presentation

project_start.qmd

@@ -74,7 +74,7 @@ list_ols <- list("(Intercept)" = "Intercept", "as.factor(Treatment_A)Treated" =
 
 ::: incremental
 1.  How do obligatory and voluntary information treatments affect **survey engagement**, **information recall**, **consequentiality**, and **stated preferences**?
-2.  Do **socio-demographic** variables or natural **connectedness** influence the decision to **access voluntary information**?
+2.  Do **socio-demographic** or **attitudinal** variables  influence the decision to **access voluntary information**?
 3.  Do **survey engagement**, **information recall**, **consequentiality**, and **stated preferences** differ between respondents who **access voluntary information** and those who do not?
 :::
 
@@ -142,15 +142,16 @@ To what extent do you agree or disagree with the following statements?
 ## Data
 
 ::: incremental
--   **Socio-demographics**: Age, Gender, Income, Education.
--   Natural Relatedness Index: Measure derived from 21 items on **connectedness to nature**.
--   Quiz: Evaluation of the quiz we gave to everyone after the DCE.**-\>Information recall**
--   Timings: We saved the net interview time and the mean Choice Card time.-\> **Survey engagement**
--   **Consequentiality**:
 
-- To what extent do you believe that the decisions you make will have an impact on how the green spaces in your neighborhood are designed in the future?
++   Quiz: Evaluation of the quiz we gave to everyone after the DCE.**-\>Information recall**
++   Timings: We saved the net interview time and the mean Choice Card time.-\> **Survey engagement**
++   **Consequentiality**:
 
-- To what extent do you believe that the decisions you make will affect whether you have to pay a contribution for urban greening in the future?
+1. To what extent do you believe that the decisions you make will have an impact on how the green spaces in your neighborhood are designed in the future? (I believe in it very much - I don’t believe in it at all )
+
+2. To what extent do you believe that the decisions you make will affect whether you have to pay a contribution for urban greening in the future? (I believe in it very much - I don’t believe in it at all )
++   **Socio-demographics**: Age, Gender, Income, Education.
++   **Attitudinal variable**: Measure derived from 21 items on **nature relatedness**.
 :::
 
 ## Methods (1) {auto-animate="true"}
@@ -163,7 +164,7 @@ To what extent do you agree or disagree with the following statements?
     \label{simple_logit}
 \end{equation}
 ```
--   OLS regression (survey engagement & information recall):
+-   OLS regression (survey engagement,information recall, consequentiality, status quo choices):
 
 ```{=tex}
 \begin{equation}
@@ -200,7 +201,7 @@ and
 
 ```{=tex}
 \begin{equation}
-  v_{Treat_A} = \{Treated, Volutary Treated\}
+  v_{Treat_A} = \{Treated, Voluntary Treated\}
 \end{equation}
 ```
 
@@ -277,7 +278,7 @@ htmlreg(l=list(ols_time_cc_A,  ols_time_cc_control_A, ols_time_cc_C,  ols_time_c
 :::
 :::
 
-## OLS: Manipulation check
+## OLS: Information recall
 
 ::: panel-tabset
 ### Plot
@@ -476,7 +477,9 @@ htmlreg(c(case_C_cols_NR[1], remGOF(case_C_cols_NR[2:8])),
 
 - Voluntary information access is correlated with increased consequentiality, higher survey engagement and higher willingness to pay
 
-- Obligatory information treatment is more effective
+- Obligatory information treatment is more effective than optional
+
+- Voluntarily accessed treatment shows strongest effects
 
 :::