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We utilized latent change get (LCS) models ( McArdle, 2009) so you can anticipate alterations in SWB between T1 and you will T2 regarding social issues on T1. The 3 facets of SWB (lives fulfillment, PA, and you will NA) was basically expressed having a couple of parcels of situations for every (mode regarding the complete activities).
To evaluate aspect invariance within this and across the age groups, i performed relative fit list (CFI) improvement assessment, being more apt so you can place invariance versus conventionally made use of chi-square huge difference tests specifically with higher test products (Cheung Rensvold, 2002).
LCS decomposes the new score out-of good T2 variable with the T1 peak and you will ranging from T1 and you will T2. Which LCS sells every benefits of latent details, such as becoming free from dimensions mistake, and it will be regarding other factors from the model. To look at our very own chief hypotheses, i regressed improvement in the various elements of really-becoming with the T1 quantities of public things (? variables on model) also regulated each other standard and alter variables to own years, gender, spouse reputation, studies, and you will subjective and you may useful fitness (managing to own practical and subjective fitness on T2 in the model changed the road coefficients of interest simply marginally however, worsened the fresh new model match tremendously.