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes

Background Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human reviewers, it may accelerate and reduce the screening burden. Using DistillerSR (May 2020 release), we evaluated the performance of the prioritization simulation tool to determine the reduction in screening burden and time savings. Methods Using a true recall @ 95%, response sets from 10 completed systematic reviews were used to evaluate: (i) the reduction of screening burden; (ii) the accuracy of the prioritization algorithm; and (iii) the hours saved when a modified screening approach was implemented. To account for variation in the simulations, and to introduce randomness (through shuffling the references), 10 simulations were run for each review. Means, standard deviations, medians and interquartile ranges (IQR) are presented. Results Among the 10 systematic reviews, using true recall @ 95% there was a median reduction in screening burden of 47.1% (IQR: 37.5 to 58.0%). A median of 41.2% (IQR: 33.4 to 46.9%) of the excluded records needed to be screened to achieve true recall @ 95%. The median title/abstract screening hours saved using a modified screening approach at a true recall @ 95% was 29.8 h (IQR: 28.1 to 74.7 h). This was increased to a median of 36 h (IQR: 32.2 to 79.7 h) when considering the time saved not retrieving and screening full texts of the remaining 5% of records not yet identified as included at title/abstract. Among the 100 simulations (10 simulations per review), none of these 5% of records were a final included study in the systematic review. The reduction in screening burden to achieve true recall @ 95% compared to @ 100% resulted in a reduced screening burden median of 40.6% (IQR: 38.3 to 54.2%). Conclusions The prioritization tool in DistillerSR can reduce screening burden. A modified or stop screening approach once a true recall @ 95% is achieved appears to be a valid method for rapid reviews, and perhaps systematic reviews. This needs to be further evaluated in prospective reviews using the estimated recall.

Incomplete information and iterated strict dominance

The solution concept of iterated strict dominance for static games with complete information recursively deletes choices that are inferior. Here, we devise such an algorithm for the more general case of incomplete information. The ensuing solution concept of generalized iterated strict dominance is characterized in terms of common belief in rationality as well as in terms of best response sets. Besides, we provide doxastic conditions that are necessary and sufficient for modelling complete information from a one-person perspective.

Questionnaire Design and Translation for Refugee Populations: Lessons Learned from the REHEAL Study

Surveying the refugee population poses particular challenges: what measurement and culture effects need to be taken into account? Are some of the constructs related to refugees unique or can constructs used in other surveys be adapted? Due to considerable variation in educational background, in trauma history or in perception of ethnicity or gender roles in refugee populations, one needs to raise the question whether a one-size-fits-all approach is suitable when designing a questionnaire for refugee populations. Drawing upon the experience of the REHEAL study conducted in 2016 during the early phase of refugees' settlement in Greek refugee camps, the article addresses the particular challenges when designing and translating a questionnaire for multinational, multicultural and potentially traumatized refugee populations, residing in refugee accommodation settings. A post hoc scrutiny of the Arabic and Farsi versions of the REHEAL questionnaire forms the basis of this article in order to empirically inform best practices in designing and translating questionnaires for special populations. The authors set the stage by summarizing key aspects of concept and measurement equivalence in cross-cultural research, and then by expanding on the fact that cross-cultural differences in response styles or response sets can affect comparability. Translation and adaptation challenges are examined and illustrated by examples. This article serves to empirically document the benefit and pitfalls of appropriate measurements for use in refugee research.