Latent Variable Modelling and Item Response Theory Analyses in Marketing Research
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’...
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| Format: | Article |
| Language: | English |
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Sciendo
2016-12-01
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| Series: | Folia Oeconomica Stetinensia |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/foli-2016-0032 |
| _version_ | 1818587279323561984 |
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| author | Brzezińska Justyna |
| author_facet | Brzezińska Justyna |
| author_sort | Brzezińska Justyna |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T09:06:20Z |
| format | Article |
| id | doaj.art-bf93301448424afb9da64842cb4b6c99 |
| institution | Directory Open Access Journal |
| issn | 1898-0198 |
| language | English |
| last_indexed | 2024-12-16T09:06:20Z |
| publishDate | 2016-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Folia Oeconomica Stetinensia |
| spelling | doaj.art-bf93301448424afb9da64842cb4b6c992022-12-21T22:37:04ZengSciendoFolia Oeconomica Stetinensia1898-01982016-12-0116216317410.1515/foli-2016-0032foli-2016-0032Latent Variable Modelling and Item Response Theory Analyses in Marketing ResearchBrzezińska Justyna0University of Economics in Katowice, Faculty of Finance and Insurance, Department of Economic and Financial Analysis, 1 Maja 50, 40-287 Katowice, PolandItem 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.https://doi.org/10.1515/foli-2016-0032latent class analysislatent variablesitem response theory modelssurvey discrete survey response datar softwarec25c51c59 |
| spellingShingle | Brzezińska Justyna Latent Variable Modelling and Item Response Theory Analyses in Marketing Research Folia Oeconomica Stetinensia latent class analysis latent variables item response theory models survey discrete survey response data r software c25 c51 c59 |
| title | Latent Variable Modelling and Item Response Theory Analyses in Marketing Research |
| title_full | Latent Variable Modelling and Item Response Theory Analyses in Marketing Research |
| title_fullStr | Latent Variable Modelling and Item Response Theory Analyses in Marketing Research |
| title_full_unstemmed | Latent Variable Modelling and Item Response Theory Analyses in Marketing Research |
| title_short | Latent Variable Modelling and Item Response Theory Analyses in Marketing Research |
| title_sort | latent variable modelling and item response theory analyses in marketing research |
| topic | latent class analysis latent variables item response theory models survey discrete survey response data r software c25 c51 c59 |
| url | https://doi.org/10.1515/foli-2016-0032 |
| work_keys_str_mv | AT brzezinskajustyna latentvariablemodellinganditemresponsetheoryanalysesinmarketingresearch |