1 dnl PSPP - a program for statistical analysis.
2 dnl Copyright (C) 2017 Free Software Foundation, Inc.
4 dnl This program is free software: you can redistribute it and/or modify
5 dnl it under the terms of the GNU General Public License as published by
6 dnl the Free Software Foundation, either version 3 of the License, or
7 dnl (at your option) any later version.
9 dnl This program is distributed in the hope that it will be useful,
10 dnl but WITHOUT ANY WARRANTY; without even the implied warranty of
11 dnl MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 dnl GNU General Public License for more details.
14 dnl You should have received a copy of the GNU General Public License
15 dnl along with this program. If not, see <http://www.gnu.org/licenses/>.
17 AT_BANNER([FACTOR procedure])
19 AT_SETUP([FACTOR extraction=paf method=correlation])
20 dnl This example is based on data from http://www.ats.ucla.edu/stat/Spss/output/factor1.htm
25 data list notable fixed /question13 to question24 1-12.
1459 question13 question14 question15 question16 question17 question18 question19 question20 question21 question22 question23 question24 (0).
1462 /variables question13 question14 question15 question16 question17 question18 question19 question20 question21 question22 question23 question24
1464 /print univariate det correlation
1467 /criteria factors(3)
1469 /method = correlation.
1472 AT_CHECK([pspp -O format=csv factor.sps], [0],
1473 [Table: Descriptive Statistics
1474 ,Mean,Std. Deviation,Analysis N
1475 question13,4.462,.729,1365
1476 question14,4.525,.700,1365
1477 question15,4.445,.732,1365
1478 question16,4.281,.829,1365
1479 question17,4.166,.895,1365
1480 question18,3.930,1.034,1365
1481 question19,4.077,.963,1365
1482 question20,3.777,.909,1365
1483 question21,3.774,.984,1365
1484 question22,3.607,1.116,1365
1485 question23,3.813,.957,1365
1486 question24,3.666,.926,1365
1488 Table: Correlation Matrix
1489 ,,question13,question14,question15,question16,question17,question18,question19,question20,question21,question22,question23,question24
1490 Correlation,question13,1.000,.661,.600,.566,.577,.409,.286,.304,.476,.333,.564,.454
1491 ,question14,.661,1.000,.635,.500,.552,.433,.320,.315,.449,.333,.565,.443
1492 ,question15,.600,.635,1.000,.505,.587,.457,.359,.356,.509,.369,.582,.435
1493 ,question16,.566,.500,.505,1.000,.586,.405,.335,.317,.452,.363,.459,.430
1494 ,question17,.577,.552,.587,.586,1.000,.555,.449,.417,.595,.450,.613,.521
1495 ,question18,.409,.433,.457,.405,.555,1.000,.627,.521,.554,.536,.569,.474
1496 ,question19,.286,.320,.359,.335,.449,.627,1.000,.446,.499,.484,.444,.374
1497 ,question20,.304,.315,.356,.317,.417,.521,.446,1.000,.425,.383,.410,.357
1498 ,question21,.476,.449,.509,.452,.595,.554,.499,.425,1.000,.507,.598,.500
1499 ,question22,.333,.333,.369,.363,.450,.536,.484,.383,.507,1.000,.493,.444
1500 ,question23,.564,.565,.582,.459,.613,.569,.444,.410,.598,.493,1.000,.705
1501 ,question24,.454,.443,.435,.430,.521,.474,.374,.357,.500,.444,.705,1.000
1502 Caption: Determinant: 0.00
1504 Table: Factor Matrix
1507 question13,.713,.398,
1508 question14,.703,.339,
1512 question18,.740,-.345,
1513 question19,.616,-.415,
1517 question23,.819,,.345
1518 question24,.695,,.386
1520 Table: Rotated Factor Matrix
1527 question17,.587,.446,
1531 question21,.402,.533,.321
1533 question23,.449,.377,.668
1534 question24,.324,.321,.652
1539 AT_SETUP([FACTOR extraction=pc method=correlation])
1540 dnl This example is from http://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm
1542 AT_DATA([factor2.sps],
1543 [set format = F11.3.
1546 data list notable list /id female race ses schtyp prog read write math science socst.
1548 70.00 .00 4.00 1.00 1.00 1.00 57.00 52.00 41.00 47.00 57.00
1549 121.00 1.00 4.00 2.00 1.00 3.00 68.00 59.00 53.00 63.00 61.00
1550 86.00 .00 4.00 3.00 1.00 1.00 44.00 33.00 54.00 58.00 31.00
1551 141.00 .00 4.00 3.00 1.00 3.00 63.00 44.00 47.00 53.00 56.00
1552 172.00 .00 4.00 2.00 1.00 2.00 47.00 52.00 57.00 53.00 61.00
1553 113.00 .00 4.00 2.00 1.00 2.00 44.00 52.00 51.00 63.00 61.00
