Output from calis1pow.sas	Source 0 Graphs

                    Power analysis: Lord's Vocabulary Data                   1
        Lord's data: H1- X1 and X2 parallel, Y1 and Y2 parallel, rho=1

         Covariance Structure Analysis: Maximum Likelihood Estimation

         Fit criterion . . . . . . . . . . . . . . . . . .     0.0576
         Goodness of Fit Index (GFI) . . . . . . . . . . .     0.9705
         GFI Adjusted for Degrees of Freedom (AGFI). . . .     0.9509
         Root Mean Square Residual (RMR) . . . . . . . . .     2.5430
         Parsimonious GFI (Mulaik, 1989) . . . . . . . . .     0.9705
         Chi-square = 37.3351       df = 6       Prob>chi**2 = 0.0001
         Null Model Chi-square:     df = 6                  1466.5884
         RMSEA Estimate  . . . . . .  0.0898  90%C.I.[0.0635, 0.1184]
         Probability of Close Fit  . . . . . . . . . . . .     0.0076
         ECVI Estimate . . . . . . .  0.0701  90%C.I.[0.0458, 0.1059]
         Bentler's Comparative Fit Index . . . . . . . . .     0.9785
         Normal Theory Reweighted LS Chi-square  . . . . .    39.3396
         Akaike's Information Criterion. . . . . . . . . .    25.3351
         Bozdogan's (1987) CAIC. . . . . . . . . . . . . .    -7.5175
         Schwarz's Bayesian Criterion. . . . . . . . . . .    -1.5175
         McDonald's (1989) Centrality. . . . . . . . . . .     0.9761
         Bentler & Bonett's (1980) Non-normed Index. . . .     0.9785
         Bentler & Bonett's (1980) NFI . . . . . . . . . .     0.9745
         James, Mulaik, & Brett (1982) Parsimonious NFI. .     0.9745
         Z-Test of Wilson & Hilferty (1931). . . . . . . .     4.5536
         Bollen (1986) Normed Index Rho1 . . . . . . . . .     0.9745
         Bollen (1988) Non-normed Index Delta2 . . . . . .     0.9785
         Hoelter's (1983) Critical N . . . . . . . . . . .        220

WARNING: The central parameter matrix _PHI_ has probably 1 zero eigenvalue(s).

                         Retrospective power analysis                        2
                       RMSEA values from data set ram1

              OBS     _NAME_     _ESTIM_     N     DF     RMSEAA

               1     RMSEAEST    0.08977    649     6    0.08977
               2     RMSEALOB    0.06349    649     6    0.06349
               3     RMSEAUPB    0.11839    649     6    0.11839

                         Retrospective power analysis                        3
              Power calculations for covariance structure models

             Model                            Null          Alt
          degrees of   Name of    Sample   hypothesis   hypothesis
  Alpha     freedom    Variable    size     fit value   fit valuue    Power

   0.05        6       RMSEAEST     649       0.05        0.08977    0.75385
                       RMSEALOB     649       0.05        0.06349    0.19282
                       RMSEAUPB     649       0.05        0.11839    0.99202

                         Retrospective power analysis                        4
              Power calculations for covariance structure models

                  Plot of POWER*N.  Symbol is value of DF.

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      -+----------------------------------+----------------------------------+
       0                                 649                              1298

                                     Sample size

                          Prospective power analysis                         5
              Power calculations for covariance structure models

                 Model                   Null           Alt
              degrees of    Sample    hypothesis    hypothesis
     Alpha      freedom      size      fit value    fit valuue     Power

      0.05         6           40        0.05          0.08       0.08438
                               40        0.05          0.10       0.12243
                               40        0.05          0.12       0.17575
                               60        0.05          0.08       0.10168
                               60        0.05          0.10       0.16214
                               60        0.05          0.12       0.24802
                               80        0.05          0.08       0.11883
                               80        0.05          0.10       0.20262
                               80        0.05          0.12       0.32093
                              100        0.05          0.08       0.13585
                              100        0.05          0.10       0.24333
                              100        0.05          0.12       0.39214
                              150        0.05          0.08       0.17793
                              150        0.05          0.10       0.34347
                              150        0.05          0.12       0.55361
                              200        0.05          0.08       0.21932
                              200        0.05          0.10       0.43791
                              200        0.05          0.12       0.68391
                              250        0.05          0.08       0.25989
                              250        0.05          0.10       0.52410
                              250        0.05          0.12       0.78247
                              300        0.05          0.08       0.29952
                              300        0.05          0.10       0.60091
                              300        0.05          0.12       0.85372
                              350        0.05          0.08       0.33808
                              350        0.05          0.10       0.66810
                              350        0.05          0.12       0.90351
                              400        0.05          0.08       0.37545
                              400        0.05          0.10       0.72599
                              400        0.05          0.12       0.93738

                          Prospective power analysis                         6
              Power calculations for covariance structure models

                Plot of POWER*N.  Symbol is value of RMSEAA.

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           ---+-------------+-------------+-------------+-------------+--
             40            140           240           340           440

                                     Sample size