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Type of statistical model
Multilevel models are statistical models of parameters that vary at more than one level. An example could be a model of student performance that contains
Multilevel_model
Statistical model containing both fixed effects and random effects
Snijders, Bosker, T.A.B, R.J (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Vol. 2nd edition. London:Sage.{{cite
Mixed_model
Statistical regression technique
Multilevel regression with poststratification (MRP) is a statistical technique used for correcting model estimates for known differences between a sample
Multilevel regression with poststratification
Multilevel_regression_with_poststratification
Point where a person ceases employment permanently
range of research models through which psychologists and other researchers attempt to understand retirement. These include: Multilevel model of retirement:
Retirement
One application of multilevel modeling (MLM) is the analysis of repeated measures data. Multilevel modeling for repeated measures data is most often discussed
Multilevel modeling for repeated measures
Multilevel_modeling_for_repeated_measures
Class of statistical models
of X on a given individual. GLMMs are also referred to as multilevel models and as mixed model. In general, fitting GLMMs is more computationally complex
Generalized_linear_model
Statistical model
econometrics, a random effects model, also called a variance components model, is a statistical model where the model effects are random variables. It
Random_effects_model
Computer security model
the U.S. Department of Defense (DoD) multilevel security (MLS) policy. The model is a formal state transition model of computer security policy that describes
Bell–LaPadula_model
Regression models accounting for possible errors in independent variables
In statistics, an errors-in-variables model or a measurement error model is a regression model that accounts for measurement errors in the independent
Errors-in-variables_model
Form of causal modeling that fit networks of constructs to data
multi-group modeling, longitudinal modeling, partial least squares path modeling, latent growth modeling and hierarchical or multilevel modeling. SEM researchers
Structural_equation_modeling
S-shaped curve
generalized logistic function in epidemiological modeling is its relatively easy application to the multilevel model framework, where information from different
Logistic_function
Statistical model for a binary dependent variable
In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent
Logistic_regression
Method for model fitting in statistics
off-diagonal entries of the covariance matrix of the errors are null. The fit of a model to a data point is measured by its residual, r i {\displaystyle r_{i}}
Weighted_least_squares
Statistical regression where the dependent variable can take only two values
In statistics, a probit model is a type of regression where the dependent variable can take only two values, for example married or not married. The word
Probit_model
Statistical model
effects model is a statistical model in which the model parameters are fixed or non-random quantities. This is in contrast to random effects models and mixed
Fixed_effects_model
Theorem related to ordinary least squares
class of linear unbiased estimators, if the errors in the linear regression model are uncorrelated, have equal variances and expectation value of zero. The
Gauss–Markov_theorem
Statistical estimation technique
Christian B. (2007). "Generalized Least Squares Inference in Panel and Multilevel Models with Serial Correlation and Fixed Effects". Journal of Econometrics
Generalized_least_squares
Controversial marketing strategy
professor who spent 40 years researching and teaching the pitfalls of multilevel marketing": "You'd be hard-pressed to find anyone making over $1.50 an
Multi-level_marketing
Regression for more than two discrete outcomes
problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes
Multinomial logistic regression
Multinomial_logistic_regression
Statistical modeling method
1214/aos/1176343056. JSTOR 2958945. Goldstein, H. (1986). "Multilevel Mixed Linear Model Analysis Using Iterative Generalized Least Squares". Biometrika
Linear_regression
Statistical technique
S2CID 237204627. Grimm, Kevin J. (2017). Growth modeling : structural equation and multilevel modeling approaches. Nilam Ram, Ryne Estabrook. New York
Latent_growth_modeling
Part of Bronfenbrenner's ecological system theory
PPCT model, appropriate statistical analyses of PPCT data would likely include explorations of mediation and moderation effects, as well as multilevel modeling
Bioecological_model
marginal models (Heagerty & Zeger, 2000) are a technique for obtaining regression estimates in multilevel modeling, also called hierarchical linear models. People
Marginal_model
Regularization technique for ill-posed problems
Tikhonov) is a method of estimating the coefficients of multiple-regression models in scenarios where the variables are highly correlated. It has been used
Ridge_regression
Class of statistical models
Mixed model Fixed effects model Generalized linear mixed model Linear regression Mixed-design analysis of variance Multilevel model Random effects model Repeated