1554 50.00 .00 3.00 2.00 1.00 1.00 50.00 59.00 42.00 53.00 61.00
1555 11.00 .00 1.00 2.00 1.00 2.00 34.00 46.00 45.00 39.00 36.00
1556 84.00 .00 4.00 2.00 1.00 1.00 63.00 57.00 54.00 58.00 51.00
1557 48.00 .00 3.00 2.00 1.00 2.00 57.00 55.00 52.00 50.00 51.00
1558 75.00 .00 4.00 2.00 1.00 3.00 60.00 46.00 51.00 53.00 61.00
1559 60.00 .00 4.00 2.00 1.00 2.00 57.00 65.00 51.00 63.00 61.00
1560 95.00 .00 4.00 3.00 1.00 2.00 73.00 60.00 71.00 61.00 71.00
1561 104.00 .00 4.00 3.00 1.00 2.00 54.00 63.00 57.00 55.00 46.00
1562 38.00 .00 3.00 1.00 1.00 2.00 45.00 57.00 50.00 31.00 56.00
1563 115.00 .00 4.00 1.00 1.00 1.00 42.00 49.00 43.00 50.00 56.00
1564 76.00 .00 4.00 3.00 1.00 2.00 47.00 52.00 51.00 50.00 56.00
1565 195.00 .00 4.00 2.00 2.00 1.00 57.00 57.00 60.00 58.00 56.00
1566 114.00 .00 4.00 3.00 1.00 2.00 68.00 65.00 62.00 55.00 61.00
1567 85.00 .00 4.00 2.00 1.00 1.00 55.00 39.00 57.00 53.00 46.00
1568 167.00 .00 4.00 2.00 1.00 1.00 63.00 49.00 35.00 66.00 41.00
1569 143.00 .00 4.00 2.00 1.00 3.00 63.00 63.00 75.00 72.00 66.00
1570 41.00 .00 3.00 2.00 1.00 2.00 50.00 40.00 45.00 55.00 56.00
1571 20.00 .00 1.00 3.00 1.00 2.00 60.00 52.00 57.00 61.00 61.00
1572 12.00 .00 1.00 2.00 1.00 3.00 37.00 44.00 45.00 39.00 46.00
1573 53.00 .00 3.00 2.00 1.00 3.00 34.00 37.00 46.00 39.00 31.00
1574 154.00 .00 4.00 3.00 1.00 2.00 65.00 65.00 66.00 61.00 66.00
1575 178.00 .00 4.00 2.00 2.00 3.00 47.00 57.00 57.00 58.00 46.00
1576 196.00 .00 4.00 3.00 2.00 2.00 44.00 38.00 49.00 39.00 46.00
1577 29.00 .00 2.00 1.00 1.00 1.00 52.00 44.00 49.00 55.00 41.00
1578 126.00 .00 4.00 2.00 1.00 1.00 42.00 31.00 57.00 47.00 51.00
1579 103.00 .00 4.00 3.00 1.00 2.00 76.00 52.00 64.00 64.00 61.00
1580 192.00 .00 4.00 3.00 2.00 2.00 65.00 67.00 63.00 66.00 71.00
1581 150.00 .00 4.00 2.00 1.00 3.00 42.00 41.00 57.00 72.00 31.00
1582 199.00 .00 4.00 3.00 2.00 2.00 52.00 59.00 50.00 61.00 61.00
1583 144.00 .00 4.00 3.00 1.00 1.00 60.00 65.00 58.00 61.00 66.00
1584 200.00 .00 4.00 2.00 2.00 2.00 68.00 54.00 75.00 66.00 66.00
1585 80.00 .00 4.00 3.00 1.00 2.00 65.00 62.00 68.00 66.00 66.00
1586 16.00 .00 1.00 1.00 1.00 3.00 47.00 31.00 44.00 36.00 36.00
1587 153.00 .00 4.00 2.00 1.00 3.00 39.00 31.00 40.00 39.00 51.00
1588 176.00 .00 4.00 2.00 2.00 2.00 47.00 47.00 41.00 42.00 51.00
1589 177.00 .00 4.00 2.00 2.00 2.00 55.00 59.00 62.00 58.00 51.00
1590 168.00 .00 4.00 2.00 1.00 2.00 52.00 54.00 57.00 55.00 51.00
1591 40.00 .00 3.00 1.00 1.00 1.00 42.00 41.00 43.00 50.00 41.00
1592 62.00 .00 4.00 3.00 1.00 1.00 65.00 65.00 48.00 63.00 66.00
1593 169.00 .00 4.00 1.00 1.00 1.00 55.00 59.00 63.00 69.00 46.00
1594 49.00 .00 3.00 3.00 1.00 3.00 50.00 40.00 39.00 49.00 47.00
1595 136.00 .00 4.00 2.00 1.00 2.00 65.00 59.00 70.00 63.00 51.00
1596 189.00 .00 4.00 2.00 2.00 2.00 47.00 59.00 63.00 53.00 46.00
1597 7.00 .00 1.00 2.00 1.00 2.00 57.00 54.00 59.00 47.00 51.00
1598 27.00 .00 2.00 2.00 1.00 2.00 53.00 61.00 61.00 57.00 56.00
1599 128.00 .00 4.00 3.00 1.00 2.00 39.00 33.00 38.00 47.00 41.00
1600 21.00 .00 1.00 2.00 1.00 1.00 44.00 44.00 61.00 50.00 46.00
1601 183.00 .00 4.00 2.00 2.00 2.00 63.00 59.00 49.00 55.00 71.00
1602 132.00 .00 4.00 2.00 1.00 2.00 73.00 62.00 73.00 69.00 66.00
1603 15.00 .00 1.00 3.00 1.00 3.00 39.00 39.00 44.00 26.00 42.00
1604 67.00 .00 4.00 1.00 1.00 3.00 37.00 37.00 42.00 33.00 32.00
1605 22.00 .00 1.00 2.00 1.00 3.00 42.00 39.00 39.00 56.00 46.00
1606 185.00 .00 4.00 2.00 2.00 2.00 63.00 57.00 55.00 58.00 41.00
1607 9.00 .00 1.00 2.00 1.00 3.00 48.00 49.00 52.00 44.00 51.00
1608 181.00 .00 4.00 2.00 2.00 2.00 50.00 46.00 45.00 58.00 61.00
1609 170.00 .00 4.00 3.00 1.00 2.00 47.00 62.00 61.00 69.00 66.00
1610 134.00 .00 4.00 1.00 1.00 1.00 44.00 44.00 39.00 34.00 46.00
1611 108.00 .00 4.00 2.00 1.00 1.00 34.00 33.00 41.00 36.00 36.00
1612 197.00 .00 4.00 3.00 2.00 2.00 50.00 42.00 50.00 36.00 61.00
1613 140.00 .00 4.00 2.00 1.00 3.00 44.00 41.00 40.00 50.00 26.00
1614 171.00 .00 4.00 2.00 1.00 2.00 60.00 54.00 60.00 55.00 66.00
1615 107.00 .00 4.00 1.00 1.00 3.00 47.00 39.00 47.00 42.00 26.00
