Regression and structural
equation modelling techniques are used to identify practices constituting good and harsh parenting, factors associated with these parenting behaviours and child and adolescent outcomes.
Not exact matches
With an MBA to complement his background, Skok's approach to startup
techniques and financial
modeling is user friendly, though strongly technical, rich in charts and
equations.
«The paper formulated the Grosseteste
model in terms of differential
equations that can be solved with modern numerical
techniques,» says cosmologist Avi Loeb at the Harvard - Smithsonian Center for Astrophysics in Cambridge, who was not involved in the work.
Specific statistical areas of expertise include factor and cluster analysis, basic bivariate analyses, repeated measures analyses, linear and hierarchical / mixed
models, structural
equation modeling, and nonparametric analyses including logistic regression
techniques.
The version offers the most updated econometric
techniques, ranging from the single
equation and panel data
models to time series
models and choice
models.
«The climate
model is run, using standard numerical
modeling techniques, by calculating the changes indicated by the
model's
equations over a short increment of time — 20 minutes in the most advanced GCMs — for one cell, then using the output of that cell as inputs for its neighboring cells.
What produced Lewandowsky's result is a statistical
technique called structural -
equation modelling (SEM).
Topics Include Exploratory Data Analysis, Multiple Regression, Logistic Regression, Correlation, Multivariate Analysis Of Variance (manova), Factorial Analysis Of Variance (anova), Factor Analysis And Principal Components, Discriminant Analysis, Structural
Equation Modeling, And Emerging Data Analysis
Techniques.
She has technical expertise in a wide range of statistical
techniques used in the social sciences, including structural
equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path
modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear
models (including growth curve
modeling), latent transition analysis, mixture
modeling, item response theory, as well as more commonly used
techniques drawing from classical test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).
New developments and
techniques in structural
equation modeling, (pp. 269 - 296).
The most appropriate methodology for producing property price forecasts is the structural econometric
modeling approach with statistical
equations of demand, supply, and rents / prices, which are calibrated using sufficient historical data and appropriate estimation
techniques.