A psychometric data science approach to study latent variables: a case of class quality and student satisfaction

Rave, Jorge Iván Pérez; Álvarez, Gloria Patricia Jaramillo; Echavarría, Favián González

doi:10.1080/14783363.2021.1980381

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…Its importance lies in the fact that most psychometric scales are affected by the diversity−validity dilemma (Martínez et al. , 2006; Pérez-Rave et al. , 2021), they are discriminatory in respect of personal factors such as age, gender, and ethnicity.…”

Section: Resultsmentioning

confidence: 99%

“…This is a relevant property in psychometric latent variable analysis; however, it is not ordinarily examined in management research, personnel selection being the exception. Its importance lies in the fact that most psychometric scales are affected by the diversityÀvalidity dilemma (Mart ınez et al, 2006;P erez-Rave et al, 2021), they are discriminatory in respect of personal factors such as age, gender, and ethnicity. In the present case, gender, age, socioeconomic stratum, and education level were considered for the equity analysis.…”

Section: Confirmmentioning

confidence: 99%

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A scale for measuring healthcare service quality incorporating patient-centred care and using a psychometric analytics framework

Rave

Figueroa²,

Echavarría³

2022

JHOM

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PurposeRecent developments in healthcare contexts increasingly emphasize patient-centred approaches to service quality measures; however, few studies consider this dimension explicitly. The present study develops and psychometrically validates a scale of healthcare service quality explicitly incorporating a patient-centred care dimension from a communicational perspective. The paper also enriches the traditional content of service quality by including equity items and presents the underlying structure of service quality in an emerging country.Design/methodology/approachThe final sample consisted of 869 healthcare users (complete cases in the service quality items derived from 917 surveys received) from Colombia. The authors used a psychometric analytics framework comprising seven processes incorporating exploratory factor analysis, structural equation modelling, and machine learning methods to examine construct plausibility, reliability, construct validity, equity, and criterion/predictive validity (e.g. explaining/predicting subjective well-being and behavioural intentions).FindingsThe final scale consists of 17 items and satisfies all psychometric properties. Its validation allows for the discovery and psychometrical confirmation of two essential dimensions: patient-centred communication (eight items) and process quality (nine items).Practical implicationsThe authors illustrate three practical uses of the scale: the possibility for diagnoses; hypothesis contrast based on confidence intervals; and estimation of the capacity of the service to satisfy specifications.Originality/valueBoth dimensions reveal users' relevant needs and complement previous studies that have focused on process aspects of healthcare service quality.

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Section: Resultsmentioning

confidence: 99%

Section: Confirmmentioning

confidence: 99%

A scale for measuring healthcare service quality incorporating patient-centred care and using a psychometric analytics framework

Rave

Figueroa²,

Echavarría³

2022

JHOM

Self Cite

View full text Add to dashboard Cite

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Product pricing solutions using hybrid machine learning algorithm

Namburu¹,

Selvaraj²,

Varsha³

2022

Innovations Syst Softw Eng

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E-commerce platforms have been around for over two decades now, and their popularity among buyers and sellers alike has been increasing. With the COVID-19 pandemic, there has been a boom in online shopping, with many sellers moving their businesses towards e-commerce platforms. Product pricing is quite difficult at this increased scale of online shopping, considering the number of products being sold online. For instance, the strong seasonal pricing trends in clothes—where Brand names seem to sway the prices heavily. Electronics, on the other hand, have product specification-based pricing, which keeps fluctuating. This work aims to help business owners price their products competitively based on similar products being sold on e-commerce platforms based on the reviews, statistical and categorical features. A hybrid algorithm X-NGBoost combining extreme gradient boost (XGBoost) with natural gradient boost (NGBoost) is proposed to predict the price. The proposed model is compared with the ensemble models like XGBoost, LightBoost and CatBoost. The proposed model outperforms the existing ensemble boosting algorithms.

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A measure of dignified treatment for healthcare workers: design and psychometric properties

2022

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A psychometric data science approach to study latent variables: a case of class quality and student satisfaction

Cited by 6 publications

References 31 publications

A scale for measuring healthcare service quality incorporating patient-centred care and using a psychometric analytics framework

A scale for measuring healthcare service quality incorporating patient-centred care and using a psychometric analytics framework

Product pricing solutions using hybrid machine learning algorithm

A measure of dignified treatment for healthcare workers: design and psychometric properties

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