1616 81.00 .00 4.00 1.00 1.00 2.00 63.00 43.00 59.00 65.00 44.00
1617 18.00 .00 1.00 2.00 1.00 3.00 50.00 33.00 49.00 44.00 36.00
1618 155.00 .00 4.00 2.00 1.00 1.00 44.00 44.00 46.00 39.00 51.00
1619 97.00 .00 4.00 3.00 1.00 2.00 60.00 54.00 58.00 58.00 61.00
1620 68.00 .00 4.00 2.00 1.00 2.00 73.00 67.00 71.00 63.00 66.00
1621 157.00 .00 4.00 2.00 1.00 1.00 68.00 59.00 58.00 74.00 66.00
1622 56.00 .00 4.00 2.00 1.00 3.00 55.00 45.00 46.00 58.00 51.00
1623 5.00 .00 1.00 1.00 1.00 2.00 47.00 40.00 43.00 45.00 31.00
1624 159.00 .00 4.00 3.00 1.00 2.00 55.00 61.00 54.00 49.00 61.00
1625 123.00 .00 4.00 3.00 1.00 1.00 68.00 59.00 56.00 63.00 66.00
1626 164.00 .00 4.00 2.00 1.00 3.00 31.00 36.00 46.00 39.00 46.00
1627 14.00 .00 1.00 3.00 1.00 2.00 47.00 41.00 54.00 42.00 56.00
1628 127.00 .00 4.00 3.00 1.00 2.00 63.00 59.00 57.00 55.00 56.00
1629 165.00 .00 4.00 1.00 1.00 3.00 36.00 49.00 54.00 61.00 36.00
1630 174.00 .00 4.00 2.00 2.00 2.00 68.00 59.00 71.00 66.00 56.00
1631 3.00 .00 1.00 1.00 1.00 2.00 63.00 65.00 48.00 63.00 56.00
1632 58.00 .00 4.00 2.00 1.00 3.00 55.00 41.00 40.00 44.00 41.00
1633 146.00 .00 4.00 3.00 1.00 2.00 55.00 62.00 64.00 63.00 66.00
1634 102.00 .00 4.00 3.00 1.00 2.00 52.00 41.00 51.00 53.00 56.00
1635 117.00 .00 4.00 3.00 1.00 3.00 34.00 49.00 39.00 42.00 56.00
1636 133.00 .00 4.00 2.00 1.00 3.00 50.00 31.00 40.00 34.00 31.00
1637 94.00 .00 4.00 3.00 1.00 2.00 55.00 49.00 61.00 61.00 56.00
1638 24.00 .00 2.00 2.00 1.00 2.00 52.00 62.00 66.00 47.00 46.00
1639 149.00 .00 4.00 1.00 1.00 1.00 63.00 49.00 49.00 66.00 46.00
1640 82.00 1.00 4.00 3.00 1.00 2.00 68.00 62.00 65.00 69.00 61.00
1641 8.00 1.00 1.00 1.00 1.00 2.00 39.00 44.00 52.00 44.00 48.00
1642 129.00 1.00 4.00 1.00 1.00 1.00 44.00 44.00 46.00 47.00 51.00
1643 173.00 1.00 4.00 1.00 1.00 1.00 50.00 62.00 61.00 63.00 51.00
1644 57.00 1.00 4.00 2.00 1.00 2.00 71.00 65.00 72.00 66.00 56.00
1645 100.00 1.00 4.00 3.00 1.00 2.00 63.00 65.00 71.00 69.00 71.00
1646 1.00 1.00 1.00 1.00 1.00 3.00 34.00 44.00 40.00 39.00 41.00
1647 194.00 1.00 4.00 3.00 2.00 2.00 63.00 63.00 69.00 61.00 61.00
1648 88.00 1.00 4.00 3.00 1.00 2.00 68.00 60.00 64.00 69.00 66.00
1649 99.00 1.00 4.00 3.00 1.00 1.00 47.00 59.00 56.00 66.00 61.00
1650 47.00 1.00 3.00 1.00 1.00 2.00 47.00 46.00 49.00 33.00 41.00
1651 120.00 1.00 4.00 3.00 1.00 2.00 63.00 52.00 54.00 50.00 51.00
1652 166.00 1.00 4.00 2.00 1.00 2.00 52.00 59.00 53.00 61.00 51.00
1653 65.00 1.00 4.00 2.00 1.00 2.00 55.00 54.00 66.00 42.00 56.00
1654 101.00 1.00 4.00 3.00 1.00 2.00 60.00 62.00 67.00 50.00 56.00
1655 89.00 1.00 4.00 1.00 1.00 3.00 35.00 35.00 40.00 51.00 33.00
1656 54.00 1.00 3.00 1.00 2.00 1.00 47.00 54.00 46.00 50.00 56.00
1657 180.00 1.00 4.00 3.00 2.00 2.00 71.00 65.00 69.00 58.00 71.00
1658 162.00 1.00 4.00 2.00 1.00 3.00 57.00 52.00 40.00 61.00 56.00
1659 4.00 1.00 1.00 1.00 1.00 2.00 44.00 50.00 41.00 39.00 51.00
1660 131.00 1.00 4.00 3.00 1.00 2.00 65.00 59.00 57.00 46.00 66.00
1661 125.00 1.00 4.00 1.00 1.00 2.00 68.00 65.00 58.00 59.00 56.00
1662 34.00 1.00 1.00 3.00 2.00 2.00 73.00 61.00 57.00 55.00 66.00
1663 106.00 1.00 4.00 2.00 1.00 3.00 36.00 44.00 37.00 42.00 41.00
1664 130.00 1.00 4.00 3.00 1.00 1.00 43.00 54.00 55.00 55.00 46.00
1665 93.00 1.00 4.00 3.00 1.00 2.00 73.00 67.00 62.00 58.00 66.00
1666 163.00 1.00 4.00 1.00 1.00 2.00 52.00 57.00 64.00 58.00 56.00
1667 37.00 1.00 3.00 1.00 1.00 3.00 41.00 47.00 40.00 39.00 51.00
1668 35.00 1.00 1.00 1.00 2.00 1.00 60.00 54.00 50.00 50.00 51.00
1669 87.00 1.00 4.00 2.00 1.00 1.00 50.00 52.00 46.00 50.00 56.00
1670 73.00 1.00 4.00 2.00 1.00 2.00 50.00 52.00 53.00 39.00 56.00
1671 151.00 1.00 4.00 2.00 1.00 3.00 47.00 46.00 52.00 48.00 46.00
1672 44.00 1.00 3.00 1.00 1.00 3.00 47.00 62.00 45.00 34.00 46.00
1673 152.00 1.00 4.00 3.00 1.00 2.00 55.00 57.00 56.00 58.00 61.00
1674 105.00 1.00 4.00 2.00 1.00 2.00 50.00 41.00 45.00 44.00 56.00
1675 28.00 1.00 2.00 2.00 1.00 1.00 39.00 53.00 54.00 50.00 41.00
1676 91.00 1.00 4.00 3.00 1.00 3.00 50.00 49.00 56.00 47.00 46.00
