We constructed a new taxonomy for inferential thinking, a construct called Integrative Inferential Reasoning (IIR). IIR extends Pearson and Johnson's (1978) framework of text-implicit and script-implicit question-answer relations, and integrates several other prominent literacy theories to form a unified inferential reasoning construct, that is positioned as a type of cognitive processing disposition. We validated our construct using a researcher-made IIR instrument which was administered to 72 primary-grade students. Participants answered open-ended inference questions about various aspects of visual narratives presented in comic-strip format. We categorized participants' responses as exemplifying one of the levels of IIR: text-implicit, scriptimplicit, or a combination of both. We used item response models to validate the ordinal nature of IIR, and its structure. Specifically, we fit Masters' (1982) partial credit model and obtained a Wright map, mean location data, and reliability estimates. Results confirmed that the IIR construct behaves ordinally. Additionally, age was found to be a reliable predictor of IIR, and item types (each modeled as a separate dimension) were found to have reasonable latent correlations between the dimensions. This research provides theoretical and practical insights for the pedagogy and assessment of narrative comprehension.
Objective: The Trans Woman Voice Questionnaire (TWVQ) is commonly used to quantify self-perceptions of voice for trans women seeking gender-affirming voice care, but the interpretation of TWVQ scores remains challenging. The objective of this study was to use item-response theory (IRT) to evaluate the relationship between TWVQ items and persons on a common scale and identify improvements to increase the meaningfulness of TWVQ scores.Methods: A retrospective review of TWVQ scores from trans women patients between 2018-2020 was performed. Rasch-family models were used to generate item-person maps positioning respondent location and item difficulty estimates on a logit scale, which was then converted into a scaled score using linear transformations.Results: TWVQ responses from 86 patients were analyzed. Initial item-person maps demonstrated that the middle response categories ("sometimes" and "often") performed inconsistently across items (poor threshold banding); interpretability improved when these ratings were scored as one category. The models were rerun using revised scoring, which retained high reliability (0.93) and supported a unidimensional construct. Updated item-person maps revealed four scaled score zones (≤54, >54 to ≤101, >101 to ≤140, and >140) that each corresponded to an increasing pattern of item thresholds (probability of selecting one response category vs. others). These ranges can be interpreted as minimal, low, moderate, and high, respectively.Conclusions: Empiric data from Rasch analysis supports new interval scoring for the TWVQ that advances the clinical and research utility of the instrument and lays the foundation for future improvements in clinical care and outcomes assessment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.