作者: Default 時(shí)間: 2025-3-21 22:11
978-3-031-55550-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: DEFER 時(shí)間: 2025-3-22 02:18
Quantitative Psychology978-3-031-55548-0Series ISSN 2194-1009 Series E-ISSN 2194-1017 作者: 徹底明白 時(shí)間: 2025-3-22 05:04 作者: 撤退 時(shí)間: 2025-3-22 08:54
https://doi.org/10.1007/978-3-031-55548-0Informatics; Conference Proceedings; Research; Applications; IMPS 2023; psychometrics; item response theor作者: 線 時(shí)間: 2025-3-22 16:42
A Family of Discrete Kernels for Presmoothing Test Score Distributions,core distributions are discrete and may have irregularities, it has been common practice to use presmoothing techniques to correct for such irregularities of the score distributions. A common way to conduct presmoothing has been to use log-linear models..In this chapter, we introduce a novel class o作者: 令人苦惱 時(shí)間: 2025-3-22 18:02
Priors in Bayesian Estimation Under the Graded Response Model,s of the prior distributions. A Bayesian estimation method, Gibbs sampling, was compared with the marginal Bayesian estimation method using empirical data. The effects of the priors and their specifications on both item and ability parameter estimates are demonstrated. Issues in Bayesian estimation,作者: Adulate 時(shí)間: 2025-3-23 00:54 作者: 啜泣 時(shí)間: 2025-3-23 01:50
A Two-Stage Approach to a Latent Variable Mixed-Effects Location-Scale Model,scale models include distinct variance models to permit study of heterogeneity of within- and between-subject variation. Recent developments have extended the model to address measurement error in the longitudinal response. Accounting for variation in the response that is due to measurement error is作者: Granular 時(shí)間: 2025-3-23 07:43 作者: 學(xué)術(shù)討論會(huì) 時(shí)間: 2025-3-23 11:24 作者: 獨(dú)輪車(chē) 時(shí)間: 2025-3-23 16:19
Comparing Maximum Likelihood to Markov Chain Monte Carlo Estimation of the Multivariate Social Relave a unique nesting structure in that dyads (pairs) are cross-classified within individuals, who can also be nested in different networks. The SRM is used to examine basic multivariate relations between components of dyadic variables at two levels: individual-level random effects and dyad-level resi作者: Fermentation 時(shí)間: 2025-3-23 19:24
Exploring Attenuation of Reliability in Categorical Subscore Reporting,ies and operational testing programs have not changed. This may be due to several real-world complications such as user demand, competitors, or contractual obligations. Given these challenges, some test providers have continued to report subscores but in a categorical format to mitigate misinterpret作者: 標(biāo)準(zhǔn) 時(shí)間: 2025-3-23 23:12
Assessing Cross-Level Interactions in Clustered Data Using CATE Estimation Methods,for many treatments and interventions. In environments where individuals are clustered within communities, effect heterogeneity is commonplace rather than an exception, as characteristics of communities often interact with a treatment implemented on members within the communities, and such interacti作者: Thyroiditis 時(shí)間: 2025-3-24 04:01
A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Me handle ignorable missing data. However, they may lead to biased model estimation due to missing not at random data that often appear in longitudinal studies. Recently, machine learning methods, such as random forest (RF) and K-nearest neighbors (KNN) imputation methods, have been proposed to cope w作者: manifestation 時(shí)間: 2025-3-24 07:18
Investigating Variable Selection Techniques Under Missing Data: A Simulation Study,ata collection strategies. Machine learning methods such as LASSO and elastic net regression have gained traction in the field but are limited in the types of problems for which they are suitable. As such, researchers have pulled more complex techniques, such as the genetic algorithm, from fields li作者: placebo 時(shí)間: 2025-3-24 13:43
Comparison of DIF Detection Methods,ical methods have been developed to detect DIF, and as a result, many simulation studies have been conducted to evaluate the performance of two or three methods under different test situations. To have an overall picture on how they compare for tests with dichotomous items with and without DIF, this作者: 使聲音降低 時(shí)間: 2025-3-24 18:29 作者: Commodious 時(shí)間: 2025-3-24 22:00
