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Purpose – A major limitation in cross-cultural research continues to be attempts to compare construct measurements across cultures without adequate conceptual and empirical evidence of the equivalency of the measurement scores. Of significant concern in such studies is the presence of various types of response bias that may systematically differ from one culture to another, resulting in a potential violation of the assumption that measurement scores across cultures are equivalent. The focus of this study is to investigate the role of the response format type, extreme response style (ERS). Most studies have investigated response bias styles using Likert-type scales as response formats, yet it has long been argued that these particular formats tend to result in various types of response style bias, especially in cross-cultural research. Would other scaling devices, such as semantic differential (SD), lessen response style bias in pan-cultural studies? To answer this question, our study employs two types of response formats (i.e., Liker-type and SD) to empirically test for the presence of ERS within each response format style.

Methodology/approach – This chapter takes the form of empirical research using ERS indices to test for the degree of ERS between response formats using samples from a collectivistic culture (i.e., South Korea) and an individualistic culture (i.e., United States).

Findings – Results show that samples from both cultures exhibit greater levels of ERS when using Likert-type scales compared to SD scales. Additionally, this study finds that, when using Likert-type scales, ERS is greater for U.S. respondents than for South Korea respondents. Finally, results show that there is no statistically significant difference in ERS between the two cultural groups when using SD response formats.

Research implications – Findings show that the use of SD response formats eliminates systematic differences in ERS between a collectivist sample and an individualist sample. Therefore, the use of such response formats in future cross-cultural research can greatly diminish the problematic effects of culturally based ERS and lead to greater confidence in the equivalency of measurement scores across cultures.

Originality/value of paper – This study is the first to simultaneously assess culturally based ERS using two types of response formats to investigate the impact of response format on ERS. Furthermore, this study assesses the role of response format on ERS both within and between two distinctly different cultures.

We integrate cross-cultural literature with broader literature in survey methodology, human cognition, and communication. First, we briefly review recent work in cognitive survey methodology that advances our understanding of the processes underlying question comprehension and response. Then, using a process model of cultural influence, we provide a framework for hypothesizing how cross-cultural differences may systematically influence the meaning respondents make of the questions that researchers ask, how memory is organized, and subjective theories about what constitutes an appropriate answer and therefore the answers participants are likely to give.

Creating something entirely new, something important, something for which there is no agreed upon “right way,” set model, or solid precedence is exciting – and, at times, frustrating. Developing the Adolescence and Young Adulthood assessment for science teachers (AYA/S) of students aged 14 to 18+ for the National Board for Professional Teaching Standards (NBPTS) is a case in point. This chapter describes our experiences as an Assessment Development Laboratory (ADL) and looks at some of the challenges inherent in developing a large-scale assessment that is complex, strives to be innovative, and must be closely aligned with a given set of standards. Some of the external challenges we faced included shifting and unclear expectations, the conflicting needs of multiple stakeholders and a deadline that was dramatically shortened midway through the process. Within the assessment development process itself we also needed to consider how best to involve teachers, address issues of equity and standardize the process to maximize efficiency. We share some stories to illustrate not only the challenges but also the insights gained and lessons learned during the early years if the project with the hope that they provide a useful historical perspective relevant for other large-scale assessment development projects.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

This study provides evidence on the relationship between scale characteristics and participant responses for percentage-based scales (i.e., 101 points) in accounting research. A 4 × 1 between-subjects experiment examines how common labeling designs affect various statistical properties, including means, variance, normality of the distribution, and frequency of responses. The results indicate that labels on percentage-based scales have a significant impact on the distribution of participants' responses. Labeling only the endpoints is the lone condition that results in normally distributed data. Additional analyses suggest that labels on percentage-based scales influence participant responses in multiple ways. First, as the number of labels increases, participants may not adequately consider, and thus ultimately select, unlabeled points. Second, while participants seem to inherently interpret percentage-based scales in quartiles and deciles, labeling as such exacerbates this tendency. Finally, when more labels are present, participants seem to engage an anchoring heuristic when selecting their response. Taken as a whole, the results suggest that accounting researchers may benefit from labeling only the endpoints of percentage-based scales.

