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31.
Nickola C. Overall Chloe Howard Danny Osborne Paula R. Pietromonaco Nicole Satherley Chris G. Sibley 《Social and Personality Psychology Compass》2023,17(7):e12747
The COVID-19 pandemic produced multiple stressors that risk relationship conflict and dissatisfaction. We extended prior studies that yielded inconsistent effects of the pandemic on relationships by using propensity score matching to (1) compare levels of relationship conflict and satisfaction during the pandemic (pandemic group; N = 7268) to similar people immediately before the pandemic (matched control group; N = 7268), and (2) compare pandemic groups facing different types of restrictions, beginning with lockdowns involving household isolation to returning to normal life. Results reveal that relationship conflict increased and relationship satisfaction decreased in response to the pandemic, but these effects were very small and primarily occurred in the initial stages of the pandemic when lockdown involved household isolation. The results add to evidence of resilience in personal and relationship well-being in 2020, but also indicate the importance of understanding the effects of varying pandemic-related conditions across the years of the pandemic. 相似文献
32.
Takahiro Hoshino 《Psychometrika》2007,72(4):535-549
Due to the difficulty in achieving a random assignment, a quasi-experimental or observational study design is frequently used
in the behavioral and social sciences. If a nonrandom assignment depends on the covariates, multiple group structural equation
modeling, that includes the regression function of the dependent variables on the covariates that determine the assignment,
can provide reasonable estimates under the condition of correct specification of the regression function. However, it is usually
difficult to specify the correct regression function because the dimensions of the dependent variables and covariates are
typically large. Therefore, the propensity score adjustment methods have been proposed, since they do not require the specification
of the regression function and have been applied to several applied studies. However, these methods produce biased estimates
if the assignment mechanism is incorrectly specified. In order to make a more robust inference, it would be more useful to
develop an estimation method that integrates the regression approach with the propensity score methodology. In this study
we propose a doubly robust-type estimation method for marginal multiple group structural equation modeling. This method provides a consistent estimator
if either the regression function or the assignment mechanism is correctly specified. A simulation study indicates that the
proposed estimation method is more robust than the existing methods.
This research was partially supported by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Young Scientists
(B), 187-30406. 相似文献
33.
34.
Yang Liu David Thissen 《The British journal of mathematical and statistical psychology》2014,67(3):496-513
Score tests for identifying locally dependent item pairs have been proposed for binary item response models. In this article, both the bifactor and the threshold shift score tests are generalized to the graded response model. For the bifactor test, the generalization is straightforward; it adds one secondary dimension associated only with one pair of items. For the threshold shift test, however, multiple generalizations are possible: in particular, conditional, uniform, and linear shift tests are discussed in this article. Simulation studies show that all of the score tests have accurate Type I error rates given large enough samples, although their small‐sample behaviour is not as good as that of Pearson's Χ2 and M2 as proposed in other studies for the purpose of local dependence (LD) detection. All score tests have the highest power to detect the LD which is consistent with their parametric form, and in this case they are uniformly more powerful than Χ2 and M2; even wrongly specified score tests are more powerful than Χ2 and M2 in most conditions. An example using empirical data is provided for illustration. 相似文献
35.
Shahab Jolani Laurence E. Frank Stef van Buuren 《The British journal of mathematical and statistical psychology》2014,67(2):197-212
Missing values are a practical issue in the analysis of longitudinal data. Multiple imputation (MI) is a well‐known likelihood‐based method that has optimal properties in terms of efficiency and consistency if the imputation model is correctly specified. Doubly robust (DR) weighing‐based methods protect against misspecification bias if one of the models, but not necessarily both, for the data or the mechanism leading to missing data is correct. We propose a new imputation method that captures the simplicity of MI and protection from the DR method. This method integrates MI and DR to protect against misspecification of the imputation model under a missing at random assumption. Our method avoids analytical complications of missing data particularly in multivariate settings, and is easy to implement in standard statistical packages. Moreover, the proposed method works very well with an intermittent pattern of missingness when other DR methods can not be used. Simulation experiments show that the proposed approach achieves improved performance when one of the models is correct. The method is applied to data from the fireworks disaster study, a randomized clinical trial comparing therapies in disaster‐exposed children. We conclude that the new method increases the robustness of imputations. 相似文献
36.
