Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"latent variable analysis"”.
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Examining the reciprocal associations between delinquency and parental monitoring in two adolescent samples: a within- and between-person latent variable analysis
… current study uses an innovative Autoregressive Latent Trajectory Model with Structured Residual (ALT-SR) to examine the within-person (time-invariant) and between-person (time-variant) associations between delinquency and parental monitoring over a long period of time. On average, delinquency …
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IP Algorithm Applied to Proteomics Data
… assumptions which can be harmful to subsequent analysis. The IP algorithm is a dimension reduction algorithm, similar in purpose to latent variable analysis. It is based on the principle of maximum entropy and therefore imposes a minimum number of assumptions on the data. Partial Least Squares …
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A methodology for the characterization of business-to-consumer E-commerce.
… proposes a quantitative framework that uses latent variable analysis to identify the underlying traits of Internet users' opinions. Predictive models are then built to select the factors that are most predictive of the propensity to buy on-line and classify Internet users according to that …
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Individual differences in syntactic processing during reading: a psycholinguist’s “two disciplines” problem
… In both a multi-level mixed-effects regression analysis (1A) and a latent variable analysis (1B), we find correlations between measures of individual differences (notably language experience and memory span scores) and overall reading comprehension, reading speed, and relative clause attachment …
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Student Learning Heterogeneity in School Mathematics
… grades 3, 6, and 9 dataset were analyzed using latent trait analysis (LTM) and latent class analysis (LCA). The tests were constructed to distinguish four achievement levels per grade and, either five curriculum strands (grades 3 and 6), three strands (grade 9 applied) or four strands (grade 9 …
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Working memory training and transcranial electrical brain stimulation
… memory. Consequently, the final study used a latent variable approach to explore the degree of overlap between different forms of backward recall and n-back tasks containing digits, letters, or spatial locations as stimuli. The best-fitting factor model included two distinct but related (r = …