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 ...

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...

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...