2005
DOI: 10.1027/1015-5759.21.1.1
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Application of the Double Monotonicity Model to Polytomous Items

Abstract: Abstract. This paper investigates the item scalability of the Beck Depression Inventory (BDI) in 252 subjects; 126 with and 126 without eating disorders. To do so, an order was established regarding the BDI items according to the clinical characteristics of the subjects with eating disorders. The nonparametric Item Response Theory (NIRT) model was applied to evaluate Monotone Homogeneity and Double Monotonicity of items, as well as the reliability of the scale in both groups. The results show that the order of… Show more

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Cited by 9 publications
(5 citation statements)
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References 28 publications
(33 reference statements)
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“…In addition, LCRC reliability values, estimated according to MHM of tests with polytomous items, were high. This finding supports that of Rivas et al (2005), who suggested achieving tests with high reliability by using scaling according to MHM.…”
Section: Discussionsupporting
confidence: 81%
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“…In addition, LCRC reliability values, estimated according to MHM of tests with polytomous items, were high. This finding supports that of Rivas et al (2005), who suggested achieving tests with high reliability by using scaling according to MHM.…”
Section: Discussionsupporting
confidence: 81%
“…In these studies, which generally use large samples and long tests, a limited number show that NIRT is useful in short tests and small samples-the observed advantage of NIRT over PIRT (Aderka et al, 2013;Galindo Garre et al, 2014;Laroche et al, 1999;Lee et al, 2009;Meijer & Baneke, 2004;Palm & Strong, 2007;Patsula & Gessaroli, 1995;Rivas et al, 2005;Sijstma et al, 2008;Sueiro & Abad, 2011;Young et al, 2003).…”
mentioning
confidence: 99%
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“…Specifically, examining eigenvalues and variance accounted for by each factor can be illustrative. For the current study, the first three eigenvalues (and variance accounted for) for the PCL-YV data were 6.504 (39.2%), 1.504 (6.04%), and 1.34 (3.02%), indicating, based on the index UNIDI ¼ ( 1 -2 )/( 2 -3 ) > 5 (Rivas, Bersabe, & Berrocal, 2005), strong support for unidimensionality. Reliability estimates can also be helpful in determining the coherence of the construct.…”
Section: Resultsmentioning
confidence: 73%
“…The first three eigenvalues were 5.90, 1.70, and 1.33, respectively, accounting for 29.48%, 8.48%, and 6.62% of the variance. According to the UNIDI index—(λ 1 – λ 2 )/(λ 2 – λ 3 ) > 5 (Martínez Arias, 1995, p. 297)—results of the PCA demonstrated very good support of unidimensionality (Rivas, Bersabe, & Berrocal, 2005). Inter-item reliability (Cronbach’s α = .88) estimates indicated good internal consistency for the total PCL:YV items.…”
Section: Resultsmentioning
confidence: 99%