Monday, April 23, 2007
Sunday, April 22, 2007
Scores...
Хүчин зүйлийн шинжилгээ
Хоёр хүчин зүйлийн шинжилгээ
FACTOR ANALYSIS-олон шинж тэмдэгийг хүчин зүйл гэж нэрлэгдэх цөөн шинж тэмдгээр солиход хүчин зүйлийн шинжилгээг хэрэглэдэг. Ингэхдээ хүчин зүйлүүд хоорондоо хамаарал багатай , харин нэг хүчин зүйлд орсон шинж тэмдгүүд хоорондоо илүү холбоотой байна гэж үзнэ.
Хүчин зүйлийн шинжилгээний олон аргуудаас varimax эргүүлэлт бүхий гүл бүрдүүлэгчийн аргыг хэрэглэе.
Үүүний тулд цэсээс дараах котандыг сонгож хэрэглэнэ.
SPSS программын хэрэглээ- 2
Судалгааны мэдээллийн шинжилгээ хийх SPSS программын хэрэглээ-2
Судалгааны мэдээллийг боловсруулахад зориулсан олон тооны программ зохиогдсон ба тэдгээрээ сүүлийн үед нилээд өргөн хэрэглэгдээд байгаа нь SPSS программ юм. SPSS программын гол давуу тал нь нийгэм, хүмүүнлэгийн ухааныханд зориулсан хэрэглэхэд хялбар Windows-ын ажилладаг бусад програттуудтай мэдээлэл солилцох өргөн боломжтой.
Monday, April 16, 2007
Хүчин зүйлийн шинжилгээний дүн
Communalities
| | Initial | Extraction |
| Delgermaa | 1,000 | ,834 |
| Gandi | 1,000 | ,813 |
| Tuya | 1,000 | ,884 |
| Dolgormaa | 1,000 | ,712 |
| Arvin | 1,000 | ,660 |
| Uyanga | 1,000 | ,817 |
| Bolormaa | 1,000 | ,824 |
| Oyunbileg | 1,000 | ,822 |
| Lhavgabud | 1,000 | ,673 |
| Tselmeg | 1,000 | ,899 |
Extraction Method: Principal Component Analysis.
Total Variance Explained
| Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
| Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
| 1 | 2,318 | 23,179 | 23,179 | 2,318 | 23,179 | 23,179 |
| 2 | 1,700 | 16,996 | 40,174 | 1,700 | 16,996 | 40,174 |
| 3 | 1,461 | 14,608 | 54,782 | 1,461 | 14,608 | 54,782 |
| 4 | 1,369 | 13,691 | 68,473 | 1,369 | 13,691 | 68,473 |
| 5 | 1,090 | 10,901 | 79,374 | 1,090 | 10,901 | 79,374 |
| 6 | ,785 | 7,849 | 87,224 | | | |
| 7 | ,527 | 5,273 | 92,497 | | | |
| 8 | ,400 | 3,996 | 96,493 | | | |
| 9 | ,309 | 3,086 | 99,579 | | | |
| 10 | ,042 | ,421 | 100,000 | | | |
Extraction Method: Principal Component Analysis.
Component Matrix(a)
| | Component | ||||
| 1 | 2 | 3 | 4 | 5 | |
| Delgermaa | ,654 | -,314 | ,436 | -,147 | -,310 |
| Gandi | -,067 | ,691 | -,292 | ,291 | ,401 |
| Tuya | ,298 | ,680 | ,182 | ,240 | -,492 |
| Dolgormaa | -,646 | ,383 | ,342 | -,155 | ,081 |
| Arvin | -,491 | -,364 | ,375 | -,317 | ,214 |
| Uyanga | -,482 | -,400 | ,101 | ,617 | ,182 |
| Bolormaa | ,497 | -,344 | ,070 | ,658 | ,145 |
| Oyunbileg | ,430 | -,188 | -,710 | -,219 | ,222 |
| Lhavgabud | ,487 | ,147 | ,161 | -,445 | ,436 |
| Tselmeg | -,487 | -,216 | -,591 | -,145 | -,495 |
Extraction Method: Principal Component Analysis.
a 5 components extracted.