1677 45.00 1.00 3.00 1.00 1.00 3.00 34.00 35.00 41.00 29.00 26.00
1678 116.00 1.00 4.00 2.00 1.00 2.00 57.00 59.00 54.00 50.00 56.00
1679 33.00 1.00 2.00 1.00 1.00 2.00 57.00 65.00 72.00 54.00 56.00
1680 66.00 1.00 4.00 2.00 1.00 3.00 68.00 62.00 56.00 50.00 51.00
1681 72.00 1.00 4.00 2.00 1.00 3.00 42.00 54.00 47.00 47.00 46.00
1682 77.00 1.00 4.00 1.00 1.00 2.00 61.00 59.00 49.00 44.00 66.00
1683 61.00 1.00 4.00 3.00 1.00 2.00 76.00 63.00 60.00 67.00 66.00
1684 190.00 1.00 4.00 2.00 2.00 2.00 47.00 59.00 54.00 58.00 46.00
1685 42.00 1.00 3.00 2.00 1.00 3.00 46.00 52.00 55.00 44.00 56.00
1686 2.00 1.00 1.00 2.00 1.00 3.00 39.00 41.00 33.00 42.00 41.00
1687 55.00 1.00 3.00 2.00 2.00 2.00 52.00 49.00 49.00 44.00 61.00
1688 19.00 1.00 1.00 1.00 1.00 1.00 28.00 46.00 43.00 44.00 51.00
1689 90.00 1.00 4.00 3.00 1.00 2.00 42.00 54.00 50.00 50.00 52.00
1690 142.00 1.00 4.00 2.00 1.00 3.00 47.00 42.00 52.00 39.00 51.00
1691 17.00 1.00 1.00 2.00 1.00 2.00 47.00 57.00 48.00 44.00 41.00
1692 122.00 1.00 4.00 2.00 1.00 2.00 52.00 59.00 58.00 53.00 66.00
1693 191.00 1.00 4.00 3.00 2.00 2.00 47.00 52.00 43.00 48.00 61.00
1694 83.00 1.00 4.00 2.00 1.00 3.00 50.00 62.00 41.00 55.00 31.00
1695 182.00 1.00 4.00 2.00 2.00 2.00 44.00 52.00 43.00 44.00 51.00
1696 6.00 1.00 1.00 1.00 1.00 2.00 47.00 41.00 46.00 40.00 41.00
1697 46.00 1.00 3.00 1.00 1.00 2.00 45.00 55.00 44.00 34.00 41.00
1698 43.00 1.00 3.00 1.00 1.00 2.00 47.00 37.00 43.00 42.00 46.00
1699 96.00 1.00 4.00 3.00 1.00 2.00 65.00 54.00 61.00 58.00 56.00
1700 138.00 1.00 4.00 2.00 1.00 3.00 43.00 57.00 40.00 50.00 51.00
1701 10.00 1.00 1.00 2.00 1.00 1.00 47.00 54.00 49.00 53.00 61.00
1702 71.00 1.00 4.00 2.00 1.00 1.00 57.00 62.00 56.00 58.00 66.00
1703 139.00 1.00 4.00 2.00 1.00 2.00 68.00 59.00 61.00 55.00 71.00
1704 110.00 1.00 4.00 2.00 1.00 3.00 52.00 55.00 50.00 54.00 61.00
1705 148.00 1.00 4.00 2.00 1.00 3.00 42.00 57.00 51.00 47.00 61.00
1706 109.00 1.00 4.00 2.00 1.00 1.00 42.00 39.00 42.00 42.00 41.00
1707 39.00 1.00 3.00 3.00 1.00 2.00 66.00 67.00 67.00 61.00 66.00
1708 147.00 1.00 4.00 1.00 1.00 2.00 47.00 62.00 53.00 53.00 61.00
1709 74.00 1.00 4.00 2.00 1.00 2.00 57.00 50.00 50.00 51.00 58.00
1710 198.00 1.00 4.00 3.00 2.00 2.00 47.00 61.00 51.00 63.00 31.00
1711 161.00 1.00 4.00 1.00 1.00 2.00 57.00 62.00 72.00 61.00 61.00
1712 112.00 1.00 4.00 2.00 1.00 2.00 52.00 59.00 48.00 55.00 61.00
1713 69.00 1.00 4.00 1.00 1.00 3.00 44.00 44.00 40.00 40.00 31.00
1714 156.00 1.00 4.00 2.00 1.00 2.00 50.00 59.00 53.00 61.00 61.00
1715 111.00 1.00 4.00 1.00 1.00 1.00 39.00 54.00 39.00 47.00 36.00
1716 186.00 1.00 4.00 2.00 2.00 2.00 57.00 62.00 63.00 55.00 41.00
1717 98.00 1.00 4.00 1.00 1.00 3.00 57.00 60.00 51.00 53.00 37.00
1718 119.00 1.00 4.00 1.00 1.00 1.00 42.00 57.00 45.00 50.00 43.00
1719 13.00 1.00 1.00 2.00 1.00 3.00 47.00 46.00 39.00 47.00 61.00
1720 51.00 1.00 3.00 3.00 1.00 1.00 42.00 36.00 42.00 31.00 39.00
1721 26.00 1.00 2.00 3.00 1.00 2.00 60.00 59.00 62.00 61.00 51.00
1722 36.00 1.00 3.00 1.00 1.00 1.00 44.00 49.00 44.00 35.00 51.00
1723 135.00 1.00 4.00 1.00 1.00 2.00 63.00 60.00 65.00 54.00 66.00
1724 59.00 1.00 4.00 2.00 1.00 2.00 65.00 67.00 63.00 55.00 71.00
1725 78.00 1.00 4.00 2.00 1.00 2.00 39.00 54.00 54.00 53.00 41.00
1726 64.00 1.00 4.00 3.00 1.00 3.00 50.00 52.00 45.00 58.00 36.00
1727 63.00 1.00 4.00 1.00 1.00 1.00 52.00 65.00 60.00 56.00 51.00
1728 79.00 1.00 4.00 2.00 1.00 2.00 60.00 62.00 49.00 50.00 51.00
1729 193.00 1.00 4.00 2.00 2.00 2.00 44.00 49.00 48.00 39.00 51.00
1730 92.00 1.00 4.00 3.00 1.00 1.00 52.00 67.00 57.00 63.00 61.00
1731 160.00 1.00 4.00 2.00 1.00 2.00 55.00 65.00 55.00 50.00 61.00
1732 32.00 1.00 2.00 3.00 1.00 3.00 50.00 67.00 66.00 66.00 56.00
1733 23.00 1.00 2.00 1.00 1.00 2.00 65.00 65.00 64.00 58.00 71.00
1734 158.00 1.00 4.00 2.00 1.00 1.00 52.00 54.00 55.00 53.00 51.00
1735 25.00 1.00 2.00 2.00 1.00 1.00 47.00 44.00 42.00 42.00 36.00
1736 188.00 1.00 4.00 3.00 2.00 2.00 63.00 62.00 56.00 55.00 61.00
1737 52.00 1.00 3.00 1.00 1.00 2.00 50.00 46.00 53.00 53.00 66.00
1738 124.00 1.00 4.00 1.00 1.00 3.00 42.00 54.00 41.00 42.00 41.00
