Behavioral researchers increasingly recognize the need for more diverse samples that capture breadth of human experience. Current attempts to establish generalizability across populations focus on threats validity, constraints generalization, and accumulation large, cross-cultural data sets. But continued progress, we also require a framework lets us determine which inferences can be drawn how ...

It is incorrect and even harmful that many information systems researchers typically criticize their own intensive (qualitative, interpretive, critical, and case) research as lacking “generalizability.” We untangle and distinguish the numerous concepts now confounded in the single term “generalizability,” which are generality, generalization, generalize, general, and generalizing. These clarifi...

This work investigates how generalizability, an extension of reliability, can be defined and estimated based on longitudinal data sequences resulting from, for example, clinical studies. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind, randomized clinical trials into schizophrenia motivate the research and are used t...

Clinical research usually involves patients with a certain disease or a condition. The generalizability of clinical research findings is based on multiple factors related to the internal and external validity of the research methods. The main methodological issue that influences the generalizability of clinical research findings is the sampling method. In this educational article, we are explai...

Applying a measurement instrument developed in specific country to other countries raise critical and important question of interest especially cross-cultural studies. Confirmatory factor analysis (CFA) is the most preferred used method examine applicability tools. Although CFA sophisticated technique investigate various equivalence types (structural, metric, scalar alike.), it has some limitat...

This paper presents a simple conceptualization of generalization, called other-settings generalization, that is valid for any IS researcher who claims that his or her results have applicability beyond the sample where data were collected. An other-settings generalization is the researcher’s act of arguing, based on the representativeness of the sample, that there is a reasonable expectation tha...

The imitation paradigm [1, 2], in which subjects' speech is compared before and after they are exposed to target speech, has shown that subjects shift their production in the direction of the target, indicating the use of episodic traces in speech perception as well as the close tie between speech perception and production. By using this paradigm, the current study aims to investigate the psych...

Introduction A major challenge in designing technology for users with cognitive impairments is achieving generalizable results. By design, controlled experiments—the gold standard of evaluation in HCI research—remove individual differences through statistical means. While this is appropriate in many situations, when working with special populations, individual differences are often very pronoun...

The SIGIR 2015 Workshop on Reproducibility, Inexplicability, and Generalizability of Results (RIGOR) took place on Thursday, August 13, 2015 in Santiago, Chile. The goal of the workshop was two fold. The first to provide a venue for the publication and presentation of negative results. The second was to provide a venue through which the authors of open source search engines could compare perfor...

This appendix provides additional details of the illustration that the essay has already provided, in part, for how to generalize a theory to a new setting. The theory is one originally developed and empirically tested by Markus (1983). The illustration involves the generalizing of Markus’ theory from the organization Markus called GTC to a new organization that we call QED. The additional deta...