Enhancing Multilevel Models Through Supervised Machine Learning,sts, regional house price predictions). In such data, observations within clusters exhibit dependencies, violating assumptions of independence and identical distribution. To address this, multilevel random effects are used instead of fixed effects. Starting from linear approaches, typical multilevel作者: notice 時(shí)間: 2025-3-25 00:42 作者: HAVOC 時(shí)間: 2025-3-25 06:07
Gumbel-Reverse Gumbel (GRG) Model: A New Asymmetric IRT Model for Binary Data, two links are the cumulative distribution functions (CDFs) of the Gumbel-min and Gumbel-max extreme value distributions, respectively. The resulting Gumbel-Reverse Gumbel (GRG) mixture model has one additional parameter. We illustrate using intelligence data taken from the Synthetic Aperture Person作者: 防御 時(shí)間: 2025-3-25 11:14 作者: 必死 時(shí)間: 2025-3-25 15:30
Investigating the Impact of Equating on Measurement Error Using Generalizability Theory, as independent sources of error with potential differential impacts on individual scores and group means. This paper proposes a perspective shift using generalizability theory. It argues that equating, when integrated into the measurement process, should be viewed as one among various sources contr作者: aviator 時(shí)間: 2025-3-25 19:53 作者: 任意 時(shí)間: 2025-3-25 22:35
2194-1009 stics area.Exmaines item response theory, cognitive diagnost.This book includes presentations given at the 88th annual meeting of the Psychometric Society, held in Maryland, USA on July 24–28, 2023...The proceeding covers a diverse set of psychometric topics. The topics include, but are not limited 作者: Barter 時(shí)間: 2025-3-26 01:34 作者: 一起平行 時(shí)間: 2025-3-26 04:18 作者: Functional 時(shí)間: 2025-3-26 11:31
A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Meachine learning approaches (FIML, RF, and KNN) in growth curve modeling. The effects of sample size, the rate of missingness, and missing data mechanism on model estimation are investigated. Results indicate that FIML is a better choice than the two machine learning imputation methods in terms of model estimation accuracy and efficiency.作者: collagen 時(shí)間: 2025-3-26 16:14 作者: 會(huì)議 時(shí)間: 2025-3-26 17:34 作者: exostosis 時(shí)間: 2025-3-26 21:55 作者: Decongestant 時(shí)間: 2025-3-27 02:02
Comparison of DIF Detection Methods,gths, DIF sizes, and DIF proportions. Results of the study provide a set of guidelines for researchers and practitioners on the use of each DIF detection method in different test situations where uniform or nonuniform DIF is present.作者: SKIFF 時(shí)間: 2025-3-27 08:45
Gumbel-Reverse Gumbel (GRG) Model: A New Asymmetric IRT Model for Binary Data,scussion of how the GRG model fits in the AsymIRT literature more broadly as well as a call for scholars to work on comparing the AsymIRT models to each other in a more rigorous manner, in particular focusing on identification issues within AsymIRT models that do not fix a tail direction a priori.作者: Choreography 時(shí)間: 2025-3-27 11:38
epresentation of that message, which has identifiable characteristics. With the advancement of electronic technology, the electrical signal has become the most suitable for the transmission of messages. But in its electrical representation, the message cannot be transmitted effectively due to its lo作者: 輕快走過(guò) 時(shí)間: 2025-3-27 17:11
Jorge González,Marie Wibergepresentation of that message, which has identifiable characteristics. With the advancement of electronic technology, the electrical signal has become the most suitable for the transmission of messages. But in its electrical representation, the message cannot be transmitted effectively due to its lo作者: GIDDY 時(shí)間: 2025-3-27 18:10
Seock-Ho Kimt to learn about music programming with Arduino, sensors, and Pure Data, and how to make new interfaces and instruments with that knowledge...In this updated version, you can expect a wave of updates that bring the content in sync with the latest tech trends. The book now features revamped code and 作者: Fierce 時(shí)間: 2025-3-27 22:04
Hyunjoo Kim,Hans Friedrich K?hn,Chia-Yi Chiut to learn about music programming with Arduino, sensors, and Pure Data, and how to make new interfaces and instruments with that knowledge...In this updated version, you can expect a wave of updates that bring the content in sync with the latest tech trends. The book now features revamped code and 作者: Mendacious 時(shí)間: 2025-3-28 06:11
Shelley A. Blozis,Mark H. C. Laier, we present our experience of conducting a large-scale psychophysiological (i.e., studying the relationship between physiological and psychological processes) study using our web application, “UnnCyberpsy,” for data collection and processing. UnnCyberpsy was developed using the PHP programming en作者: Asseverate 時(shí)間: 2025-3-28 06:23