Nonlinear_mixed-effects_model
Application of computer system
Multilevel security or multiple levels of security (MLS) is the application of a computer system to process information with incompatible classifications
Multilevel_security
Regression model for ordinal dependent variables
Andrew; Hill, Jennifer (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. New York: Cambridge University Press. pp. 119–124. ISBN 978-0-521-68689-1
Ordered_logit
Statistical method
between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a
Partial least squares regression
Partial_least_squares_regression
Statistical Markov model
data structures such as multilevel data. A complete overview of the latent Markov models, with special attention to the model assumptions and to their
Hidden_Markov_model
Set of statistical processes for estimating the relationships among variables
In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome
Regression_analysis
Concept in statistical mathematics
the alternative: a score-based approach with application to segmented modelling" (PDF). Journal of Statistical Computation and Simulation. 86 (15): 3059–3067
Segmented_regression
Choice between two or more discrete alternatives
In economics, discrete choice models, or qualitative choice models, describe, explain, and predict choices between two or more discrete alternatives, such
Discrete_choice
Method for solving certain optimization problems
is used to find the maximum likelihood estimates of a generalized linear model, and in robust regression to find an M-estimator, as a way of mitigating
Iteratively reweighted least squares
Iteratively_reweighted_least_squares
Moving average and polynomial regression method for smoothing data
regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model. In some fields, LOESS is known and commonly referred
Local_regression
Statistical test
In 2005, Andrew Gelman proposed a new interpretation of ANOVA, as a multilevel model, framing it as a way to describe hierarchical sources of variation
Two-way_analysis_of_variance
Statistical modeling technique
function under the full model, while V ~ τ {\displaystyle {\tilde {V}}_{\tau }} is the expected loss function under the intercept-only model. Because quantile
Quantile_regression
Statistical framework for analyzing data from dyads
well-being. The model can be implemented in several statistical frameworks, most commonly multilevel models and structural equation models. The model has also
Actor–partner interdependence model
Actor–partner_interdependence_model
Approximation method in statistics
form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n). It is used in some forms
Non-linear_least_squares
Method for estimating the unknown parameters in a linear regression model
squares method for choosing the unknown parameters in a linear regression model by the principle of least squares: minimizing the sum of the squares of
Ordinary_least_squares
Statistics concept
that the model fits the data well. For example, if the functional form of the model does not match the data, R2 can be high despite a poor model fit. Anscombe's
Regression_validation
Regression analysis for modeling ordinal data
learning. Ordinal regression can be performed using a generalized linear model (GLM) that fits both a coefficient vector and a set of thresholds to a dataset
Ordinal_regression
System of elements that are subordinated to each other
descriptions of redirect targets Layer (disambiguation) Multilevel model – Type of statistical model Multitree – Type of graph in mathematics Ordinary (officer) –
Hierarchy
Personality construct
Matthews, Jacob M. (April 2022). "The Machiavellian Organization: A Multilevel Model to Understand Decision Making in Organizations". Group & Organization
Machiavellianism_(psychology)
Type of unsustainable business model
you make is based on your sales to the public, it may be a legitimate multilevel marketing plan. If the money you make is based on the number of people
Pyramid_scheme
Approximation method in statistics
best-fit model by minimizing the sum of the squared residuals—the differences between observed values and the values predicted by the model. Least squares
Least_squares
Statistical linear model
general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that
General_linear_model
Generalized method of moments estimator in econometrics
estimator is a generalized method of moments estimator used to estimate dynamic models of panel data. It was proposed in 1991 by Manuel Arellano and Stephen Bond
Arellano–Bond_estimator
Collection of statistical models
the analysis of variance as a way of understanding and structuring multilevel models—not as an alternative to regression but as a tool for summarizing
Analysis_of_variance
Statistical technique
squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational errors on both dependent and independent
Total_least_squares
Statistical model
a Bayesian way. Fay–Herriot models can be characterized either as mixed models, or in a hierarchical form, or a multilevel regression with poststratification
Fay–Herriot_model
Statistical optimality criterion
