趋急:AMOS7建模实例问题
<P>我想用AMOS7建立产业结构(InduS)和就业结构(JobS)的SEM,但得不到正确的参数,请指教。</P> <P>数据为EXCEL类型,中国地级城市数据。可在http://ctbusun.gbaopan.com/MyFiles.aspx 下载CHINA2.XLS</P> <P>InudS下有GDP1 GDP2 GDP3三个可测定变量</P> <P>Jobs下有L1 L2 L3三个可测定变量。</P> <P>结构所图:</P> <img src="http://398.edu.pinggu.com/attachments/uploadfile_20082009/2007-7/200772722484032523.bmp"> <BR> 把数据直接贴这里不更加方便么? <COLGROUP> <COL style="WIDTH: 54pt" span=7 width=72> <COL style="WIDTH: 59pt; mso-width-source: userset; mso-width-alt: 2496" width=78> GDP1 GDP2 GDP3 L1 L2 L3 JP AW 2304811 7943513 6087903 4800 367140 500900 24.66765 13602.16 2133751 9149757 4979836 34300 362300 318200 31.85667 14077.9 474302.7 1874085 2186055 3000 102700 177800 24.64574 15840.34 1250217 4883805 3230897 4900 282600 299900 33.78386 11928.62 1126878 3625967 1602925 3900 114000 212300 23.69063 11715.8 1779628 5441083 3886964 4100 245800 378000 24.5542 11875.71 582157.4 1946526 1472398 6800 150000 204700 27.0139 12342.82 549224.7 1491955 964675.5 7900 72500 148200 27.46606 12917.6 1237811 3884512 2618833 12700 131200 246600 25.83355 11209.72 926553.6 3254429 1867018 2000 64100 173400 21.43369 12813.54 841477 2514481 1382088 1900 62900 152800 31.0724 10757.61 1530174 9832352 8253133 15800 441700 438600 28.69173 19717.82 505012 5955520 3599468 8200 228000 168000 22.99989 15396.15 270001.2 2263510 1216505 8100 176900 117000 20.43578 13913.34 180566.6 1741661 1013816 2600 150500 91300 23.35181 14633.14 477882 1134716 1292460 3300 74500 114700 19.11998 12235.65 873241.2 1328219 1229743 25700 101600 160100 24.8702 12202.07 367991 1701162 1114160 1900 59000 105400 16.57035 12584.38 301288.1 498333.1 471636.7 5000 90600 85400 21.01719 11292.58 220124 1589301 1091050 4500 99800 78500 23.36401 13890.68 418105.8 2527070 741824.4 175700 158200 96000 67.3086 12129 576008 896636.6 687925.5 16800 99200 112800 24.09436 11431.83 408546.3 612055.5 507398 8200 81100 128700 24.37933 10399.71 426539.3 1484087 1022932 4700 130900 99000 29.1501 11588.36 517000 13536000 9447000 4700 270300 252300 18.87326 22105.09 1537407 5424210 3996383 17100 235700 341200 19.63312 15808.57 512884.3 6477090 4017227 2300 182900 170400 22.24446 19984.23 <COLGROUP> <COL style="WIDTH: 54pt" span=7 width=72> <COL style="WIDTH: 59pt; mso-width-source: userset; mso-width-alt: 2496" width=78> 769350 22680300 11050350 8800 593700 305800 30.51878 22510.32 1488439 6641577 4130603 15000 278700 244400 22.36306 15903.7 885597.7 1882780 1394806 22000 90800 166300 16.18065 12714.62 1118666 2358066 1532968 22400 124600 188600 23.44394 12711.02 1990186 3912406 2811007 39800 179100 260200 16.61119 11951.14 797587.6 4198369 2884556 3600 172300 171100 20.06244 15733.36 341366.9 4605719 2864514 6200 139900 160400 27.68994 17382.93 827199.6 3805259 2420246 5200 144400 171900 23.72344 13192.02 961465.4 1417532 976902.5 8600 55900 102100 8.400565 13910.02 1234398 12302973 8043007 2000 389400 320100 40.38254 25823.13 647988.5 7961002 5416735 1400 493400 292200 53.12184 19576.24 778462.3 6350613 3376488 2600 302700 155700 42.51983 20700.97 647989.8 3236995 2021941 700 99900 100300 26.30614 22024.66 922333.5 7867426 4348894 1100 308700 175100 40.02807 21579.85 649642.4 5511198 3621952 1900 141200 178800 33.20268 23261.96 456286.1 1396667 984363.4 1700 63900 74400 33.05785 22501.65 382094.5 913040.4 825256.2 200 42200 67200 31.63972 22250.33 967206.5 6859654 3911083 6100 168900 202900 39.08367 24881.9 411669.4 1240035 993985.7 4000 37700 93100 33.21833 22917.46 456245.2 1560920 1067657 1000 159400 90300 42.8987 12652.4 872707.7 1656716 1229007 6400 90500 119400 25.03762 15052.92 963385.9 8575898 6492035 4600 683800 217900 47.94223 14464.48 1427917 2902168 2690156 29800 174000 139000 26.63145 11964.81 832227.6 1117572 1267161 8000 79500 126800 21.03868 12167.26 754327.5 1544625 1193304 6100 86900 116000 24.88095 14806.54 