为了探讨血清胆固醇(CHO)、D-二聚体、纤维蛋白降解产物(FDP)与肝硬化Child-Pugh分级的关系,选取73例肝硬化患者按Child-pugh评分分为A、B、C级,与30例健康对照组比较,肝硬化组CHO显著降低,D-二聚体和FDP显著升高,且A级与B级、B级与C级之间均有差异。因此,联合检测肝硬化患者CHO、D-二聚体、FDP含量,对肝脏受损的严重程度、肝病的疗效观察及预后具有重要的临床意义。 相似文献
37.
In this article, we investigate the creation of comparable score scales across countries in international assessments. We examine potential improvements to current score scale calibration procedures used in international large-scale assessments. Our approach seeks to improve fairness in scoring international large-scale assessments, which often ignore item misfit in score scale calibrations. We also seek to obtain improved model-data fit estimates when calibrating international score scales. To this end, we examine the use of two alternative score scale calibration procedures: (a) a language-based score scale and (b) a more parsimonious international scale wherein a large proportion of international parameters are used with a subset of country-based parameters for items that misfit in the international scale. In our analyses, we used data from all 40 countries participating in the Progress in International Reading Literacy Study. Our findings revealed that current score scale calibration procedures yield large numbers of misfitting items (higher than 25% for some countries). Our proposed approach diminished the effects of proportion of item misfit on score scale calibrations and also yielded enhanced model-data fit estimates. These results lead to enhancing confidence in measurements obtained from international large-scale assessments. 相似文献
38.
HyeSun Lee 《International Journal of Testing》2014,14(4):313-338
Differential item functioning (DIF) analysis is important in terms of test fairness. While DIF analyses have mainly been conducted with manifest grouping variables, such as gender or race/ethnicity, it has been recently claimed that not only the grouping variables but also contextual variables pertaining to examinees should be considered in DIF analyses. This study adopted propensity scores to incorporate the contextual variables into the gender DIF analysis. In this study, propensity scores were used to control for the contextual variables that potentially affect the gender DIF. Subsequent DIF analyses with the Mantel-Haenszel (MH) procedure and the Logistic Regression (LR) model were run with the propensity score applied reference (males) and focal groups (females) through propensity score matching. The propensity score embedded MH model and LR model detected fewer number of gender DIF than the conventional MH and LR models. The propensity score embedded models, as a confirmatory approach in DIF analysis, could contribute to hypothesizing an inference on the potential cause of DIF. Also, salient advantages of propensity score embedded DIF analysis models are discussed. 相似文献
39.
40.
Florina Erbeli Qinxin Shi Aaron R. Campbell Sara A. Hart Steven Woltering 《Developmental science》2021,24(1)
Reading and math attainment develop during elementary grades. Questions remain, though, about the co‐developmental nature of the relation between reading and math. This study examined dynamic, longitudinal pathways between reading and math in first through fourth grades. Participants of the study were 554 academically at‐risk children (Mage at the first assessment point = 6.57 years; SD = 0.38) from Texas Project Achieve. Children were assessed utilizing the Woodcock‐Johnson–III reading and math measures. Results from dynamic bivariate latent change score models indicated unidirectional longitudinal coupling effects from reading to math. Specifically, average and high levels of reading performance were associated with subsequent gains in math growth, in particular for below average performing children in math. In contrast, low levels of reading performance had negligible or no amplifying influences on change in math growth. The nature of the dynamics was replicated even when controlling for nonverbal cognitive abilities. Results demonstrated that good reading skills pave the way for children to develop their math skills. Such findings underscore the importance of considering reading performance in treating math difficulties. 相似文献