include multiple explanators, constraints and regularization, e.g., a linear model with linear constraints: minimize S ( β , b ) = ∑ i | x i ′ β + b − y i
Least_absolute_deviations
Least squares approximation of linear functions to data
(WLS) are used when heteroscedasticity is present in the error terms of the model. Generalized least squares (GLS) is an extension of the OLS method, that
Linear_least_squares
Regression algorithm
least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley Efron, Trevor Hastie, Iain
Least-angle_regression
Metric for fit of statistical models
The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy
Goodness_of_fit
Species of flowering plant
V.; Dedrick, Don (2007). Anthropology of color interdisciplinary multilevel modeling. J. Benjamins Pub. Co. pp. 418. ISBN 9789027232434. OCLC 928983471
Viburnum_opulus
Statistical model for count data
statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression
Poisson_regression
Statistics concept
relationship between the independent variable x and the dependent variable y is modeled as a polynomial in x. Polynomial regression fits a nonlinear relationship
Polynomial_regression
Concept that city layouts favor automobiles over other modes of transportation
Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model: A Case Study of Changchun, China". International Journal of Environmental
Car_dependency
Linear regression model with a single explanatory variable
In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample
Simple_linear_regression
Statistics concept
want to estimate the mean of that distribution (the so-called location model). In this case, the errors are the deviations of the observations from the
Errors_and_residuals
Python package
to build and solve Bayesian generalized (non-)linear multivariate multilevel models. Bambi is an open source project, developed by the community and is
Bambi_(software)
Industrial modeling framework
Multilevel Flow Modeling (MFM) is a framework for modeling industrial processes. MFM is a kind of functional modeling employing the concepts of abstraction
Multilevel_Flow_Modeling
Computer system model
develops the model as a way to formalize the notion of information integrity, especially as compared to the requirements for multilevel security (MLS)
Clark–Wilson_model
Approach to generating value
ISSN 1877-0428. Harpan, Ioana; Draghici, Anca (20 Mar 2014). "Debate on the Multilevel Model of the Human Capital Measurement". Procedia - Social and Behavioral
Knowledge_economy
Method of statistical analysis
Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables
Bayesian_linear_regression
Sampling method
"An Inconvenient Dataset: Bias and Inappropriate Inference in the Multilevel Model" (PDF). Quality & Quantity. 48: 1619–1649. doi:10.1007/s11135-013-9865-x
Nonprobability_sampling
Statistical model
fully general statistical model for examining discrete choices. It overcomes three important limitations of the standard logit model by allowing for random
Mixed_logit
Type of numerical analysis
to calibrate the predicted probabilities of supervised machine learning models. Isotonic regression for the simply ordered case with univariate x , y {\displaystyle
Isotonic_regression
Statistical estimation method
are used to model binary choice. Binary regression models can be interpreted as latent variable models, together with a measurement model; or as probabilistic
Binary_regression
Processing scheduling algorithm
In computer science, a multilevel feedback queue is a scheduling algorithm. Scheduling algorithms are designed to have some process running at all times
Multilevel_feedback_queue
Computer security model
MAC Multilevel security – MLS Security-Enhanced Linux Security Modes of Operation Take-grant protection model Clark–Wilson model Bell–LaPadula model Biba
Biba_Model
Visualization method
Ordered probit Poisson Multilevel model Fixed effects Random effects Linear mixed-effects model Nonlinear mixed-effects model Nonlinear regression Nonparametric
L-curve
American businessman
knocking, because salespeople were exaggerating medical claims. A multilevel model that lured people to buy $5,000 in inventory offended VanderSloot's
Frank_VanderSloot
Romance kept private from others
(December 19, 2013). "Managing Concealable Stigmas at Work: A Review and Multilevel Model". Journal of Management. doi:10.1177/0149206313515518. Clair, Judith
Romantic_secrecy
Presence of greater variability in a data set than would be expected
available for fitting this type of multilevel model. In this case, if the variance of the normal variable is zero, the model reduces to the standard (undispersed)
Overdispersion
Concept in regression analysis mathematics
when the learned model suffers from poor generalization. RLS can be used in such cases to improve the generalizability of the model by constraining it
Regularized_least_squares
Association for Psychedelic Studies Multi-infarct dementia Multilevel model Multilevel models Multisensory integration Multimodal therapy Multiple-complex
Index_of_psychology_articles
Branch of psychology
Institution Large-group capacitation Multilevel model Photovoice Program evaluation Psychotherapy and social action model Social capital Social support Systems
