Structural Equation Modeling
Structural Equation Modeling is a multivariate statistical technique that specifies and tests hypothesized relationships among observed and latent variables through a system of simultaneous equations, distinguishing itself by its capacity to model complex constructs and measurement errors within a single integrated framework.
18.5K
Publications
3M
Citations
36.8K
Authors
6.8K
Institutions
Publications per year
2017–2026
7.5K
18.5K
Coefficient Alpha and the Internal Structure of Tests
Lee J. Cronbach · Psychometrika · 1951 · 43.2K citations · Full text
Social Sciences, Educational Assessment, Educational Measurement +14
Multiple regression: testing and interpreting interactions
Choice Reviews Online · 1992 · 37.2K citations
1–5 of 18.5K
36.8K
79
h-index
57
h-index
55
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University of California, Los Angeles, United States
93 publications · 186.3K citations
53
h-index
46
h-index
1–5 of 36.8K
6.8K
University of California, Los Angeles
Los Angeles, United States
93 h-index
296 publications
195.6K citations
Arizona State University
Tempe, United States
89 h-index
311 publications
73K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
77 h-index
304 publications
102.3K citations
University of Michigan
Ann Arbor, United States
76 h-index
227 publications
271K citations
Michigan State University
East Lansing, United States
74 h-index
281 publications
55.8K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
68 h-index
318 publications
52.1K citations

Pennsylvania State University
State College, United States
63 h-index
209 publications
32.6K citations
Utrecht University
Utrecht, The Netherlands
62 h-index
227 publications
33.3K citations
1–8 of 6.8K
SEM · 665 publications · 241.3K citations
142
h-index
MBR · 348 publications · 59.3K citations
104
h-index
223 publications · 105.7K citations
103
h-index
254 publications · 104.8K citations
88
h-index
288 publications · 30.7K citations
86
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1–5