ess.dk: Subset of four variables and interviewer number from the...

In lavaan.survey: Complex Survey Structural Equation Modeling (SEM)

Description

Consists of indices of political and social trust, political efficacy, and fear of crime. The interviewer number was also recorded.

The ESS round 4 in Denmark was a face-to-face probability survey with simple random sampling.

Usage

data(ess.dk)

Format

A data frame with 1546 observations of 6 variables.

idno

Respondent identifier

intnum

Interviewer identifier

socialTrust

Sum of three 0-10 social trust items.

efficacy

Sum of two 1-5 items measuring "internal political efficacy".

systemTrust

Sum of three 0-10 political trust items.

fearCrime

Sum of three 1-4 items measuring fear of crime.

Author(s)

Daniel Oberski - http://daob.org - [e-mail]

Source

This dataset was retrieved from http://ess.nsd.uib.no/ess/round4/ and converted to an R dataset.

References

Jowell, R., Roberts, C., Fitzgerald, R., & Eva, G. (2007). Measuring attitudes cross-nationally: Lessons from the european social survey. SAGE.

Oberski, D.L. (2014). lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models. Journal of Statistical Software, 57(1), 1-27. http://www.jstatsoft.org/v57/i01/.

See Also

lavaan.survey

Examples

data(ess.dk)
head(ess.dk)

# A saturated model with reciprocal effects from Saris & Gallhofer (2007)
dk.model <- "
  socialTrust ~ 1 + systemTrust + fearCrime
  systemTrust ~ 1 + socialTrust + efficacy
  socialTrust ~~ systemTrust
"
lavaan.fit <- lavaan(dk.model, data=ess.dk, auto.var=TRUE, estimator="MLM")
summary(lavaan.fit)

# Create a survey design object with interviewer clustering
survey.design <- svydesign(ids=~intnum, prob=~1, data=ess.dk)

survey.fit <- lavaan.survey(lavaan.fit=lavaan.fit, survey.design=survey.design)
summary(survey.fit)

Example output

Loading required package: lavaan
This is lavaan 0.6-3
lavaan is BETA software! Please report any bugs.
Loading required package: survey
Loading required package: grid
Loading required package: Matrix
Loading required package: survival

Attaching package: 'survey'

The following object is masked from 'package:graphics':

    dotchart

    idno intnum socialTrust efficacy systemTrust fearCrime
1 100010  55421          24        2          17         4
2 100028  23886          22        6          22         7
3 100044  15000          16        3          26         3
4 100052  45630          21        5          24         4
5 100060  15000          22       10          24         9
6 100078  45630          17        7          20         5
lavaan 0.6-3 ended normally after 73 iterations

  Optimization method                           NLMINB
  Number of free parameters                          9

  Number of observations                          1546

  Estimator                                         ML      Robust
  Model Fit Test Statistic                       0.000       0.000
  Degrees of freedom                                 0           0
  Scaling correction factor                                     NA
    for the Satorra-Bentler correction

Parameter Estimates:

  Information                                 Expected
  Information saturated (h1) model          Structured
  Standard Errors                           Robust.sem

Regressions:
                   Estimate  Std.Err  z-value  P(>|z|)
  socialTrust ~                                       
    systemTrust       0.452    0.166    2.726    0.006
    fearCrime        -0.305    0.110   -2.759    0.006
  systemTrust ~                                       
    socialTrust       0.858    0.153    5.606    0.000
    efficacy          0.272    0.096    2.839    0.005

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
 .socialTrust ~~                                      
   .systemTrust     -16.919    4.160   -4.067    0.000

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)
   .socialTrust      12.315    4.028    3.057    0.002
   .systemTrust       2.127    2.846    0.747    0.455

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .socialTrust      18.457    0.992   18.615    0.000
   .systemTrust      23.746    3.267    7.270    0.000

lavaan 0.6-3 ended normally after 73 iterations

  Optimization method                           NLMINB
  Number of free parameters                          9

  Number of observations                          1546

  Estimator                                         ML      Robust
  Model Fit Test Statistic                       0.000       0.000
  Degrees of freedom                                 0           0
  Scaling correction factor                                     NA
    for the Satorra-Bentler correction

Parameter Estimates:

  Information                                 Expected
  Information saturated (h1) model          Structured
  Standard Errors                           Robust.sem

Regressions:
                   Estimate  Std.Err  z-value  P(>|z|)
  socialTrust ~                                       
    systemTrust       0.452    0.211    2.144    0.032
    fearCrime        -0.305    0.126   -2.422    0.015
  systemTrust ~                                       
    socialTrust       0.858    0.147    5.846    0.000
    efficacy          0.272    0.126    2.152    0.031

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
 .socialTrust ~~                                      
   .systemTrust     -16.919    5.041   -3.356    0.001

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)
   .socialTrust      12.315    5.105    2.412    0.016
   .systemTrust       2.127    2.584    0.823    0.410

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .socialTrust      18.457    1.271   14.527    0.000
   .systemTrust      23.746    3.279    7.243    0.000

lavaan.survey documentation built on May 2, 2019, 3:41 p.m.