Loneliness
Loneliness
Introductory fluff. Why do we need this module? test reference (Nelson 1987).
Methods
What methods are used? Justification due to output data type. explanation of model output.
discrete_barplot("data/transitions/loneliness/clm/loneliness_2018_2019.rds", 'next_loneliness')
plot of chunk loneliness_data
Data
What variables are included? Why is this output chosen. What explanatory variables are used and why are they chosen
Results
What are the results. Coefficients tables. diagnostic plots. measures of goodness of fit.
plot of chunk housing_output
## formula:
## next_loneliness ~ age + factor(sex) + SF_12 + relevel(factor(education_state), ref = "3") + relevel(factor(job_sec), ref = "3") + hh_income + relevel(factor(hh_comp), ref = "3") + relevel(factor(marital_status), ref = "Partnered") + relevel(factor(ethnicity), ref = "WBI")
## data: data
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 103.1594 -75.90 223.81 6(0) 5.05e-12 1.7e+10
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## age -5.569e-03 1.835e-02 -0.303 0.761523
## factor(sex)Male -3.589e-01 4.577e-01 -0.784 0.432936
## SF_12 -8.155e-02 2.343e-02 -3.480 0.000501 ***
## relevel(factor(education_state), ref = "3")0 2.914e-02 8.171e-01 0.036 0.971555
## relevel(factor(education_state), ref = "3")1 -9.217e-01 2.282e+00 -0.404 0.686310
## relevel(factor(education_state), ref = "3")2 -9.872e-02 7.794e-01 -0.127 0.899213
## relevel(factor(education_state), ref = "3")5 3.943e-02 9.663e-01 0.041 0.967449
## relevel(factor(education_state), ref = "3")6 -2.789e-02 8.153e-01 -0.034 0.972708
## relevel(factor(education_state), ref = "3")7 -1.657e-02 8.952e-01 -0.019 0.985232
## relevel(factor(job_sec), ref = "3")1 -5.268e-02 1.178e+00 -0.045 0.964341
## relevel(factor(job_sec), ref = "3")2 -4.476e-02 8.804e-01 -0.051 0.959455
## relevel(factor(job_sec), ref = "3")4 1.111e-01 7.103e-01 0.156 0.875694
## relevel(factor(job_sec), ref = "3")5 1.473e-01 8.046e-01 0.183 0.854767
## relevel(factor(job_sec), ref = "3")6 1.387e-01 1.024e+00 0.135 0.892287
## relevel(factor(job_sec), ref = "3")7 1.219e-01 6.942e-01 0.176 0.860594
## relevel(factor(job_sec), ref = "3")8 4.119e-01 8.313e-01 0.496 0.620235
## hh_income -2.184e-05 1.065e-04 -0.205 0.837501
## relevel(factor(hh_comp), ref = "3")1 6.569e-01 8.048e-01 0.816 0.414395
## relevel(factor(hh_comp), ref = "3")2 1.534e-01 1.360e+00 0.113 0.910192
## relevel(factor(hh_comp), ref = "3")4 -7.012e-04 5.634e-01 -0.001 0.999007
## relevel(factor(marital_status), ref = "Partnered")Separated 4.325e-01 9.785e-01 0.442 0.658485
## relevel(factor(marital_status), ref = "Partnered")Single 5.185e-01 7.343e-01 0.706 0.480147
## relevel(factor(marital_status), ref = "Partnered")Widowed 5.301e-01 1.257e+00 0.422 0.673306
## relevel(factor(ethnicity), ref = "WBI")BAN 2.416e-01 2.916e+00 0.083 0.933978
## relevel(factor(ethnicity), ref = "WBI")BLA -1.811e-01 1.841e+00 -0.098 0.921640
## relevel(factor(ethnicity), ref = "WBI")BLC 1.215e-02 2.594e+00 0.005 0.996264
## relevel(factor(ethnicity), ref = "WBI")CHI -2.081e-01 3.374e+00 -0.062 0.950826
## relevel(factor(ethnicity), ref = "WBI")IND 5.520e-02 1.409e+00 0.039 0.968742
## relevel(factor(ethnicity), ref = "WBI")MIX -1.125e-01 1.678e+00 -0.067 0.946581
## relevel(factor(ethnicity), ref = "WBI")OAS 2.742e-01 2.027e+00 0.135 0.892424
## relevel(factor(ethnicity), ref = "WBI")OBL -6.353e-01 1.022e+01 -0.062 0.950411
## relevel(factor(ethnicity), ref = "WBI")OTH 3.507e-01 3.219e+00 0.109 0.913227
## relevel(factor(ethnicity), ref = "WBI")PAK 3.829e-01 1.886e+00 0.203 0.839100
## relevel(factor(ethnicity), ref = "WBI")WHO -1.210e-01 9.828e-01 -0.123 0.902043
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## 1|2 -3.515 1.582 -2.221
## 2|3 -1.130 1.544 -0.732
## (273 observations deleted due to missingness)
References
Nelson, Edward. 1987. Radically Elementary Probability Theory. Princeton University Press.