Modelagem Multinomial Aplicada à Pesquisa em Psicologia

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DOI:

https://doi.org/10.34019/1982-1247.2020.v14.29542

Palavras-chave:

Modelagem matemática, Processos latentes, Distribuição multinomial, Processos estocásticos, Estados mentais

Resumo

Teorias sobre fenômenos psicológicos frequentemente fazem referência a processos que não são diretamente observáveis (processos latentes). Tradicionalmente, no entanto, a investigação desses fenômenos é feita de forma indireta aos processos latentes. O objetivo deste artigo é introduzir os conceitos fundamentais de modelagem multinomial. Aqui mostramos como modelos de processos latentes são derivados de modelos puramente descritivos através da redução do espaço de parâmetros motivada por uma ou mais teorias psicológicas. Os resultados são os modelos multinomiais que fornecem medidas simples de processos psicológicos (probabilidades) e que podem ser quantitativamente testados com dados reais. O uso de modelagem multinomial permite a análise direta dos efeitos de variáveis independentes nos próprios processos latentes que controlam o desempenho em uma ou mais tarefas experimentais, assim, facilitando o teste de predições e explicações teóricas sobre fenômenos psicológicos

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Publicado

2020-10-04

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Seção

Número Temático: Cérebro & Mente: Interações