1739 175.00 1.00 4.00 3.00 2.00 1.00 36.00 57.00 42.00 50.00 41.00
1740 184.00 1.00 4.00 2.00 2.00 3.00 50.00 52.00 53.00 55.00 56.00
1741 30.00 1.00 2.00 3.00 1.00 2.00 41.00 59.00 42.00 34.00 51.00
1742 179.00 1.00 4.00 2.00 2.00 2.00 47.00 65.00 60.00 50.00 56.00
1743 31.00 1.00 2.00 2.00 2.00 1.00 55.00 59.00 52.00 42.00 56.00
1744 145.00 1.00 4.00 2.00 1.00 3.00 42.00 46.00 38.00 36.00 46.00
1745 187.00 1.00 4.00 2.00 2.00 1.00 57.00 41.00 57.00 55.00 52.00
1746 118.00 1.00 4.00 2.00 1.00 1.00 55.00 62.00 58.00 58.00 61.00
1747 137.00 1.00 4.00 3.00 1.00 2.00 63.00 65.00 65.00 53.00 61.00
1751 /variables read write math science socst
1752 /analysis read write math science socst
1755 /criteria mineigen (.557)
1759 AT_CHECK([pspp -O format=csv factor2.sps], [0],
1760 [Table: Communalities
1768 Table: Total Variance Explained
1769 ,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,,Rotation Sums of Squared Loadings,,
1770 ,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1771 1,3.381,67.6%,67.6%,3.381,67.6%,67.6%,2.113,42.3%,42.3%
1772 2,.557,11.1%,78.8%,.557,11.1%,78.8%,1.825,36.5%,78.8%
1773 3,.407,8.1%,86.9%,,,,,,
1774 4,.356,7.1%,94.0%,,,,,,
1775 5,.299,6.0%,100.0%,,,,,,
1777 Table: Component Matrix
1786 Table: Rotated Component Matrix
1800 AT_SETUP([FACTOR empty dataset])
1801 dnl Test that something sane happens when the dataset contains no complete observations
1803 AT_DATA([factor-empty.sps],
1804 [data list notable list /x * y * z *.
1812 factor /variables = ALL.
1815 AT_CHECK([pspp -O format=csv factor-empty.sps], [0], [ignore])
1819 dnl Fixes a crash reported at
1820 dnl http://lists.gnu.org/archive/html/bug-gnu-pspp/2012-04/msg00001.html
1821 AT_SETUP([FACTOR /ROTATION=NOROTATE])
1822 AT_DATA([factor-norotate.sps], [dnl
1823 DATA LIST FREE / TRAIT1 TO TRAIT5 (F8.2).
1834 FACTOR /VARIABLES=TRAIT1 TO TRAIT5
1835 /ROTATION=NOROTATE /* NOROTATE may have caused the problem. */
1837 /PRINT=DEFAULT DET UNIVARIATE ROTATION SIG CORRELATION.
1840 AT_CHECK([pspp -O format=csv factor-norotate.sps], [0], [dnl
1841 Table: Descriptive Statistics
1842 ,Mean,Std. Deviation,Analysis N
1849 Table: Correlation Matrix
1850 ,,TRAIT1,TRAIT2,TRAIT3,TRAIT4,TRAIT5
1851 Correlation,TRAIT1,1.000,.296,.881,.995,.545
1852 ,TRAIT2,.296,1.000,-.022,.326,.837
1853 ,TRAIT3,.881,-.022,1.000,.867,.130
1854 ,TRAIT4,.995,.326,.867,1.000,.544
1855 ,TRAIT5,.545,.837,.130,.544,1.000
1856 Sig. (1-tailed),TRAIT1,,.260,.004,.000,.103
1857 ,TRAIT2,.260,,.482,.238,.009
1858 ,TRAIT3,.004,.482,,.006,.390
1859 ,TRAIT4,.000,.238,.006,,.103
1860 ,TRAIT5,.103,.009,.390,.103,
1861 Caption: Determinant: 0.00
1863 Table: Communalities
1871 Table: Total Variance Explained
1872 ,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,
1873 ,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1874 1,3.26,65.3%,65.3%,3.26,65.3%,65.3%
1875 2,1.54,30.8%,96.0%,1.54,30.8%,96.0%
1876 3,.17,3.4%,99.4%,.17,3.4%,99.4%
1877 4,.03,.6%,100.0%,.03,.6%,100.0%
1880 Table: Component Matrix
1883 TRAIT1,.97,.23,-.08,.00
1884 TRAIT2,.52,-.81,.28,.00
1885 TRAIT3,.78,.59,.17,.00
1886 TRAIT4,.97,.21,-.04,.00
1887 TRAIT5,.70,-.67,-.23,.00
1893 dnl Fixes a bug in the way that the /CRITERIA = ITERATE option was interpreted.
1894 dnl http://lists.gnu.org/archive/html/bug-gnu-pspp/2013-09/msg00036.html
1895 AT_SETUP([FACTOR /CRITERIA=ITERATE])
1896 AT_DATA([factor-iterate.sps], [dnl
1898 data list notable list /x y z *.
1913 /CRITERIA = MINEIGEN (1) ITERATE (25)
1915 /METHOD = CORRELATION
1916 /PRINT = INITIAL EXTRACTION
1917 /CRITERIA = ITERATE (0)
1918 /ROTATION = NOROTATE.
1921 AT_CHECK([pspp -O format=csv factor-iterate.sps], [0], [dnl
1922 Table: Communalities
1928 Table: Total Variance Explained
1929 ,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,
1930 ,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1931 1,2.404,80.1%,80.1%,2.155,71.8%,71.8%
1932 2,.425,14.2%,94.3%,,,
1933 3,.171,5.7%,100.0%,,,
1935 Table: Factor Matrix
1945 AT_SETUP([FACTOR promax])
1946 AT_DATA([factor-promax.sps], [dnl
1950 get file='llz.zsav'.
