Latent Variable Modelling and Item Response Theory Analyses in Marketing Research

Folia Oeconomica Stetinensia

Brzezińska Justyna¹ 

[1] University of Economics in Katowice, Faculty of Finance and Insurance, Department of Economic and Financial Analysis, 1 Maja 50, 40-287 Katowice, Poland;

关键词: latent class analysis;    latent variables;    item response theory models;    survey discrete survey response data;    r software;    c25;    c51;    c59;   

DOI  :  10.1515/foli-2016-0032

来源: DOAJ

【 摘 要 】

Item Response Theory (IRT) is a modern statistical method using latent variables designed to model the interaction between a subject’s ability and the item level stimuli (difficulty, guessing). Item responses are treated as the outcome (dependent) variables, and the examinee’s ability and the items’ characteristics are the latent predictor (independent) variables. IRT models the relationship between a respondent’s trait (ability, attitude) and the pattern of item responses. Thus, the estimation of individual latent traits can differ even for two individuals with the same total scores. IRT scores can yield additional benefits and this will be discussed in detail. In this paper theory and application with R software with the use of packages designed for modelling IRT will be presented.

【 授权许可】

Unknown