Tagged "open data"

function recalculate_df() { var nind = parseInt(document.getElementById('num1').value); var nlat = parseInt(document.getElementById('num2').value); var ncross = parseInt(document.getElementById('num3').value); var northo = parseInt(document.getElementById('num4').value); var nres = parseInt(document.getElementById('num5').value); var ngroup = parseInt(document.getElementById('num6').value); var answer1 = document.getElementById('df_conf'); var answer2 = document.getElementById('df_metr'); var answer3 = document.getElementById('df_scal'); var answer4 = document.getElementById('df_resi'); var answer5 = document.getElementById('df_stri'); var answer6 = document.getElementById('delta_1'); var answer7 = document.getElementById('delta_2'); var answer8 = document.getElementById('delta_3'); var answer9 = document.getElementById('delta_4'); obs = ((nind*(nind+1)/2) + nind) * ngroup ; est = ((2*nind + (nind + ncross) + ((nlat-northo)*((nlat-northo)-1)/2)) + nres) * ngroup ; answer1.

I had the great chance to co-author two recent publications of Timo Gnambs, both dealing with the Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1965). As a reminder, the RSES is a popular ten item self-report instrument measuring a respondent’s global self-worth and self-respect. But basically both papers are not about the RSES per se, rather they are applications of two recently introduced powerful and flexible extensions of the Structural Equation Modeling (SEM) Framework: Meta-Analytic Structural Equation Modeling (MASEM) and Local Weighted Structural Equation Modeling (LSEM), which will be described in more detail later on.