Community_psychology
method; multilevel models, including fixed effects and random effects models; and the Heckman correction for selection bias. Economic models are often
Heterogeneity_in_economics
Adjusting to and understanding change in a workplace
conceptual analysis and model. The Journal of Applied Psychology, 91(6), 1189–207. Chen, G., Thomas, B., & Wallace, J. C. (2005). A multilevel examination of the
Adaptive_performance
Mathematical field
Equation-free modeling Integrated computational materials engineering Multilevel model Multiphysics Multiresolution analysis Space mapping Chen, Shiyi; Doolen
Multiscale_modeling
British statistician
the analysis of longitudinal data, including multilevel event history models and simultaneous equation models" and their "applications in demography and
Fiona_Steele
Welsh human geographer (born 1953)
focuses on the quantitative modelling of social science data with complex structure through the application of multilevel models; especially in relation to
Kelvyn_Jones
Proposed mechanism of evolution
considered. He and others have continued to develop group selection models. He ties the multilevel selection theory regarding humans to another theory, gene–culture
Group_selection
Constrained least squares problem
an oblique-projected Landweber method to a model of supervised learning". Mathematical and Computer Modelling. 43 (7–8): 892. doi:10.1016/j.mcm.2005.12
Non-negative_least_squares
statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes
Multivariate_probit_model
statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that
Multinomial_probit
Regression analysis
analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent
Nonlinear_regression
Kind of ratio
behavior of residuals in regressions. Consider the simple linear regression model Y = α 0 + α 1 X + ε . {\displaystyle Y=\alpha _{0}+\alpha _{1}X+\varepsilon
Studentized_residual
package, time series Minitab – general statistics package MLwiN – multilevel models (free to UK academics) NAG Numerical Library – comprehensive math
List_of_statistical_software
Multilevel, non-directly observable 'probability engine'
layered hidden Markov model (LHMM) is a statistical model derived from the hidden Markov model (HMM). A layered hidden Markov model consists of N levels
Layered_hidden_Markov_model
Specialized form of regression analysis, in statistics
some limitations of traditional regression analysis. A regression analysis models the relationship between one or more independent variables and a dependent
Robust_regression
British racing driver (born 1939)
Sabel, Clive E.; Smith, James (1 June 2016). "Formula for success: Multilevel modelling of Formula One Driver and Constructor performance, 1950–2014". Journal
Jackie_Stewart
design of experiments software Multifactor dimensionality reduction Multilevel model Multilinear principal component analysis Multinomial distribution Multinomial
List_of_statistics_articles
British statistician (1939–2020)
2020) was a British statistician known for his contributions to multilevel modelling methodology, statistical software, social statistics, and for applying
Harvey_Goldstein
Concept in statistics
vector generalized linear models (VGLMs) was proposed to enlarge the scope of models catered for by generalized linear models (GLMs). In particular, VGLMs
Vector generalized linear model
Vector_generalized_linear_model
Estimation of the impact of marketing tactics on sales
Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. "Bayesian Methods for Media Mix Modeling with Carryover and Shape
Marketing_mix_modeling
MLwiN is a statistical software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov chain Monte Carlo (MCMC)
MLwiN
Statistical technique
estimating the unknown regression coefficients in a standard linear regression model. In PCR, instead of regressing the dependent variable on the explanatory
Principal component regression
Principal_component_regression
Lack of contact between an individual and society
234. PMID 17283291. Hawkley LC, Preacher KJ, Cacioppo JT (2007). "Multilevel modeling of social interactions and mood in lonely and socially connected
Social_isolation
MULTILEVEL MODEL
MULTILEVEL MODEL
Surname or Lastname
English and Irish (of Norman origin), and northern French
English and Irish (of Norman origin), and northern French : habitational name from any of several places in northern France, such as Nogent-sur-Oise, named with Latin Novientum, apparently an altered form of a Gaulish name meaning ‘new settlement’.The Anglo-Norman family of this name is descended from Fulke de Bellesme, lord of Nogent in Normandy, who was granted large estates around Winchester after the Conquest. His great-grandson was Hugh de Nugent (died 1213), who went to Ireland with Hugh de Lacy, and was granted lands in Bracklyn, County Westmeath. The family formed itself into a clan on the Irish model, of which the chief bore the hereditary title of Uinsheadun (Irish Uinnseadún), from their original seat at Winchester. They have been Earls of Westmeath since 1621. The name is now a common one in Ireland, and has been adopted there by some who have no connection with the clan.
