TDRI_dataset.csv (166.63 kB)
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TDRI_dataset.csv

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dataset
posted on 31.03.2016, 03:03 by Hudson GolinoHudson Golino
The current dataset  was published by Golino and Gomes (2015). It presents data from 1,803 Brazilians (52.5% female) with age varying from 5 to 85 years (M = 15.75; SD = 12.21) that answered to the Inductive Reasoning Developmental Test – IRDT (3rd version; Golino & Gomes, 2015), a pencil-and-paper instrument with 56 items designed to assess developmentally sequenced and hierarchically organized inductive reasoning.. The sequence of IRDT items was constructed to measure seven developmental stages based on the Model of Hierarchical Complexity (Commons & Richards, 1984; Commons & Pekker, 2008) and on Fischer’s Dynamic Skill Theory (Fischer, 1980; Fischer & Yan, 2002), two neo-Piagetian theories of development. Golino and Gomes (2015) showed that two structures can be used to describe the IRDT items. The first one is a seven correlated factors model [χ2 (1463) = 764,28; p = 0,00; CFI = 1,00; RMSEA = 0,00; NFI = 0,99; NNFI = 1,00], in which each factor represents one stage and explains a group of eight items. The other is a bifactor (Schimid-Leiman) model with seven specific first order factors, each one representing one stage and explaining a group of eight items, plus a general first order factor directly explaining the IRDT’s 56 items [χ2 (1428) = 2768,36; p = 0,00; CFI = 0,98; RMSEA = 0,04; NFI = 0,95; NNFI = 0,98]. The authors showed that both models are not significantly different, via the Satorra and Bentler’s (2001) scaled chi-square test [Δχ² = -99.87; ΔDF = 35; p = 1].

Reference: 

Golino, H. F., & Gomes, C. M. (2015). Investigando estágios de desenvolvimento do raciocínio indutivo usando a análise fatorial confimatória, o Modelo Logístico Simples de Rasch e o modelo de teste logístico linear (Rasch Estendido). In H. F. Golino, C. M. Gomes, A. Amantes, & G. Coelho, Psicometria Contemporânea: Compreendendo os Modelos Rasch (pp. 283-331). São Paulo: Casa do Psicólogo/Pearson.


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