Item response theory-based validation of an integrated management system measurement instrument

How can organizations measure the integration of environmental, social, and governance (ESG) criteria? Validation of an instrument using item response theory to capture workers' perception

“…Table 15 presents the anchoring of response alternatives for the instrument's items, establishing the latent trait scale. Each alternative was anchored at a specific point on the scale, ensuring a conditional probability greater than 50% (Barbosa, Bueno da Silva, Morioka, et al, 2021; Da Silva et al, 2020). Anchoring resulted in a five‐level scale (≤ 29.99; 30–39.99; 40–49.99; 50–59.99; and ≥ 60), accounting for the linear transformation of IRT parameters from the normal scale (0 ± 1) to the normal scale (50 ± 10) as described by da Silva Menegon et al (2019).…”

“…Therefore, to manage the impacts of integrating ESG criteria more effectively on corporate sustainability performance, companies need appropriate and scientifically validated instruments. To this end, research is being carried out using instruments with observable variables, assessed using Likert‐type scales to capture the perception of stakeholders, and validated by the statistical method of IRT (Barbosa, Bueno da Silva, Morioka, et al, 2021; Sözer & Kahraman, 2021).…”

“…Supporting this assertion, Barbosa, Bueno da Silva, Morioka, et al (2021) employed IRT to validate an instrument assessing the multidimensional impact of integrated management systems on organizational performance from the workers' perspective. Similarly, Vincenzi et al (2018) utilized IRT to evaluate the perception of environmental sustainability.…”

“…In this context, Item Response Theory (IRT) offers powerful tools for validating research instruments by examining how well individual items discriminate between different levels of the latent construct (e.g., the impacts of ESG criteria on corporate sustainability performance) (Siraji et al, 2023). It enables the evaluation of item characteristics, such as item difficulty, discrimination, and information, providing insights into the psychometric properties and measurement precision of the instrument (Barbosa, Bueno da Silva, Morioka, et al, 2021; Loiselle et al, 2021). Employing IRT enhances the reliability, validity, and measurement precision of research instruments, enabling accurate assessments of ESG impacts on sustainability and informing evidence‐based decision‐making for sustainable business practices (Andersson et al, 2022; Fernandes & Bornia, 2019).…”

Construction of a Musculoskeletal Discomfort Scale for the Lower Limbs of Workers: An Analysis Using the Multigroup Item Response Theory

“…The instrument’s information curve indicates the region of the scale with greater precision; that is, the region of the scale constitutes the greatest amount of information and the smallest measurement error, which is an important validation indicator of the data collection instrument [ 24 ]. Equation (2) shows the calculation of the information for each item [ 25 ]: where is the first derivative of the response curve of the category evaluated at a given level of the latent trait; therefore, greater discrimination of item i implies that more information is provided to the measurement instrument [ 12 ].…”