structural equations models

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Page 1: Structural Equations Models

Structural Equations Structural Equations ModelsModels

Multivariate SolutionsMultivariate Solutions

Page 2: Structural Equations Models

Basics of Structural Equation ModelsBasics of Structural Equation Models• Structural equation modeling (SEM) is a statistical technique for

building and testing statistical models, which are often causal models. It is a hybrid technique that encompasses aspects of confirmatory factor analysis, path analysis and regression, which can be seen as special cases of SEM.

• Among its strengths is the ability to model constructs as latentvariables — variables which are not measured directly, but are estimated in the model from measured variables which are assumed to 'tap into' the latent variables.– For example, a latent variable can be ‘Overall Satisfaction’, which is a

composite of, say, three satisfaction variables.

• SEM is an extension of the general linear model that simultaneously estimates relationships between multiple independent, dependent and latent variables.

Page 3: Structural Equations Models

Basics of Structural Equation ModelsBasics of Structural Equation Models• Structural equation modeling (SEM) is a statistical technique for

building and testing statistical models, which are often causal models. It is a hybrid technique that encompasses aspects of confirmatory factor analysis, path analysis and regression, which can be seen as special cases of SEM.

• Among its strengths is the ability to model constructs as latentvariables — variables which are not measured directly, but are estimated in the model from measured variables which are assumedto 'tap into' the latent variables.

– For example, a latent variable can be ‘Overall Satisfaction’, which is a composite of, say, three satisfaction variables, such as ‘Purchase Intent’, ‘Likelihood to Purchase’, and ‘Likelihood to Recommend’.

• SEM is an extension of the general linear model that simultaneously estimates relationships between multiple independent, dependent and latent variables.

Page 4: Structural Equations Models

Service Initiationand Transfer

Customer Service

Meter Services

Emergency Response / Outage

Billing

Payment

Overall Satisfaction

With Company

Likelihood of Ongoing Selection

of Company

Company/Brand Image

Recommend Company

Quality Components Overall SatisfactionQuality Attributes Performance

• Timely response to service request• Service initiated as scheduled

Available/accessible when needed Timely response to requests Services performed as scheduled Professionalism of CSR Courtesy of CSR

Timely inspections Timely issuance of permits

Hypothetical Model Of Customer Satisfaction

Technical Services

• Bill layout• Ease of understanding bill• Timely arrival of bill each month• Time from bill issuance to payment• Services such as levelized billing

• Timely meter reading• Accurate meter reading• Accurate meter estimates

Prompt response to outage Power restored quickly after outage Emergency addressed quickly

• Choice of payment options• Flexibility of due date (Pick-a-Date)• Courtesy calls before power cut off