Anqi Li,Steven Andrew Culpepperospects of use of the proposed solutions. The relevance of this study is determined by the automation of the application of regulatory documentation, accelerating the development and saving money at the design stage of urban infrastructure, as well as the subsequent use of the proposed solutions. De作者: 全能 時(shí)間: 2025-3-28 11:05 作者: PET-scan 時(shí)間: 2025-3-28 17:43 作者: 接合 時(shí)間: 2025-3-28 21:27 作者: ANTI 時(shí)間: 2025-3-28 23:00 作者: 占線 時(shí)間: 2025-3-29 05:59
Dandan Tang,Xin Tongs to increase efficiency and competitive advantages open industry and manufacturing sectors to a modern and unusual solutions well known from completely different applications. In this article we will be focusing on a concept of time perspective in Extended Reality applications, and interactions wit作者: Aviary 時(shí)間: 2025-3-29 08:07
Elaine Ding,Adelle Pushparatnam,Jonathan Seiden,Estefania Aveda?o,Ezequiel Molina,Marie-Helene Clouts our understanding of the physical mechanisms behind medical interventions and opens the door to more effective and personalized clinical hyperthermia, which could lead to improved patient outcomes and advancements in medical management. The goal is to design and implement a Physics-Informed Neural作者: 重力 時(shí)間: 2025-3-29 14:20 作者: CYN 時(shí)間: 2025-3-29 16:46
Hanna Kim,Jee-Seon Kimock price chart plus stock volume chart. We first construct the stock chart with professional stock traders’ visual attention (SPSTV) dataset, which contains 150 stock charts images associated with eye-movement data from 10 professional stock traders. Based on the SPSTV dataset, the transfer learnin作者: Dawdle 時(shí)間: 2025-3-29 23:10 作者: 頌揚(yáng)國(guó)家 時(shí)間: 2025-3-30 03:35
Peter J. Johnson,Jay Verkuilenn. Existing event-to-image reconstruction (E2IR) methods mostly adopt supervised learning approaches. However, it’s hard to collect ground-truth images for real events. To tackle this challenge, we present a novel unsupervised E2IR method based on domain adaption (DA) in this paper. First, we design作者: 組裝 時(shí)間: 2025-3-30 07:19
Dongmei LiHR) version using an aligned HR color image as guidance. The effective utilization of the HR color image to guide the depth image super-resolution process is a critical consideration in algorithm design. In this paper, we propose a novel asymmetric channel-spatial fusion (ACSF) module to address thi作者: DEBT 時(shí)間: 2025-3-30 08:43
Ritesh K. Malaiyas a Coding Prior-driven JPEG Image Artifact Removal (dubbed CPIAR) method to improve the performance of JPEG image artifact removal. In the JPEG compression algorithm, because the algorithm divides the image into 8.8 blocks and then performs quantization operations, this will cause serious blocking 作者: 恫嚇 時(shí)間: 2025-3-30 12:23 作者: Isometric 時(shí)間: 2025-3-30 16:42
Jorge González,Marie Wibergthout any process, giving rise to the need for modulation of the message in its transmission. The present work presents the advantages of using modulation using a train of pulses as a carrier signal, with its respective restrictions in bandwidth, frequency, and noise.作者: biosphere 時(shí)間: 2025-3-30 22:28
Seock-Ho Kiminnovative neuralnet object for Pure Data, as showcased in the AIMC conference proceedings...You’ll start with the basics of the Pure Data and Arduino languages, how to incorporate sensors into your musical projects, and how to use embedded computers, like the Raspberry Pi, to create stand-alone pro作者: 延期 時(shí)間: 2025-3-31 04:25 作者: 不足的東西 時(shí)間: 2025-3-31 06:33
Shelley A. Blozis,Mark H. C. Laitically, and after the experiment is complete, all participant data is checked and saved. By utilizing UnnCyberpsy, we have significantly reduced data loss, increased participant turnout by 30%, and significantly increased the speed of data collection, which is now limited only by the number of pote作者: fructose 時(shí)間: 2025-3-31 11:18 作者: 微不足道 時(shí)間: 2025-3-31 15:01 作者: 吵鬧 時(shí)間: 2025-3-31 18:05 作者: fixed-joint 時(shí)間: 2025-3-31 22:32
Richard A. Feinbergrimentation with various pre-trained state-of-the-art CNN models were conducted on images captured from harbor environments in Karachi and Grand Canal in Venice. The dataset presented several challenges such as high-density traffic, occlusions, shadows, background infrastructure, wave motion, boat w
