Example: confidence
lincom — Linear combinations of parameters
Statistics > SEM (structural equation modeling) > Testing and CIs > Linear combinations of parameters Description lincom is a postestimation command for use after sem, gsem, and nearly all Stata estimation commands. lincom computes point estimates, standard errors, z statistics, p-values, and confidence intervals
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Syntax - Stata
www.stata.com2cluster kmeans and kmedians— Kmeans and kmedians cluster analysis Options Main k(#) is required and indicates that # groups are to be formed by the cluster analysis.
Syntax Description - Stata
www.stata.com2substr()— Extract substring Diagnostics In substr(s, b, l) and substr(s, b), if b describes a position before the beginning of the string or after the end, "" is returned.
Title stata.com generate — Create or change …
www.stata.comTitle stata.com generate — Create or change contents of variable SyntaxMenuDescriptionOptions Remarks and examplesMethods and formulasReferencesAlso see Syntax Create new variable generate type newvar
SyntaxDescriptionRemarks and examplesAlso see
www.stata.commacro— Macro definition and manipulation 3 Macro extended functions related to matrices rownamesjcolnamesjrowfullnamesjcolfullnames matname roweqjcoleq
Title stata.com graph box — Box plots
www.stata.comgraph box— Box plots 3 Menu Graphics > Box plot Syntax graph box yvars if in weight, options graph hbox yvars if in weight, options where yvars is a varlist options Description
Title stata
www.stata.comarea options — Options for specifying the look of special areas 3 Also see [G-2] graph dot — Dot charts (summary statistics)
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www.stata.com2cluster dendrogram— Dendrograms for hierarchical cluster analysis The height of the vertical lines and the range of the (dis)similarity axis give visual clues about the
Title stata.com putexcel — Export results to an Excel …
www.stata.computexcel— Export results to an Excel file 3 export options Description Main overwritefmt overwrite existing cell formatting when exporting new content
destring — Convert string variables to numeric ... - …
www.stata.comTitle stata.com destring — Convert string variables to numeric variables and vice versa SyntaxMenuDescription Options for destringOptions for tostringRemarks and …
Title stata.com gettoken — Low-level parsing
www.stata.comTitle stata.com gettoken — Low-level parsing SyntaxDescriptionOptionsRemarks and examplesAlso see Syntax gettoken emname1 emname2: emname3, parse("pchars") quotes qed(lmacname) match(lmacname) bind
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The Basics of Structural Equation Modeling
www.lexjansen.comThe Basics of Structural Equation Modeling Diana Suhr, Ph.D. University of Northern Colorado Abstract Structural equation modeling (SEM) is a methodology for representing, estimating, and testing a network of relationships between variables (measured variables and latent constructs).
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www.stata.comSEM stands for structural equation model. Structural equation modeling is 1. A notation for specifying SEMs. 2. A way of thinking about SEMs. 3. Methods for estimating the parameters of SEMs. Stata’s sem and gsem commands fit these models: sem fits standard linear SEMs, and gsem fits generalized SEMs.
PENGGUNAAN METODE STRUCTURAL EQUATION …
lib.unnes.ac.idStructural Equation Modeling lebih dikenal SEM merupakan salah satu teknik analisis statistik yang digunakan untuk membangun dan menguji model statistik dalam bentuk model-model sebab akibat (Prastuti, 2011: 14). Analisis SEM menggabungkan analisis regresi, faktor, dan jalur sehingga secara simultan