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. Author manuscript; available in PMC: 2015 Sep 1.
Published in final edited form as: Intelligence. 2014 Sept-Oct;46:122–130. doi: 10.1016/j.intell.2014.05.009

Table 4.

Unstandardized coefficients (and 95% confidence intervals) for the model in Figure 1 in adults in four age groups

Age Group
18-to-39 40-to-59 60-to-69 70-to-89
Vocabulary Construct
  ➔ WAIS Vocabulary .92 (.87–.96) .93 (.89–.97) .70 (.65–.75) .69 (.64–.74)
  ➔ Picture Vocabulary .81 (.76–.85) .84 (.80–.88) .61 (.56–.66) .56 (.50–.62)
  ➔ Synonym Vocabulary .86 (.81–.90) .90 (.86–.94) .73 (.68–.77) .69 (.64–.74)
  ➔ Antonym Vocabulary .76 (.72–.80) .88 (.84–.92) .78 (.73–.83) .74 (.67–.80)
WAIS Vocabulary
  ➔ Version 1a 1.0 1.0 1.0 1.0
  ➔ Version 2 .62 (.59–.66) .66 (.63–.69) .74 (.69–.80) .76 (.67–.84)
  ➔ Version 3 .69 (.65–.73) .70 (.66–.74) .63 (.58–.69) .57 (.50–.63)
Picture Vocabulary
  ➔ Version 1a 1.0 1.0 1.0 1.0
  ➔ Version 2 .72 (.68–.76) .67 (.64–.70) .69 (.64–.74) .80 (.74–.87)
  ➔ Version 3 .67 (.61–.72) .71 (.67–.74) .70 (.64–.76) .87 (.79–.95)
Synonym Vocabulary
  ➔ Version 1a 1.0 1.0 1.0 1.0
  ➔ Version 2 .71 (.66–.76) .71 (.67–.75) .64 (.58–.69) .64 (.57–.71)
  ➔ Version 3 .56 (.51–.61) .60 (.56–.63) .73 (.68–.79) .76 (.68–.84)
Antonym Vocabulary
  ➔ Version 1a 1.0 1.0 1.0 1.0
  ➔ Version 2 .55 (.50–.59) .48 (.45–.51) .45 (.40–.50) .45 (.39–.51)
  ➔ Version 3 .61 (.56–.66) .59 (.55–.62) .61 (.56–.67) .63 (.55–.70)
Relations with Vocabulary Construct
 NAART .86 (.82–.91) .99 (.94–1.03) .79 (.74–.84) .70 (.65–.76)
 Memory Composite .46 (.42–.50) .51 (.47–.54) .38 (.33–.43) .37 (.31–.43)
 Speed Composite .28 (.24–.32) .28 (.25–.31) .25 (.20–.29) .29 (.24–.34)
 Reasoning Composite .54 (.50–.58) .60 (.57–.64) .53 (.49–.58) .52 (.46–.57)
 Space Composite .56 (.51–.60) .46 (.42–.49) .34 (.29–.38) .29 (.24–.33)
Chi-Square/df 4.53 6.02 3.08 3.60
CFI .97 .97 .97 .95
RMSEA .05 .05 .05 .06

Note:

a

This relation was fixed at 1.0 to provide a scale for the construct and therefore confidence intervals could not be computed. CFI refers to comparative fit index, and RMSEA refers to root mean squared error of approximation. CFI values greater than .90 and RMSEA values less than .08 are often considered to reflect good fit (Kline, 2005).