1953 /variables pz pn ps nz nn ns tz tn ts oz on os sz sn ss zz zn zs
1955 /print initial extraction rotation
1956 /criteria mineigen(1) iterate(25)
1959 /rotation promax (5).
1962 AT_CHECK([ln -s $top_srcdir/tests/language/stats/llz.zsav .], [0], [ignore])
1964 AT_CHECK([pspp -O format=csv factor-promax.sps], [0], [dnl
1965 Table: Communalities
1986 Table: Total Variance Explained
1987 ,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,,Rotation Sums of Squared Loadings,,
1988 ,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1989 1,2.968,16.5%,16.5%,2.411,13.4%,13.4%,. ,. ,. @&t@
1990 2,2.026,11.3%,27.7%,1.271,7.1%,20.5%,. ,. ,-Infinity
1991 3,1.622,9.0%,36.8%,.948,5.3%,25.7%,. ,. ,-Infinity
1992 4,1.086,6.0%,42.8%,.283,1.6%,27.3%,. ,. ,-Infinity
1993 5,.996,5.5%,48.3%,,,,,,
1994 6,.923,5.1%,53.5%,,,,,,
1995 7,.873,4.9%,58.3%,,,,,,
1996 8,.856,4.8%,63.1%,,,,,,
1997 9,.836,4.6%,67.7%,,,,,,
1998 10,.816,4.5%,72.2%,,,,,,
1999 11,.785,4.4%,76.6%,,,,,,
2000 12,.740,4.1%,80.7%,,,,,,
2001 13,.713,4.0%,84.7%,,,,,,
2002 14,.653,3.6%,88.3%,,,,,,
2003 15,.633,3.5%,91.8%,,,,,,
2004 16,.604,3.4%,95.2%,,,,,,
2005 17,.484,2.7%,97.9%,,,,,,
2006 18,.386,2.1%,100.0%,,,,,,
2008 Table: Factor Matrix
2011 PZ,-.276,.154,.510,.124
2012 PN,.096,.129,-.091,.261
2013 PS,.746,-.085,.234,.063
2014 NZ,-.111,.323,.206,-.058
2015 NN,.007,.260,-.083,-.069
2016 NS,.366,.096,.046,.051
2017 TZ,-.228,.172,.509,.059
2018 TN,.131,.345,-.074,.029
2019 TS,.601,-.005,.098,.030
2020 OZ,-.145,.166,.322,-.081
2021 ON,.607,.082,.073,-.173
2022 OS,.757,-.059,.171,-.104
2023 SZ,-.142,.307,.226,-.066
2024 SN,.175,.436,-.183,.115
2025 SS,.199,.206,-.083,.302
2026 ZZ,-.074,.411,-.080,-.104
2027 ZN,.015,.580,-.252,-.114
2028 ZS,.365,.156,-.004,.015
2030 Table: Pattern Matrix
2033 PZ,-.063,-.126,.599,.085
2034 PN,-.035,.000,-.033,.325
2035 PS,.762,-.175,.058,.081
2036 NZ,.027,.230,.327,-.044
2037 NN,.008,.289,.008,-.026
2038 NS,.344,.044,.015,.091
2039 TZ,.004,-.074,.589,.020
2040 TN,.097,.307,.033,.103
2041 TS,.585,-.043,-.017,.062
2042 OZ,.046,.067,.382,-.109
2043 ON,.654,.151,-.029,-.145
2044 OS,.803,-.037,-.009,-.092
2045 SZ,.009,.213,.345,-.060
2046 SN,.065,.376,-.036,.227
2047 SS,.054,.042,-.013,.388
2048 ZZ,-.044,.434,.078,-.046
2049 ZN,-.025,.646,-.041,-.006
2050 ZS,.337,.133,-.013,.067
2052 Table: Structure Matrix
2055 PZ,-.177,-.058,.598,-.022
2056 PN,.068,.110,-.049,.317
2057 PS,.771,-.138,-.136,.240
2058 NZ,-.060,.236,.339,.019
2059 NN,.000,.281,.027,.076
2060 NS,.368,.080,-.068,.207
2061 TZ,-.127,-.028,.582,-.049
2062 TN,.122,.345,.023,.235
2063 TS,.607,-.018,-.160,.221
2064 OZ,-.074,.055,.384,-.101
2065 ON,.619,.104,-.160,.102
2066 OS,.778,-.064,-.190,.132
2067 SZ,-.086,.215,.361,-.009
2068 SN,.143,.453,-.044,.380
2069 SS,.171,.176,-.052,.420
2070 ZZ,-.073,.422,.120,.085
2071 ZN,-.013,.641,.008,.214
2072 ZS,.361,.158,-.088,.213
2074 Table: Factor Correlation Matrix
2076 1,1.000,.008,-.232,.294
2077 2,.008,1.000,.065,.347
2078 3,-.232,.065,1.000,-.076
2079 4,.294,.347,-.076,1.000
2090 AT_SETUP([FACTOR covariance matrix])
2092 AT_DATA([covariance-matrix.sps], [dnl
2095 variables = rowtype_ var01 var02 var03 var04 var05 var06 var07 var08
2096 / format = lower diagonal .
2098 mean 24.3 5.4 69.7 20.1 13.4 2.7 27.9 3.7
2099 sd 5.7 1.5 23.5 5.8 2.8 4.5 5.4 1.5
2100 n 92 92 92 92 92 92 92 92
2102 cov 1.539000 2.250000
2103 cov -29.469000 -5.992500 552.250000
2104 cov 11.901600 2.697000 -19.082000 33.640000
2105 cov 4.309200 0.672000 -7.896000 3.572800 7.840000
2106 cov 8.464500 1.012500 -17.977500 6.264000 2.646000 20.250000
2107 cov 15.390000 2.349000 -25.380000 10.022400 1.814400 9.234000 29.160000
2108 cov 1.453500 0.652500 -1.762500 1.740000 1.134000 1.350000 0.324000 2.250000
2111 factor matrix in (cov = *)
2112 / method = covariance
2113 / print = initial covariance
2115 / rotation = norotate.
