Table 2.
Lead author, published year | Country | N | Factor model | Goodness-of-fit | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | χ2 | df | χ2/df | AGFI | RMSEA | CFI | PCFI | TLI | SRMR | kAIC | |||
Previous studies | |||||||||||||||
Cox, 1987 | UK | 63 | 1–10 | 122,849 | 70 | 1,755 | 0.774 | 0.149 | 0.766 | 0.596 | 0.700 | 0.083 | 1,834 | ||
Berle, 2003 | NOR | 411 | |||||||||||||
Gollan, 2017 | USA | 15,172 | 1, 2, 6–10 | 58,964 | 28 | 2,106 | 0.807 | 0.163 | 0.813 | 0.542 | 0.719 | 0.075 | 878 | ||
Astbury, 1994 | AUS | 790 | 3–5 | 1, 2, 6–10 | 83,988 | 68 | 1,235 | 0.845 | 0.125 | 0.840 | 0.635 | 0.789 | 0.070 | 1,795 | |
Matthey, 2008 | AUS | 238 | |||||||||||||
Phillips, 2009 | AUS | 167 | |||||||||||||
Swalm, 2010, ante- and post-partum | AUS | 4,706 | 3–5 | 1, 2, 10 | 18,227 | 16 | 1,139 | 0.908 | 0.120 | 0.932 | 0.497 | 0.873 | 0.083 | 1,118 | |
Bina and Harrington, 2015 | ISR | 715 | 3–5 | 1, 2, 7–10 | 74,454 | 52 | 1,432 | 0.841 | 0.134 | 0.849 | 0.613 | 0.791 | 0.070 | 1,540 | |
Cunningham, 2015, on admissions | AUS | 571 | 3–5 | 1–3, 6–10 | 89,445 | 68 | 1,315 | 0.831 | 0.129 | 0.830 | 0.627 | 0.775 | 0.073 | 1,801 | |
Cunningham, 2015, on discharged | AUS | 543 | 3–6 | 6–10 | 1, 2 | 24,988 | 64 | 390 | 0.943 | 0.070 | 0.953 | 0.677 | 0.933 | 0.039 | 1,736 |
Chabrol, 2004 | FRN | 293 | 3–7 | 8–10 | 1, 2 | 58,560 | 65 | 901 | 0.873 | 0.107 | 0.889 | 0.642 | 0.846 | 0.081 | 1,770 |
Small, 2007 | AUS | 1,168 | 3–7 | 9, 10 | 1, 2, 8 | 103,127 | 64 | 1,611 | 0.797 | 0.143 | 0.804 | 0.572 | 0.724 | 0.082 | 1,815 |
Bowen, 2008a | CAN | 402 | 3–5 | 10 | 1, 2, 8 | 51,766 | 22 | 2,353 | 0.784 | 0.172 | 0.851 | 0.446 | 0.716 | 0.095 | 1,348 |
Tuohy and McVey, 2008 | UK | 440 | 3–5 | 7–10 | 1, 2 | 20,300 | 48 | 423 | 0.945 | 0.073 | 0.959 | 0.639 | 0.938 | 0.037 | 1,486 |
Kwan, 2015 | SGP | 920 | |||||||||||||
King, 2012 | USA | 169 | |||||||||||||
Reichenheim, 2011 | BRA | 811 | 3–5 | 7–10 | 1, 2, 6 | 38,341 | 64 | 599 | 0.915 | 0.087 | 0.927 | 0.659 | 0.898 | 0.069 | 1,750 |
Kubota, 2014 | JPN | 690 | 3–5 | 7–9 | 1, 2 | 17,987 | 34 | 529 | 0.937 | 0.082 | 0.958 | 0.582 | 0.932 | 0.038 | 1,348 |
Takehara, 2018 | JPN | 1,311 | |||||||||||||
Chiu, 2017 | USA | 515 | 3–6 | 7–9 | 1, 2 | 22,573 | 48 | 470 | 0.939 | 0.077 | 0.952 | 0.634 | 0.927 | 0.041 | 1,598 |
Coates, 2017 | UK | 12,166 | 3–6 | 7–10 | 1, 2 | 24,917 | 64 | 389 | 0.945 | 0.070 | 0.953 | 0.677 | 0.934 | 0.040 | 1,736 |
Pop, 1992 | NED | 293 | |||||||||||||
Kozinsky, 2017, antepartum | HUN | 2,967 | 4, 5 | 8, 9 | 1, 2 | 3,592 | 12 | 299 | 0.973 | 0.061 | 0.988 | 0.395 | 0.971 | 0.022 | 909 |
Kozinsky, 2017, postpartum | HUN | 714 | 4, 5 | 3, 6, 10 | 1, 2 | 10,528 | 22 | 479 | 0.951 | 0.078 | 0.965 | 0.505 | 0.933 | 0.039 | 1,357 |
Flom, 2018 | MEX | 628 | 4–6 | 3, 7–9 | 1, 2 | 43,164 | 48 | 899 | 0.885 | 0.106 | 0.907 | 0.605 | 0.861 | 0.059 | 1,619 |
Current study | |||||||||||||||
3-factor | JPN | 91,063 | 3–6 | 7, 9, 10 | 1, 2 | 11,145 | 48 | 232 | 0.972 | 0.054 | 0.974 | 0.649 | 0.961 | 0.033 | 1,546 |
2-factor | JPN | 91,063 | 3–10 | 1, 2 | 64,977 | 68 | 956 | 0.853 | 0.110 | 0.876 | 0.662 | 0.837 | 0.061 | 1,776 | |
1-factor | JPN | 91,063 | 1–10 | 122,849 | 70 | 1,755 | 0.774 | 0.149 | 0.766 | 0.596 | 0.700 | 0.083 | 1,834 | ||
Recommended | Lower | Lower | ≥ 0.95 | ≤ 0.06 | ≥ 0.95 | Higher | ≥ 0.95 | ≤ 0.08 | Lower |
df degree of freedom, AGFI adjusted goodness-of-fit index, RMSEA root mean square error of estimation, CFI comparative fit index, PCFI parsimonious CFI, TLI Tucker–Lewis index, SRMR standardised root mean square residual, kAIC Akaike information criterion/1,000.
aNegative error variance appeared in item 10.