نتایج جستجو برای: lgcm

تعداد نتایج: 28  

2017
John M. Felt Sarah Depaoli Jitske Tiemensma

Objective: The stress response is a dynamic process that can be characterized by predictable biochemical and psychological changes. Biomarkers of the stress response are typically measured over time and require statistical methods that can model change over time. One flexible method of evaluating change over time is the latent growth curve model (LGCM). However, stress researchers seldom use th...

Journal: :Stats 2023

Researchers conducting longitudinal data analysis in psychology and the behavioral sciences have several statistical methods to choose from, most of which either require specialized software conduct or advanced knowledge inform selection correct model options (e.g., correlation structure). One simple alternative conventional is calculate area under curve (AUC) from repeated measures then use th...

Journal: :IEEE Micro 1999
Richard H. Stern

Spamming along A federal court in Alexandria, Virginia, has held that spammer LGCM, Inc. was liable to America Online (AOL) for fraud. LGCM thwarted AOL’s anti-spam software, the court found, and sent out over AOL’s system millions of unsolicited emails that solicited business for pornographic Web sites. The court’s November 1998 order of summary judgment required LGCM to cease abusing AOL’s sy...

Journal: :Structural equation modeling : a multidisciplinary journal 2011
JeeWon Cheong

The latent growth curve modeling (LGCM) approach has been increasingly utilized to investigate longitudinal mediation. However, little is known about the accuracy of the estimates and statistical power when mediation is evaluated in the LGCM framework. A simulation study was conducted to address these issues under various conditions including sample size, effect size of mediated effect, number ...

Journal: :Data 2023

The application of Latent Growth Curve Model (LGCM) and Partial Least Square Structural Equation Modeling (PLS-SEM) has gained much attention in panel survey studies. This study explores the distributions trends LGCM, PLS-SEM used data. It highlights gaps current existing approaches practiced by researchers analyzing integrated bibliometric analysis systematic review were employed this study. B...

Journal: :Experimental and clinical psychopharmacology 2015
Mary Rose Mamey Celestina Barbosa-Leiker Sterling McPherson G Leonard Burns Craig Parks John Roll

Researchers often want to examine 2 comorbid conditions simultaneously. One strategy to do so is through the use of parallel latent growth curve modeling (LGCM). This statistical technique allows for the simultaneous evaluation of 2 disorders to determine the explanations and predictors of change over time. Additionally, a piecewise model can help identify whether there are more than 2 growth p...

Journal: :Developmental science 2016
Baptiste Barbot Suzanna Krivulskaya Sascha Hein Jodi Reich Philip E Thuma Elena L Grigorenko

Differences in learning patterns of vocabulary acquisition in children at risk (+SRD) and not at risk (-SRD) for Specific Reading Disability (SRD) were examined using a microdevelopmental paradigm applied to the multi-trial Foreign Language Learning Task (FLLT; Baddeley et al., 1995). The FLLT was administered to 905 children from rural Chitonga-speaking Zambia. A multi-group Latent Growth Curv...

Journal: :J. Visual Communication and Image Representation 2011
Hui Wang Song Xiao C.-C. Jay Kuo

Robust video multicast in erasure networks using network coding (NC) to reduce the impact of packet loss is studied in this paper. In our proposed solution, random linear network coding (RLNC) is adopted at intermediate nodes of the network. RLNC linearly combines a group of packets by randomly selecting weighting coefficients on a finite field, and the loss of an RLNC-coded packet is equivalen...

Journal: :Int. Arab J. Inf. Technol. 2017
Steven Fernandes Josemin Bala

Through face we can know the emotions and feelings of a person. It can also be used to judge a person’s mental aspect and psychomatic aspects. There are 5 state of the art approaches for recognizing faces under varying facial expressions. These 5 approaches are overlapping Discrete Cosine Transform (DCT), Hierarchical Dimensionality Reduction (HDR), Local and Global combined Computational Featu...

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