769202.3 1130780 1190425 2100 41100 112700 17.728 13957.16 1618522 11714813 8306828 6600 730900 421100 33.01231 17263.76 540391.4 7969235 3799974 4800 293100 179700 25.90724 15083.33 <COLGROUP> <COL style="WIDTH: 54pt" span=7 width=72> <COL style="WIDTH: 59pt; 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mso-width-source: userset; mso-width-alt: 2496" width=78> 904392.5 1441053 1210954 12600 76000 126000 23.42795 10062.15 1060653 685948.6 886598.4 6200 64500 188400 25.36714 9727.38 1250181 683287.2 857737.6 11100 84300 151500 34.10221 10572.18 735076.9 1226208 985209.3 8500 54700 106200 20.48368 11471.99 800302.2 877244.6 853453.2 10300 63500 144200 22.11402 10216.04 891607.7 593506.5 761539.4 2500 37700 115900 28.88067 9706.6 244187.6 364155.7 315909.7 3600 19000 47000 27.48815 12015.06 500777.5 1019701 835886 9400 45100 75600 28.23964 12797.97 140355.1 890512.1 620534.9 9700 77200 64500 25.52689 10889.58 194643.2 1024292 506797 2400 61300 65600 23.19699 12334 591511.6 1732080 1244029 15500 144100 175400 27.00959 10618.69 181034 737402 421564 217700 205200 164700 152.8616 13282.89 156609.1 473682.1 333360.4 12100 36000 37900 26.90022 12929.42 1139914 1327777 1512058 10400 117200 220000 20.6794 9997.43 771809.1 890567.6 766466.2 17300 56300 139700 20.96108 9858.92 885631.6 1114929 894606.6 11400 79300 150900 18.36983 10918.54 640092.4 860806.9 540862.8 14300 64100 128000 20.83375 8732.58 646991.5 1235275 1128396 40500 76600 174300 23.29523 10362.5 971533.1 1304482 1181744 3300 97300 201800 32.02711 8657.39 887094 5318038 2846848 4000 234700 280400 29.82134 13030.57 605601.7 2732490 1360137 1900 249400 197900 37.75107 12088.58 799484.5 2619065 1216143 3100 221100 190500 36.0546 11987.21 314246.8 838929.6 410240.6 2200 90100 62200 33.17586 10327.68 789183.6 2315862 1510525 6200 168900 247200 18.84847 9513.51 525426.3 2726930 1305135 4500 163600 147000 30.41799 10962.79 544065.8 1878519 751661.5 2200 175100 127100 44.37965 13355.05 887726 3060875 1210113 2800 103300 158200 27.94164 9709.7 510196.5 1680154 605246.8 1400 81500 108200 31.13899 8601.18 287835.1 1581445 877237.8 2200 127900 105700 35.62472 11298.23 2530780 4305810 2097519 15500 253400 383400 40.49541 10393.07 1601355 1743121 1213894 3400 102100 281000 26.35886 8858.69 1355353 1690609 1296727 11100 111200 272100 30.75483 8837.47 1859822 2133863 1226136 14600 118500 321700 37.39517 7202.72 1570660 1740967 1146676 7700 81700 255000 35.33395 8552.79 791180.3 3308947 1787220 13800 187100 180100 29.95283 10635.77 188895.5 741248.2 489056.3 2000 84200 60600 47.32431 9190.7 776377 1739069 1279163 36900 80900 105400 26.52091 10453.15 894887.6 1594173 1323839 24300 171200 167000 38.4167 8764.61 1090101 1831455 1378644 56400 129200 223500 24.90715 9263.44 1084881 1945348 1293728 22400 83900 226000 19.41118 8348.65 453460 965140 631400 6700 71100 104100 23.72506 9171.26 491486.8 879971.9 525441.3 11800 35500 73300 23.19231 8835.65 653376.8 2213065 1658328 4300 141800 137700 28.6031 14907.17 516143.3 1436283 1375384 700 120500 101200 27.25824 13613.6 1360313 1948029 2113392 5600 157100 247400 18.0629 12015.33 1033076 986623.3 1346466 13000 92600 192300 23.832 10982.48 1181798 2670556 2050732 36700 100100 186200 26.69642 12275.12 1469498 2373131 1991027 5000 57300 168600 16.14911 14124.45 182190.6 260121.3 518609.1 3000 15200 57800 28.15858 13802.5 761457.6 839327.4 1272640 5600 44900 144100 24.38596 11983.68 775153.8 1653029 1522652 5500 89900 162900 16.47952 13813.61 946505.8 935031.1 1396973 9600 61600 176200 29.52972 11555.22 658756.4 865819.1 1387699 6500 61600 165000 24.8428 11872.11 542698 1200830 928545.4 2800 97600 141000 29.2677 13009.89 共253个样本 <p>首先你要确定的是:你觉得这个问题能建立结构方程吗?GDP1,GDP2,GDP3都是在测量InudS因子,即它们都受一个公共的因子InudS影响?</p><p>接着你放数据之前,最好把数据标准化!<br/></p>页:
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