Torrent details for "Wood P. Understanding Structural Equation Models..of Rel. Betwee…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
20.8 MB
Info Hash:
35BD224E173F6F97B2A0AE1FFA38C485DADB85C2
Added By:
Added:
March 2, 2026, 1:37 a.m.
Stats:
|
(Last updated: March 2, 2026, 1:38 a.m.)
| File | Size |
|---|---|
| Wood P. Understanding Structural Equation Models..of Rel. Between Variables 2025.pdf | 20.8 MB |
Name
DL
Uploader
Size
S/L
Added
-
46.1 MB
[0
/
1]
2023-07-01
| Uploaded by FreeCourseWeb | Size 46.1 MB | Health [ 0 /1 ] | Added 2023-07-01 |
NOTE
SOURCE: Wood P. Understanding Structural Equation Models..of Rel. Between Variables 2025
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format
The field of structural equation models (SEMs) is rapidly expanding. A researcher who wants to select and apply SEMs to their data faces several challenges: (1) They can often become extremely complex, with many parameters to estimate. Small samples or those with relatively few variables often cannot support this complexity reliably, leading to under-identified models, poor power, or unstable estimates; (2) Researchers must choose an appropriate measurement model, and these choices are not often well understood in advance; (3) No single “correct” SEM exists, although “better” ones do, and the existence of competing plausible alternatives is often overlooked; and (4) Critical examination of model assumptions involving the linearity of parameters and the existence of influential or outlying observations is often overlooked. This book provides an overview of SEMs as a flexible, skeptical, and iterative scientific process
×