Concepts equip the mind with thought, provide our theories with ideas, and assign variables for testing our hypotheses. Much of contemporary research deals with narrowly circumscribed concepts, termed simple concepts herein, which are the grist for much empirical inquiry in the field. In contrast to simple concepts, which exhibit a kind of unity, complex concepts are structures of simple concepts, and in certain instances unveil meaning going beyond simple concepts or their aggregation. When expressed in hylomorphic structures, complex concepts achieve unique ontological status and serve particular explanatory capabilities. We develop the philosophical foundation for hylomorphic structures and show how they are rooted in dispositions, dispositional causality, and various mind–body trade-offs. Examples are provided for this emerging perspective on “Big concepts” or “Big Ideas.”

“Garbage in, garbage out” is a common expression that academics and practitioners use to emphasize that empirical analysis is only as good as the basis on which it relies. Although the importance of sound data and valid measures has long been acknowledged, it is nevertheless often problematic to follow required quality standards in concrete research situations. Potential sources of error are usually unknown, methods to ensure data quality are unavailable, and existing methods for scale development, index construction, data collection, and data analysis are insufficient or erroneously applied. This is especially true of international marketing research, which often makes great demands on the data and measures used, as well as on the research methodology applied. Against this background, this volume addresses issues pertaining to measurement and research methodology in an international marketing context. Thanks to the efforts of authors and reviewers, we are pleased to present nine articles that deal with cutting-edge topics such as formative measurement, response-bias in cross-cultural research, marketing efficiency measurement, and segmentation methods.

Attention deficit hyperactivity disorder (ADHD) is the most commonly diagnosed psychological disorder of childhood. Prevalence of ADHD currently is estimated at 5% among school-age children making it a serious concern for educators. One aspect of ADHD, however, that has received comparatively little attention is the academic difficulties that are commonly associated with ADHD. This chapter provides an overview of the extent and nature of academic problems of students with ADHD. First, a theoretical perspective on academic deficits of students with ADHD drawn from Barkley's (2006) theoretical work is presented. Second, the academic status of students with ADHD is discussed. Third, drawing on longitudinal studies, the academic trajectory of students with ADHD is examined. Fourth, possible causal factors for academic problems and core deficit areas of working memory and executive functions are discussed. Next, progress in academic interventions for ADHD is assessed and promising interventions are noted. Finally, some possible directions for future intervention research are provided.

Adolescents, because of the unique developmental stage they occupy, are particularly sensitive to their socio-cultural environment. Adolescents often define behaviors in light of prevailing attitudes, values, and norms (i.e. culture) established across primary social domains. Specifically, overarching social structures (e.g. economic, political, religious, etc.), working through the local landscape (e.g. neighborhood, school, peer networks, and family), play a vital role in shaping adolescent development and influencing psychological, behavioral, and social outcomes (Arnett & Arnett-Jensen, 1994; Greenberger et al., 2000; Grob et al., 1996; McArdle et al., 2000). For youth, definitions of normative behavior vary, yet socio-cultural context continues to be important in defining who they are and what they do. Culture defines accepted standards of behavior, lifestyles, and life chances. As such, socio-cultural influences have been particularly strong predictors of health-compromising behaviors for this population subgroup (Fitzpatrick, 1997; Fitzpatrick & LaGory, 2000; Gibbons et al., 1995; Graham et al., 1991).

Based on a review of multiple literatures, a comprehensive content domain of essential intercultural competencies for effective global leaders is presented. This domain is then used to guide the development of the Global Competencies Inventory (GCI), a 160-item self-report measure that assesses the degree to which individuals possess the intercultural competencies that are associated with global leader effectiveness. Using sample sizes ranging from several hundred to nearly 9,000 subjects, evidence from several studies is presented showing the GCI to have convergent validity, predictive validity, and freedom from demographic and ethnic subgroup biases. Implications for theory and future research are also discussed.