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. 2022 Aug 29;30(5):1688–1715. doi: 10.1177/10731911221119533

Table 5.

Scalar Invariance Alignment Findings for Loadings Averaged Across the 100 Datasets.

Structure and items Percentage of approximate non-invariance across the 100 datasets Average % of non-invariance Weighted average loading across invariant groups R 2
18–25 26–35 36–45 46–55 56–65 66–75 76+ M SD M SD
UCLA-LS-4 Russell et al. (1980) 0.07%
 1 0 0 0 0 0 1 0 0.41 0.01 0.40 0.22
 13 0 0 0 0 0 0 0 0.70 0.01 0.57 0.22
 15 0 0 0 0 1 0 0 0.50 0.01 0.03 0.07
 18 0 0 0 0 0 0 0 0.67 0.01 0.31 0.28
UCLA-LS-8 Hays & DiMatteo (1987) 0.05%
 2 0 0 0 0 0 0 0 0.62 0.01 0.53 0.10
 3 0 0 0 0 0 0 0 0.65 0.01 0.58 0.19
 9 0 0 0 0 0 2 0 0.33 0.01 0.27 0.17
 11 0 0 0 0 0 0 0 0.57 0.01 0.43 0.27
 14 0 0 0 0 0 1 0 0.75 0.01 0.32 0.27
 15 0 0 0 0 0 0 0 0.48 0.01 0.45 0.23
 17 0 0 0 0 0 0 0 0.63 0.01 0.46 0.19
 18 0 0 0 0 0 0 0 0.60 0.01 0.02 0.07
 15 0 0 0 0 0 0 0 0.53 0.01 0.37 0.25
UCLA-LS-8 Roberts et al. (1993) 5.8%
 1 0 0 0 0 0 1 0 0.36 0.01 0.07 0.09
 2 1 0 0 0 0 4 0 0.64 0.01 0.26 0.14
 4 86 54 19 4 20 35 97 0.30 0.08 0.00 0.01
 5 0 0 0 0 0 0 0 0.56 0.01 0.33 0.23
 7 0 0 0 1 0 0 1 0.70 0.01 0.35 0.20
 11 0 0 0 0 0 0 0 0.57 0.01 0.42 0.26
 14 0 0 0 0 0 1 0 0.76 0.01 0.38 0.23
 15 0 0 0 0 0 0 0 0.53 0.01 0.37 0.25
UCLA-LS-9 Hawkley et al. (2005)
 F1: 2 0 0 0 0 0 0 0 0% 0.57 0.01 0.62 0.09
 11 0 0 0 0 0 0 0 0.57 0.00 0.80 0.15
 14 0 0 0 0 0 0 0 0.78 0.01 0.02 0.07
 F3: 1 0 0 0 0 0 0 0 0% 0.42 0.01 0.39 0.19
 5 0 0 0 0 0 0 0 0.66 0.01 0.26 0.26
 6 0 0 0 0 0 0 0 0.69 0.01 0.33 0.30
UCLA-LS-10 Knight et al. (1988) Version 1 – two-factor 4% a
 F1: 1 0 0 0 0 0 0 0 0.43 0.01 0.55 0.21
 4 98 34 14 6 6 27 93 0.29 0.07 0.08 0.03
 6 0 0 0 0 0 0 0 0.56 0.01 0.26 0.23
 16 0 0 0 0 0 0 0 0.62 0.01 0.40 0.33
 19 0 0 0 0 0 0 0 0.55 0.01 0.50 0.27
 F2: 2 0 0 0 0 0 0 0 0.58 0.01 0.52 0.11
 7 0 0 0 0 0 0 0 0.71 0.01 0.51 0.24
 8 0 4 0 0 0 0 0 0.46 0.01 0.06 0.13
 11 0 0 0 0 0 0 1 0.51 0.01 0.44 0.22
 18 0 0 0 0 0 0 0 0.61 0.01 0.09 0.17
UCLA-LS-10 Knight et al. (1988) Version 2 – two-factor 0.16%
 F1: 3 1 0 0 0 0 0 0 0.73 0.27 0.52 0.28
 12 1 0 0 0 0 0 0 0.52 0.19 0.43 0.27
 13 1 0 0 0 0 0 0 0.70 0.25 0.05 0.11
 14 1 0 0 0 0 0 0 0.76 0.28 0.51 0.24
 17 1 0 0 0 0 0 0 0.60 0.23 0.31 0.14
 F2: 5 1 0 0 0 0 0 0 0.63 0.22 0.36 0.26
 9 1 0 0 0 0 0 0 0.41 0.14 0.34 0.22
 10 1 0 0 0 0 0 0 0.49 0.17 0.42 0.24
 15 1 0 0 0 0 0 1 0.58 0.20 0.37 0.25
 20 1 0 0 0 0 0 0 0.59 0.20 0.18 0.20

Note. Versions that achieved full measurement invariance (UCLA-LS9 and its factor 2) are not presented here, as they did not receive alignment testing. UCLA-LS-4 = University of California Los Angeles, Loneliness Scale-4-item measures; UCLA-LS-8 = University of California Los Angeles, Loneliness Scale-8-item measures; UCLA-LS-9 = University of California Los Angeles, Loneliness Scale-9-item measures; UCLA-LS-10 = University of California Los Angeles, Loneliness Scale-10-item measures.

a

Formula used to calculate the average % of non-invariance: 283 non-invariant parameters across the 100 datasets/7,000 calculated parameters*100.