First, this study used Stata 15.0 to analyze the means, standard deviations, and correlations among the variables of depression, anxiety, and student satisfaction among Chinese university students. Subsequently, the cross-lagged panel model (CLPM) was constructed using Mplus 8.3 to further explore ...
Random intercept cross-lagged panel modelLatent curve modelReciprocal relationsStructured residualsSmushed effectsLongitudinal structural equation modelingLongitudinal data can provide inferences at both the between-person and within-person levels of analysis, but only to the extent that the statistical models ...
Supplementary file I shows that the overall null-findings are not sensitive to accounting for reverse causation and dynamic effects using cross-lagged panel models with fixed effects. 5 Discussion The point of departure for this study was two conflicting discourses in education policy: a dominant ...
August 2019 1 / 48 Introduction xtdcce2 on SSC since August 2016 Described in The Stata Journal, Vol 18, Number 3, Ditzen (2018) and in Ditzen (2019). Setting: Dynamic panel model with heterogeneous slopes and an unobserved common factor (ft ) and a heterogeneous factor loading (γi ...
I specified a cross-lagged panel analysis in Mplus with four variables (x1 and y1 measured at T1 and x2 and y2 measured at T2) in the following way: x2 on x1 y1; y2 on x1 y1; x1 with y1; x2 with y2; When doing so I got a warning stating that my independent variables ...
Resilience in the year after cancer diagnosis: a cross-lagged panel analysis of the reciprocity between psychological distress and well-being. J Behav Med. 2014;37(3):391–401. https://doi.org/10.1007/s10865-013-9497-6. Article PubMed Google Scholar Dedeli Ö, Fadıloğlu Ç, ...
Revisiting the pollution haven hypothesis in ASEAN-5 countries: new insights from panel data analysis Article14 March 2020 Do anthropogenic and natural factors elevate the haze pollution in the South Asian countries? Evidence from long-term cointegration and VECM causality estimation ...
tsset timevar declares the data in memory to be a time series. This allows you to use Stata's time-series operators and to analyze your data with the ts commands. tsset panelvar timevar declares the data to be panel data, also known as cross-sectional time-series data, which contain ...
19 We used an enhanced version of the CPS that included harmonized measures from all basic monthly surveys, allowing us to identify changes in employment status for the same person across consecutive months.20 The panel nature of the basic monthly data has been largely untapped for the purposes ...
sectionalseriestimeanalysisstatatsset TimeSeries,CrossSectionalAnalysis NoteonARIMAmodelsinStata.WhenStataestimatesandAR-1modelwithno covariates,forinstance,itdoesnotjustputthelaggeddependentvariableontherighthand side.Instead,itusesFGLStoputrhotimesthelagontherighthandside.Notetheslight differencebetweenthesetwomodel...