Girl/Female
Arabic, Muslim
Example; Model; Demo
Boy/Male
Muslim
Model, Example
Boy/Male
Tamil
Ayilyam | அயீலà¯à®¯à®®
Model state of india
Ayilyam | அயீலà¯à®¯à®®
Girl/Female
Christian & English(British/American/Australian)
Model or Pattern
Surname or Lastname
English and Dutch
English and Dutch : from the medieval personal name Benedict (Latin Benedictus meaning ‘blessed’). This owed its popularity in the Middle Ages chiefly to St. Benedict of Norcia (c.480–550), who founded the Benedictine order of monks at Monte Cassino and wrote a monastic rule that formed a model for all subsequent rules. No doubt the meaning of the Latin word also contributed to its popularity as a personal name, especially in Romance countries.
Surname or Lastname
English and Scottish
English and Scottish : occupational name for a stonemason, Middle English, Old French mas(s)on. Compare Machen. Stonemasonry was a hugely important craft in the Middle Ages.Italian (Veneto) : from a short form of Masone.French : from a regional variant of maison ‘house’.George Mason (1725–92), the American colonial statesman who framed the VA Bill of Rights and Constitution, which was used as a model by Thomas Jefferson when drafting the Declaration of Independence, was a VA planter, fourth in descent from George Mason (?1629–?86), a royalist soldier of the English Civil War who had received land grants in VA. As well as being prominent in the affairs of VA, the family also produced the first governor of MI.
Boy/Male
Arabic, Muslim
Pioneers; Explorers; Guides; Leaders; Models
Surname or Lastname
English and French
English and French : nickname for a tall person, from Old English lang, long, Old French long ‘long’, ‘tall’ (equivalent to Latin longus).Irish (Ulster (Armagh) and Munster) : reduced Anglicized form of Gaelic Ó Longáin (see Langan).Chinese : from the name of an official treasurer called Long, who lived during the reign of the model emperor Shun (2257–2205 bc). his descendants adopted this name as their surname. Additionally, a branch of the Liu clan (see Lau 1), descendants of Liu Lei, who supposedly had the ability to handle dragons, was granted the name Yu-Long (meaning roughly ‘resistor of dragons’) by the Xia emperor Kong Jia (1879–1849 bc). Some descendants later simplified Yu-Long to Long and adopted it as their surname.Chinese : there are two sources for this name. One was a place in the state of Lu in Shandong province during the Spring and Autumn period (722–481 bc). The other source is the Xiongnu nationality, a non-Han Chinese people.Chinese : variant of Lang.Cambodian : unexplained.
Female
Japanese
(1-儀, 2-典, 3-則, 4-法) Japanese unisex name NORI means 1) "ceremony, regalia," 2) "code, precedent," 3) "model, rule, standard," 4) "law, rule."
Boy/Male
Muslim
Sample, Model, Paragon
Boy/Male
Hindu
Model state of india
Boy/Male
Egyptian
To model.