2118 AT_CHECK([pspp -O format=csv covariance-matrix.sps], [0], [dnl
2119 Table: Covariance Matrix
2120 ,var01,var02,var03,var04,var05,var06,var07,var08
2121 var01,32.490,1.539,-29.469,11.902,4.309,8.464,15.390,1.454
2122 var02,1.539,2.250,-5.992,2.697,.672,1.013,2.349,.653
2123 var03,-29.469,-5.992,552.250,-19.082,-7.896,-17.977,-25.380,-1.763
2124 var04,11.902,2.697,-19.082,33.640,3.573,6.264,10.022,1.740
2125 var05,4.309,.672,-7.896,3.573,7.840,2.646,1.814,1.134
2126 var06,8.464,1.013,-17.977,6.264,2.646,20.250,9.234,1.350
2127 var07,15.390,2.349,-25.380,10.022,1.814,9.234,29.160,.324
2128 var08,1.454,.653,-1.763,1.740,1.134,1.350,.324,2.250
2130 Table: Communalities
2141 Table: Total Variance Explained
2142 ,Initial Eigenvalues,,
2143 ,Total,% of Variance,Cumulative %
2144 1,556.895,81.9%,81.9%
2153 Table: Component Matrix
2156 var01,1.394,4.388,1.513,-2.851,.849,.396,.033
2157 var02,.269,.460,-.173,.147,-.146,-.213,.872
2158 var03,-23.489,.725,.058,.003,.022,-.012,.006
2159 var04,.926,4.007,-4.068,.241,-.253,.218,-.026
2160 var05,.363,.829,-.172,-.255,.805,-2.492,.058
2161 var06,.843,2.354,.971,2.425,2.649,.392,.046
2162 var07,1.205,3.948,1.926,1.515,-2.450,-.317,-.087
2163 var08,.085,.319,-.157,-.011,.353,-.341,-.816
2170 dnl A more realistic example of factor analysis usage.
2171 AT_SETUP([FACTOR correlation matrix])
2173 AT_DATA([correlation-matrix.sps], [dnl
2177 variables = rowtype_
2178 cdi_actws_16 cdi_maxzin_16 rdls_passws_16 rdls_actws_16 cdi_actws_20 cdi_maxzin_20 cdi_actws_26 cdi_maxzin_26 rdls_passws_26 rdls_actws_26
2179 nepsy_passws_36 morf_verv_36 bnt_actws_36 klankgr_id_36 snelnoe_36 letters_36 ppvt_passws_50 morf_verv_50
2180 nepsy_passws_56 bnt_actws_56 klank_gr_weg_56 snelnoe_56 letters_56
2181 leesacc_wo_owo_811 leesacc_tekst_811 leesacc_otekst_811 leessne_wo_owo_811 leesvl_tekst_811 leesvl_otekst_811 leessne_wo_811 spel_wo_owo_811
2182 / format = upper diagonal .
2184 mean 64.44 1.74 15.30 11.50 269.03 5.37 441.90 8.57 36.59 33.99 11.68 14.74 18.67 6.70 71.57 2.28 70.45 51.82 18.82 34.57 11.68 45.63 12.94 35.08 92.60 79.28 2.78 61.71 29.44 9.46 13.17
2185 sd 74.93 1.36 5.51 4.17 159.26 2.76 128.77 3.50 6.20 6.50 3.55 8.37 5.90 3.01 24.81 4.09 24.44 18.55 2.90 6.46 3.01 14.06 7.69 4.36 7.10 17.57 1.27 25.68 11.75 3.36 4.13
2186 n 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150
2187 corr 1.00 .784 .397 .862 .692 .625 .490 .374 .406 .371 .260 .257 .306 .118 -.148 .072 .202 .234 .198 .241 .205 -.054 .246 .166 .143 .155 -.122 .144 -.010 .135 .241
2188 corr 1.00 .333 .751 .549 .553 .447 .313 .304 .377 .204 .249 .258 .193 -.158 .119 .150 .216 .127 .209 .242 .046 .233 .120 .155 .107 -.126 .147 -.009 .134 .208
2189 corr 1.00 .469 .433 .381 .442 .307 .462 .391 .378 .293 .369 .191 -.306 .238 .204 .215 .295 .285 .157 .069 .241 .029 .060 .054 -.043 .124 -.069 .054 .136
2190 corr 1.00 .708 .663 .509 .419 .434 .432 .267 .255 .342 .132 -.192 .142 .228 .203 .248 .260 .200 -.051 .254 .136 .156 .109 -.126 .172 -.004 .157 .268
2191 corr 1.00 .787 .710 .567 .402 .511 .274 .285 .332 .154 -.096 .247 .253 .235 .245 .257 .261 -.048 .243 .119 .194 .164 -.108 .184 .011 .157 .235
2192 corr 1.00 .590 .646 .449 .505 .313 .322 .405 .148 -.117 .152 .294 .322 .252 .321 .267 -.055 .255 .118 .178 .137 -.110 .182 .004 .146 .216
2193 corr 1.00 .548 .343 .619 .296 .260 .456 .149 -.098 .252 .279 .267 .342 .361 .186 -.066 .215 .107 .148 .059 -.114 .156 -.035 .095 .220
2194 corr 1.00 .406 .509 .397 .236 .416 .037 -.179 .192 .334 .293 .277 .367 .162 -.150 .306 .171 .307 .173 -.128 .255 .075 .224 .315
2195 corr 1.00 .410 .497 .560 .574 .240 -.301 .204 .508 .351 .457 .428 .242 -.117 .367 .136 .191 .191 -.102 .215 .053 .185 .273
2196 corr 1.00 .328 .258 .534 .236 -.202 .200 .333 .209 .352 .375 .302 -.119 .272 .062 .203 .042 -.092 .220 .020 .158 .227
2197 corr 1.00 .439 .488 .323 -.213 .287 .507 .427 .493 .522 .298 -.142 .371 .109 .215 .213 -.048 .228 .009 .133 .267
2198 corr 1.00 .437 .381 -.158 .153 .403 .430 .383 .379 .150 -.141 .303 .115 .131 .155 -.170 .206 .039 .193 .254
2199 corr 1.00 .247 -.143 .182 .521 .364 .415 .688 .304 -.185 .327 .188 .211 .202 -.111 .272 .122 .226 .301
2200 corr 1.00 -.150 .229 .296 .249 .329 .255 .210 -.036 .252 .141 .230 .112 -.195 .309 .135 .250 .195
2201 corr 1.00 -.132 -.204 -.162 -.284 -.166 -.189 .294 -.339 -.094 -.218 -.144 .153 -.246 -.128 -.192 -.239
2202 corr 1.00 .151 .132 .166 .195 .387 -.214 .476 .154 .187 .167 -.236 .410 .316 .370 .245
2203 corr 1.00 .388 .479 .591 .294 -.171 .351 .102 .245 .180 .003 .274 .059 .178 .236
2204 corr 1.00 .408 .437 .276 -.153 .353 .251 .318 .229 -.111 .263 .042 .203 .349
2205 corr 1.00 .467 .234 -.249 .382 .199 .313 .197 -.117 .263 .047 .215 .318
2206 corr 1.00 .368 -.199 .441 .198 .224 .197 -.099 .329 .105 .256 .322
2207 corr 1.00 -.211 .473 .233 .253 .268 -.198 .397 .229 .309 .277
2208 corr 1.00 -.310 -.217 -.312 -.203 .227 -.296 -.260 -.276 -.321
2209 corr 1.00 .368 .350 .311 -.313 .578 .338 .521 .458
2210 corr 1.00 .415 .580 -.588 .545 .497 .635 .683
2211 corr 1.00 .570 -.386 .494 .340 .538 .524
2212 corr 1.00 -.366 .427 .299 .498 .506
2213 corr 1.00 -.684 -.620 -.746 -.568
2214 corr 1.00 .759 .900 .555
2220 factor matrix in (cor = *)
2221 / analysis = cdi_actws_16 rdls_actws_16 cdi_actws_20 cdi_actws_26 rdls_actws_26 bnt_actws_36 bnt_actws_56
2223 / criteria = factors (1)
2225 / rotation = norotate
2226 / print = initial extraction .
