Search

We aimed to measure the psychosocial status and quality of life in mothers of babies with infantile colic (IC).

BackgroundThe symptoms of obsessive−compulsive disorder (OCD) are highly heterogeneous and it is unclear what is the optimal way to conceptualize this heterogeneity. This study aimed to establish a comprehensive symptom structure model of OCD across the lifespan using factor and network analytic techniques.MethodsA large multinational cohort of well-characterized children, adolescents, and adults diagnosed with OCD (N = 1366) participated in the study. All completed the Dimensional Yale-Brown Obsessive−Compulsive Scale, which contains an expanded checklist of 87 distinct OCD symptoms. Exploratory and confirmatory factor analysis were used to outline empirically supported symptom dimensions, and interconnections among the resulting dimensions were established using network analysis. Associations between dimensions and sociodemographic and clinical variables were explored using structural equation modeling (SEM).ResultsThirteen first-order symptom dimensions emerged that could be parsimoniously reduced to eight broad dimensions, which were valid across the lifespan: Disturbing Thoughts, Incompleteness, Contamination, Hoarding, Transformation, Body Focus, Superstition, and Loss/Separation. A general OCD factor could be included in the final factor model without a significant decline in model fit according to most fit indices. Network analysis showed that Incompleteness and Disturbing Thoughts were most central (i.e. had most unique interconnections with other dimensions). SEM showed that the eight broad dimensions were differentially related to sociodemographic and clinical variables.ConclusionsFuture research will need to establish if this expanded hierarchical and multidimensional model can help improve our understanding of the etiology, neurobiology and treatment of OCD.

Cito;CNTEST;CTB/McGraw-Hill;eMetric;Measured Progress;Stata;The College Board;The Graduate Management Admission Council;The Law School Admission Council;University of Amsterdam, 78th Annual Meeting of the Psychometric Society, 2013 -- 22 July 2013 through 26 July 2013 -- -- 111179, The purpose of this study is to compare the results of computer based linear Turkish Pupil Monitoring System (TPMS) administrations with Computerized Adaptive Testing (CAT) and Multi Stage Adaptive Testing (MSAT) results in mathematics assessment. On the basis of the real data obtained from TPMS, different CAT scenarios were tested in post-hoc simulations with various starting rules, termination criteria, and different control strategies of CAT using either Maximum Likelihood (ML) or Weighted Maximum Likelihood (WML) estimation procedures. Results of the CAT study indicated that WML with easy initial item difficulty, fixed test reliability termination along with item exposure and content control strategies produced defensible results. Alternatively, a multi stage scenario was designed to compare the efficiency of CAT and MSAT. Examinees were administered a fixed subtest with 15 items followed by two subtests having ten items each. Using MSAT in TPMS seemed to be producing more valid results in terms of content sampling than CAT. © Springer International Publishing Switzerland 2015.