Descriptive Statistics
| | Mean | Std. Deviation | Analysis N |
| Delgermaa | 2,96 | 2,546 | 28 |
| Gandi | 2,96 | 1,972 | 28 |
| Tuya | 4,39 | 2,514 | 28 |
| Dolgormaa | 5,89 | 2,299 | 28 |
| Bolormaa | 5,18 | 1,945 | 28 |
| Arvin | 4,86 | 2,592 | 28 |
| Uyanga | 5,71 | 2,760 | 28 |
| Tselmeg | 6,61 | 2,644 | 28 |
| Oyunbileg | 7,68 | 2,262 | 28 |
| Lhavgabud | 8,43 | 1,913 | 28 |
Correlation Matrix
| | | Delgermaa | Gandi | Tuya | Dolgormaa | Bolormaa | Arvin | Uyanga | Tselmeg | Oyunbileg | Lhavgabud |
| Correlation | Delgermaa | 1,000 | -,428 | ,095 | -,374 | ,248 | -,074 | -,291 | -,371 | ,024 | ,148 |
| | Gandi | -,428 | 1,000 | ,227 | ,089 | -,085 | -,204 | -,084 | -,195 | ,047 | -,065 |
| | Tuya | ,095 | ,227 | 1,000 | -,018 | ,008 | -,395 | -,319 | -,216 | -,244 | -,036 |
| | Dolgormaa | -,374 | ,089 | -,018 | 1,000 | -,418 | ,209 | ,077 | -,013 | -,434 | -,141 |
| | Bolormaa | ,248 | -,085 | ,008 | -,418 | 1,000 | -,237 | ,203 | -,332 | ,115 | -,031 |
| | Arvin | -,074 | -,204 | -,395 | ,209 | -,237 | 1,000 | ,129 | -,019 | -,236 | -,181 |
| | Uyanga | -,291 | -,084 | -,319 | ,077 | ,203 | ,129 | 1,000 | ,091 | -,318 | -,334 |
| | Tselmeg | -,371 | -,195 | -,216 | -,013 | -,332 | -,019 | ,091 | 1,000 | ,059 | -,376 |
| | Oyunbileg | ,024 | ,047 | -,244 | -,434 | ,115 | -,236 | -,318 | ,059 | 1,000 | ,101 |
| | Lhavgabud | ,148 | -,065 | -,036 | -,141 | -,031 | -,181 | -,334 | -,376 | ,101 | 1,000 |
Component Matrix(a)
| | Component | ||||
| 1 | 2 | 3 | 4 | 5 | |
| Delgermaa | ,654 | -,314 | ,436 | -,147 | -,310 |
| Gandi | -,067 | ,691 | -,292 | ,291 | ,401 |
| Tuya | ,298 | ,680 | ,182 | ,240 | -,492 |
| Dolgormaa | -,646 | ,383 | ,342 | -,155 | ,081 |
| Arvin | -,491 | -,364 | ,375 | -,317 | ,214 |
| Uyanga | -,482 | -,400 | ,101 | ,617 | ,182 |
| Bolormaa | ,497 | -,344 | ,070 | ,658 | ,145 |
| Oyunbileg | ,430 | -,188 | -,710 | -,219 | ,222 |
| Lhavgabud | ,487 | ,147 | ,161 | -,445 | ,436 |
| Tselmeg | -,487 | -,216 | -,591 | -,145 | -,495 |
Extraction Method: Principal Component Analysis.
a 5 components extracted.
Descriptive Statistics
| | Mean | Std. Deviation | Analysis N |
| Delgermaa | 2,96 | 2,546 | 28 |
| Gandi | 2,96 | 1,972 | 28 |
| Tuya | 4,39 | 2,514 | 28 |
| Dolgormaa | 5,89 | 2,299 | 28 |
| Bolormaa | 5,18 | 1,945 | 28 |
| Arvin | 4,86 | 2,592 | 28 |
| Uyanga | 5,71 | 2,760 | 28 |
| Tselmeg | 6,61 | 2,644 | 28 |
| Oyunbileg | 7,68 | 2,262 | 28 |
| Lhavgabud | 8,43 | 1,913 | 28 |
Total Variance Explained
| Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | ||||||
| | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % |
| 1 | 2,318 | 23,179 | 23,179 | 2,318 | 23,179 | 23,179 | 1,731 | 17,311 | 17,311 |
| 2 | 1,700 | 16,996 | 40,174 | 1,700 | 16,996 | 40,174 | 1,625 | 16,254 | 33,565 |
| 3 | 1,461 | 14,608 | 54,782 | 1,461 | 14,608 | 54,782 | 1,589 | 15,885 | 49,450 |
| 4 | 1,369 | 13,691 | 68,473 | 1,369 | 13,691 | 68,473 | 1,551 | 15,505 | 64,956 |
| 5 | 1,090 | 10,901 | 79,374 | 1,090 | 10,901 | 79,374 | 1,442 | 14,419 | 79,374 |
| 6 | ,785 | 7,849 | 87,224 | | | | | | |
| 7 | ,527 | 5,273 | 92,497 | | | | | | |
| 8 | ,400 | 3,996 | 96,493 | | | | | | |
| 9 | ,309 | 3,086 | 99,579 | | | | | | |
| 10 | ,042 | ,421 | 100,000 | | | | | | |
Extraction Method: Principal Component Analysis.