Boy/Male
Arabic, Muslim
Sample; Model; Paragon
Boy/Male
Arabic, Muslim
Model; Example
Girl/Female
Czech, Czechoslovakian, Danish, Finnish, German, Hebrew, Irish, Jewish, Polish
Friend; Beautiful; Model of Righteous Convert; Friendship
Girl/Female
Hindu, Indian, Traditional
Model; Idea
Boy/Male
Celebrity, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sanskrit, Sikh, Tamil, Telugu, Traditional
New; Role Model of World; Ever Fresh
Male
Japanese
(æ£å‰‡) Japanese name MASANORI means "model of justice."
Surname or Lastname
German
German : habitational name from any of several places so named, for example in Westphalia and Switzerland.German : nickname from Middle High German heiden ‘heathen’, Old High German heidano, apparently a derivative of heida ‘heath’, modeled on Latin paganus (see Pain 1). The nickname was sometimes used to refer to a Christian knight who had been on a Crusade to fight in the Holy Land.Jewish (Ashkenazic) : of uncertain origin; possibly a shortened form of any of various ornamental names formed with German Heide- ‘heath’, for example Heidenberg, Heidenkorn, Heidenkrug, Heidenwurzel.English : variant spelling of Hayden.Dutch : shortened form of vanderHeiden.
MULTILEVEL MODEL
MULTILEVEL MODEL
Girl/Female
Norse
Mother of Hoskuld.
Boy/Male
Muslim/Islamic
Most highly adored
Girl/Female
Christian & English(British/American/Australian)
Perfect
Boy/Male
English French
or abbreviation of Jonathan 'Jehovah has been gracious; has shown favor.
Girl/Female
Hindu
Morning
Girl/Female
Tamil
Success in life, Thought
Surname or Lastname
English
English : nickname from Old English stagga ‘male deer’, ‘stag’. In northern dialects of Middle English the term was also used of a young horse, perhaps under Scandinavian influence, and in some cases this meaning may lie behind the original application of the name.
Female
English
Elaborated form of English Anitra, ANNITRA means "favor; grace."
Girl/Female
Indian, Punjabi, Sikh
One Minded; Absorbed in Meditation of One
Girl/Female
Tamil
Goddess of will, Companion
MULTILEVEL MODEL
MULTILEVEL MODEL
MULTILEVEL MODEL
MULTILEVEL MODEL
MULTILEVEL MODEL
v. t.
To represent by an image, form, model, or resemblance.
p. pr. & vb. n.
of Model
imp. & p. p.
of Model
n.
One who models; hence, a worker in plastic art.
a.
Of the nature of a type; representing something by a form, model, or resemblance; emblematic; prefigurative.
n.
A rude model; the rudimentary, unfinished form of a thing.
v. t.
To represent by a type, model, or symbol beforehand; to prefigure.
n.
Anything which serves, or may serve, as an example for imitation; as, a government formed on the model of the American constitution; a model of eloquence, virtue, or behavior.
v. i.
To make a copy or a pattern; to design or imitate forms; as, to model in wax.
n.
A model; a pattern; a mold.
n.
The act or art of making a model from which a work of art is to be executed; the formation of a work of art from some plastic material. Also, in painting, drawing, etc., the expression or indication of solid form.
n.
Something intended to serve, or that may serve, as a pattern of something to be made; a material representation or embodiment of an ideal; sometimes, a drawing; a plan; as, the clay model of a sculpture; the inventor's model of a machine.
v. t.
To model.
n.
Carved work modeled of, or cut upon, wood, stone, metal, etc.
n.
Relative dimensions, without difference in proportion of parts; size or degree of the parts or components in any complex thing, compared with other like things; especially, the relative proportion of the linear dimensions of the parts of a drawing, map, model, etc., to the dimensions of the corresponding parts of the object that is represented; as, a map on a scale of an inch to a mile.
a.
Suitable to be taken as a model or pattern; as, a model house; a model husband.
v. t.
To plan or form after a pattern; to form in model; to form a model or pattern for; to shape; to mold; to fashion; as, to model a house or a government; to model an edifice according to the plan delineated.