2230 AT_CHECK([pspp -O format=csv correlation-matrix.sps], [0], [dnl
2231 Table: Communalities
2233 cdi_actws_16,1.000,.614
2234 rdls_actws_16,1.000,.660
2235 cdi_actws_20,1.000,.695
2236 cdi_actws_26,1.000,.650
2237 rdls_actws_26,1.000,.536
2238 bnt_actws_36,1.000,.443
2239 bnt_actws_56,1.000,.316
2241 Table: Total Variance Explained
2242 ,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,
2243 ,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
2244 1,3.914,55.9%,55.9%,3.914,55.9%,55.9%
2245 2,1.320,18.9%,74.8%,,,
2246 3,.716,10.2%,85.0%,,,
2247 4,.422,6.0%,91.0%,,,
2248 5,.278,4.0%,95.0%,,,
2249 6,.216,3.1%,98.1%,,,
2250 7,.135,1.9%,100.0%,,,
2252 Table: Component Matrix
2267 AT_SETUP([FACTOR bad input])
2269 dnl Test for a crash
2270 AT_DATA([bad-input.sps], [dnl
2272 MATRIX DATA VARIABLES S1 ROWTYPE_ V1 TO V3 /SPLIT=S1.
2290 FACTOR MATRIX IN (CORR =!*)
2291 /PRINT = CORRELATION
2295 AT_CHECK([pspp -O format=csv bad-input.sps], [1], [ignore])
2300 AT_SETUP([FACTOR anti-image matrix])
2302 AT_DATA([anti-image-matrix.sps], [dnl
2305 variables = rowtype_ viq piq pa ran piatwr piatc
2307 / format = lower diagonal .
2309 mean 96.88 100.51 -1.73 -0.94 -2.52 -1.85
2310 sd 10.97 11.19 1.19 0.88 0.85 0.97
2314 corr 0.16 0.17 0.34 1.00
2315 corr 0.25 0.07 0.46 0.38 1.00
2316 corr 0.37 0.22 0.39 0.30 0.59 1.00
2319 factor matrix = in (cor = *)
2320 / analysis = viq piq pa ran piatwr piatc
2323 / rotation = norotate
2327 AT_CHECK([pspp -O format=csv anti-image-matrix.sps], [0], [dnl
2328 Table: Anti-Image Matrices
2329 ,,viq,piq,pa,ran,piatwr,piatc
2330 Anti-image Covariance,viq,.762,-.248,-.048,.008,-.031,-.143
2331 ,piq,-.248,.807,-.117,-.081,.108,-.071
2332 ,pa,-.048,-.117,.711,-.125,-.173,-.060
2333 ,ran,.008,-.081,-.125,.808,-.143,-.035
2334 ,piatwr,-.031,.108,-.173,-.143,.551,-.265
2335 ,piatc,-.143,-.071,-.060,-.035,-.265,.581
2336 Anti-image Correlation,viq,.741,-.316,-.066,.011,-.048,-.215
2337 ,piq,-.316,.624,-.154,-.100,.163,-.103
2338 ,pa,-.066,-.154,.811,-.165,-.277,-.093
2339 ,ran,.011,-.100,-.165,.825,-.214,-.051
2340 ,piatwr,-.048,.163,-.277,-.214,.675,-.469
2341 ,piatc,-.215,-.103,-.093,-.051,-.469,.729
2343 Table: Component Matrix
2346 piatc,.774,.122,-.368,.365,-.322
2347 piatwr,.754,.418,.442,.219,-.115
2348 pa,.707,.124,-.117,-.161,.256
2349 piq,.456,-.733,.122,-.289,-.377
2350 viq,.589,-.539,.033,.298,.457
2351 ran,.592,.262,-.069,-.638,.096
2357 AT_SETUP([FACTOR Kaiser-Meyer-Olkin])
2359 AT_DATA([kmo.sps], [dnl
2362 variables = rowtype_ viq piq pa ran piatwr piatc
2364 / format = lower diagonal .
2366 mean 96.88 100.51 -1.73 -0.94 -2.52 -1.85
2367 sd 10.97 11.19 1.19 0.88 0.85 0.97
2371 corr 0.16 0.17 0.34 1.00
2372 corr 0.25 0.07 0.46 0.38 1.00
2373 corr 0.37 0.22 0.39 0.30 0.59 1.00
2376 factor matrix = in (cor = *)
2377 / analysis = viq piq pa ran piatwr piatc
2379 / rotation = norotate
2383 AT_CHECK([pspp -O format=csv kmo.sps], [0], [dnl
2384 Table: KMO and Bartlett's Test
2385 Kaiser-Meyer-Olkin Measure of Sampling Adequacy,,.730
2386 Bartlett's Test of Sphericity,Approx. Chi-Square,602.673
2390 Table: Component Matrix
2393 viq,.589,-.539,.033,.298,.457
2394 piq,.456,-.733,.122,-.289,-.377
2395 pa,.707,.124,-.117,-.161,.256
2396 ran,.592,.262,-.069,-.638,.096
2397 piatwr,.754,.418,.442,.219,-.115
2398 piatc,.774,.122,-.368,.365,-.322
projects / pspp / blob