Component Matrix(a)
| | Component | ||||
| 1 | 2 | 3 | 4 | 5 | |
| Delgermaa | ,654 | -,314 | ,436 | -,147 | -,310 |
| Dolgormaa | -,646 | ,383 | ,342 | -,155 | |
| Arvin | -,491 | -,364 | ,375 | -,317 | ,214 |
| Lhavgabud | ,487 | ,147 | ,161 | -,445 | ,436 |
| Gandi | | ,691 | -,292 | ,291 | ,401 |
| Tuya | ,298 | ,680 | ,182 | ,240 | -,492 |
| Oyunbileg | ,430 | -,188 | -,710 | -,219 | ,222 |
| Tselmeg | -,487 | -,216 | -,591 | -,145 | -,495 |
| Bolormaa | ,497 | -,344 | | ,658 | ,145 |
| Uyanga | -,482 | -,400 | ,101 | ,617 | ,182 |
Extraction Method: Principal Component Analysis.
a 5 components extracted.
Rotated Component Matrix(a)
| | Component | ||||
| 1 | 2 | 3 | 4 | 5 | |
| Oyunbileg | ,892 | | | | |
| Dolgormaa | -,685 | -,148 | | ,322 | -,342 |
| Tuya | -,244 | ,903 | | | |
| Arvin | -,397 | -,682 | | -,140 | -,134 |
| Tselmeg | ,196 | -,128 | -,860 | | -,322 |
| Lhavgabud | ,229 | | ,748 | | -,235 |
| Gandi | | ,307 | ,179 | ,828 | |
| Delgermaa | | ,197 | ,324 | -,819 | ,112 |
| Bolormaa | ,232 | ,132 | ,154 | -,161 | ,838 |
| Uyanga | -,310 | -,380 | -,350 | ,184 | ,648 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a Rotation converged in 9 iterations.
Component Transformation Matrix
| Component | 1 | 2 | 3 | 4 | 5 |
| 1 | ,554 | ,453 | ,547 | -,388 | ,193 |
| 2 | -,251 | ,646 | ,249 | ,558 | -,382 |
| 3 | -,770 | -,031 | ,458 | -,422 | ,137 |
| 4 | -,144 | ,316 | -,233 | ,267 | ,868 |
| 5 | ,128 | -,525 | ,612 | ,537 | ,211 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
Component Score Coefficient Matrix
| | Component | ||||
| 1 | 2 | 3 | 4 | 5 | |
| Delgermaa | -,048 | ,115 | ,096 | -,520 | ,012 |
| Gandi | ,053 | ,130 | ,169 | ,577 | ,074 |
| Tuya | -,208 | ,605 | -,090 | -,075 | -,054 |
| Dolgormaa | -,366 | -,063 | ,083 | ,145 | -,190 |
| Bolormaa | ,081 | ,047 | ,058 | -,016 | ,570 |
| Arvin | -,203 | -,418 | ,122 | -,102 | -,084 |
| Uyanga | -,153 | -,193 | -,144 | ,130 | ,486 |
| Tselmeg | ,184 | ,040 | -,585 | -,091 | -,235 |
| Oyunbileg | ,554 | -,130 | ,013 | ,138 | -,084 |
| Lhavgabud | ,108 | -,165 | ,508 | ,048 | -,175 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Component Scores.
Component Score Coefficient Matrix
| | Component | ||||
| 1 | 2 | 3 | 4 | 5 | |
| Delgermaa | -,048 | ,115 | ,096 | -,520 | ,012 |
| Gandi | ,053 | ,130 | ,169 | ,577 | ,074 |
| Tuya | -,208 | ,605 | -,090 | -,075 | -,054 |
| Dolgormaa | -,366 | -,063 | ,083 | ,145 | -,190 |
| Bolormaa | ,081 | ,047 | ,058 | -,016 | ,570 |
| Arvin | -,203 | -,418 | ,122 | -,102 | -,084 |
| Uyanga | -,153 | -,193 | -,144 | ,130 | ,486 |
| Tselmeg | ,184 | ,040 | -,585 | -,091 | -,235 |
| Oyunbileg | ,554 | -,130 | ,013 | ,138 | -,084 |
| Lhavgabud | ,108 | -,165 | ,508 | ,048 | -,175 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Component Scores.
Component Score Covariance Matrix
| Component | 1 | 2 | 3 | 4 | 5 |
| 1 | 1,000 | ,000 | ,000 | ,000 | ,000 |
| 2 | ,000 | 1,000 | ,000 | ,000 | ,000 |
| 3 | ,000 | ,000 | 1,000 | ,000 | ,000 |
| 4 | ,000 | ,000 | ,000 | 1,000 | ,000 |
| 5 | ,000 | ,000 | ,000 | ,000 | 1,000 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Component Scores.
Эргүүлэгт хийсэн матрицаас судалгаанд оруулсан мэдээллийн эерэг,сөрөг шинжүүдийн хүчин зүйлүүдээр тодорхойлж өгдөг
Ашигласан ном:
- Череиков А.А “ Основы статистичекогүг анализа в программой системе SPSS”, Москва, 1994
- “SPSS Base 8.0 Applications Guide”, Chicago, 1998.
- “SPSS Base 8.0 User’s Guide”, Chicago, 1998