Cargando…
Basics of structural equation modeling /
With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The pop...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Thousand Oaks, Calif. ; London :
Sage,
©1998.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | EBSCO_ocn811140594 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---|nuuu | ||
| 008 | 120926s1998 caua ob 001 0 eng d | ||
| 010 | |z 97004839 | ||
| 040 | |a N$T |b eng |e pn |c N$T |d OCLCQ |d OCLCF |d YDXCP |d COO |d OCLCQ |d INTCL |d UIU |d AGLDB |d AUW |d ORZ |d OTZ |d MERER |d OCLCQ |d SGPBL |d OCLCQ |d VTS |d RRP |d U3W |d NLE |d INT |d CEF |d OCLCQ |d UKMGB |d STF |d LEAUB |d UPM |d M8D |d OCLCO |d HS0 |d AGL |d OCLCO |d AJS |d OCLCO |d OCLCQ |d OCLCO | ||
| 015 | |a GBB6G1919 |2 bnb | ||
| 016 | 7 | |a 017422950 |2 Uk | |
| 019 | |a 1109297346 |a 1125933100 |a 1136483503 | ||
| 020 | |a 9781452250205 |q (electronic bk.) | ||
| 020 | |a 1452250200 |q (electronic bk.) | ||
| 020 | |a 9781483345109 |q (ebook) | ||
| 020 | |a 1483345106 |q (ebook) | ||
| 020 | |z 0803974086 | ||
| 020 | |z 9780803974081 | ||
| 020 | |z 0803974094 | ||
| 020 | |z 9780803974098 | ||
| 029 | 1 | |a DEBBG |b BV043146309 | |
| 029 | 1 | |a DEBSZ |b 421361204 | |
| 029 | 1 | |a GBVCP |b 804110581 | |
| 029 | 1 | |a UKMGB |b 017422950 | |
| 035 | |a (OCoLC)811140594 |z (OCoLC)1109297346 |z (OCoLC)1125933100 |z (OCoLC)1136483503 | ||
| 037 | |a 9781452250205 |b Ingram Content Group | ||
| 050 | 4 | |a QA278 |b .M374 1998eb | |
| 070 | 0 | |a QA278 |b .M374 1998eb | |
| 072 | 7 | |a MAT |x 029020 |2 bisacsh | |
| 082 | 0 | 4 | |a 519.535 |2 22 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Maruyama, Geoffrey. | |
| 245 | 1 | 0 | |a Basics of structural equation modeling / |c Geoffrey M. Maruyama. |
| 260 | |a Thousand Oaks, Calif. ; |a London : |b Sage, |c ©1998. | ||
| 300 | |a 1 online resource (xvi, 311 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 299-305) and index. | ||
| 520 | |a With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |g 1. |t What Does It Mean to Model Hypothesized Causal Processes With Nonexperimental Data? -- |g 2. |t History and Logic of Structural Equation Modeling -- |g 3. |t Basics: Path Analysis and Partitioning of Variance -- |g 4. |t Effects of Collinearity on Regression and Path Analysis -- |g 5. |t Effects of Random and Nonrandom Error on Path Models -- |g 6. |t Recursive and Longitudinal Models: Where Causality Goes in More Than One Direction and Where Data Are Collected Over Time -- |g 7. |t Introducing the Logic of Factor Analysis and Multiple Indicators to Path Modeling -- |g 8. |t Putting It All Together: Latent Variable Structural Equation Modeling -- |g 9. |t Using Latent Variable Structural Equation Modeling to Examine Plausibility of Models -- |g 10. |t Logic of Alternative Models and Significance Tests -- |g 11. |t Variations on the Basic Latent Variable Structural Equation Model -- |g 12. |t Wrapping Up -- |g App. A |t Brief Introduction to Matrix Algebra and Structural Equation Modeling. |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 0 | |a Social sciences |x Statistical methods. | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 6 | |a Sciences sociales |x Méthodes statistiques. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Multivariate Analysis. |2 bisacsh | |
| 650 | 7 | |a Multivariate analysis |2 fast | |
| 650 | 7 | |a Social sciences |x Statistical methods |2 fast | |
| 650 | 7 | |a Strukturgleichungsmodell |2 gnd | |
| 650 | 7 | |a Multivariate Analyse |2 gnd | |
| 650 | 7 | |a Sozialwissenschaften |2 gnd | |
| 650 | 1 | 7 | |a Structurele vergelijkingen. |2 gtt |
| 650 | 1 | 7 | |a Multivariate analyse. |2 gtt |
| 776 | 0 | 8 | |i Print version: |a Maruyama, Geoffrey. |t Basics of structural equation modeling. |d Thousand Oaks, Calif. ; London : Sage, ©1998 |z 0803974086 |w (DLC) 97004839 |w (OCoLC)38885110 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=478015 |z Texto completo |
| 938 | |a Sage Publications |b SAGE |n SAGE000001280 | ||
| 938 | |a Sage Publications |b SAGE |n EDZ0000159001 | ||
| 938 | |a EBSCOhost |b EBSC |n 478015 | ||
| 938 | |a YBP Library Services |b YANK |n 9621438 | ||
| 938 | |a YBP Library Services |b YANK |n 11566680 | ||
| 994 | |a 92 |b IZTAP | ||