Great game of Turkey

+ Show code- Hide code # This code is Op_en7421# on page [[Great game of Turkey]] library(OpasnetUtils) objects.latest("Op_en7421", code_name = "dayquestion") ques <- question() cat(as.character(ques$Question[1]), "\n") oprint(ques["Option"])

Check above the question of the day and decide which option you would choose.: Option 1 Option 2 Option 3 Option 4 + Show code- Hide code # This is code Op_en7421/choices on page [[Great game of Turkey]] library(OpasnetUtils) objects.latest("Op_en7421", code_name = "dayquestion") ques <- question() dat <- data.frame( User = wiki_username, Question = ques$Question[1], Result = ques$Option[option] # Option ) opbase.upload( dat, ident = "Op_en7421", name = "Great game of Turkey", subset = "Choices", act_type = "append", language = "eng", who = wiki_username ) oprint(dat) cat("Your choice was successfully saved.\n")

Into which group do you identify most? (You only need to choose once): Nationalists Conservatives Minorities Liberals Kemalists + Show code- Hide code # This is code Op_en7421/choices on page [[Great game of Turkey]] library(OpasnetUtils) dat <- data.frame( User = wiki_username, Date = Sys.Date(), Result = group # Group ) opbase.upload( dat, ident = "Op_en7421", name = "Great game of Turkey", subset = "User", act_type = "append", language = "eng", who = wiki_username ) oprint(dat) cat("Your group was successfully saved.\n")

Question

What is a good game to crowdsource citizen priorities about daily political decisions in such a way that

• it can be done using a mobile app,
• it characterises happiness of citizen groups of the decisions,
• it characterises progress of important societal values,
• it enables crowdsourcing the actual questions and options asked?

Answer

See the top of the page for the main questionnaire of the game. Here we present results from the game.

+ Show code- Hide code #This is code Op_en7421/ on page [[Great game of Turkey]] library(OpasnetUtils) library(ggplot2) objects.latest("Op_en7421", code_name = "dayquestion") objects.latest("Op_en6007", code_name = "answer") # oggplot etc happindex <- EvalOutput(happindex) oggplot(happindex, x = "Date", fill = "Group") + facet_wrap(~ User) happmean <- oapply(happindex, cols = c("Date", "Question", "Option"), FUN = mean) happequity <- oapply(happmean, cols = "Group", FUN = sd) oggplot(mergeusers(happmean), x = "User", fill = "Group") + labs(title = "Mean happiness over time") oggplot(mergeusers(happequity), x = "User") + labs(title = "Deviation from the equity") progindex <- EvalOutput(progindex) oggplot(progindex, x = "Date", fill = "Group") + facet_wrap(~ User) progmean <- oapply(progindex, cols = c("Date", "Question", "Option"), FUN = mean) progequity <- oapply(progmean, cols = "Group", FUN = sd) oggplot(mergeusers(progmean), x = "User", fill = "Group") + labs(title = "Mean progress over time") oggplot(mergeusers(progequity), x = "User") + labs(title = "Deviation from the policy balance")

Rationale

Questions(-)

Obs	Date	Question	Option
1	2016-01-16	Should the scarf ban in the universities be abandoned?	Yes
2	2016-01-16	Should the scarf ban in the universities be abandoned?	Partly
3	2016-01-16	Should the scarf ban in the universities be abandoned?	No
4	2016-01-17	Should the military budget be increased?	Yes
5	2016-01-17	Should the military budget be increased?	No, keep the same
6	2016-01-17	Should the military budget be increased?	No, reduce
7	2016-01-17	Should the education budget be increased?	Yes
8	2016-01-17	Should the education budget be increased?	No, keep the same
9	2016-01-17	Should the education budget be increased?	No, reduce

Select an option: Option 1 Option 2 Option 3 Option 4 Select a group: Nationalists Conservatives Minorities Liberals Kemalists How much happiness would this option bring to this group?: - choose score - +2 +1 0 -1 -2 + Show code- Hide code # This is code Op_en7421/happiness on page [[Great game of Turkey]] library(OpasnetUtils) objects.latest("Op_en7421", code_name = "dayquestion") ques <- question() cat(as.character(ques$Question[1]), "\n") oprint(ques["Option"]) dat <- data.frame( Question = ques$Question[1], Option = ques$Option[option], Group = group, User = wiki_username, Result = hscore # Hscore ) opbase.upload( dat, ident = "Op_en7421", name = "Great game of Turkey", subset = "Happiness", act_type = "append", language = "eng", who = wiki_username ) oprint(dat) cat("Your happiness score was successfully saved.\n")

Select an option: Option 1 Option 2 Option 3 Option 4 Select an issue: Civil Rights Women´s Rights Religion National Values Democracy pscore: - choose score - +2 +1 0 -1 -2 + Show code- Hide code # This is code Op_en7421/progress on page [[Great game of Turkey]] library(OpasnetUtils) objects.latest("Op_en7421", code_name = "dayquestion") ques <- question() cat(as.character(ques$Question[1]), "\n") oprint(ques["Option"]) dat <- data.frame( Question = ques$Question[1], Option = ques$Option[option], Progress = progress, User = wiki_username, Result = pscore # Pscore ) if(!is.na(pscore)) { opbase.upload( dat, ident = "Op_en7421", name = "Great game of Turkey", subset = "Progress", act_type = "append", language = "eng", who = wiki_username ) oprint(dat) cat("Your progress score was successfully saved.\n") } else { cat("Choose your score first.\n") }

+ Show code- Hide code # This code is Op_en7421/ on page [[Great game of Turkey]] library(OpasnetUtils) ques <- opbase.data("Op_en7421.questions") ques <- ques[ques$Date == as.character(Sys.Date()) , ] colnames(ques)[colnames(ques) == "Result"] <- "Option" for(i in unique(as.character(ques$Question))) { cat(ques$Obs[ques$Question == i][1], ": ", i, "\n") oprint(ques[ques$Question == i , "Option", drop = FALSE]) }

Give the number of the question you want for today.: + Show code- Hide code # This is code Op_en7421/ on page [[Great game of Turkey]] library(OpasnetUtils) dat <- data.frame( Date = as.character(Sys.Date()), User = wiki_username, Result = question # Question ) opbase.upload( dat, ident = "Op_en7421", name = "Great game of Turkey", subset = "Question_vote", # You MUST spell it with _ act_type = "append", language = "eng", who = wiki_username ) oprint(dat) cat("Your question vote was successfully saved.\n")

Give the number of the option you want for today (up to 4 options used).: + Show code- Hide code # This is code Op_en7421/ on page [[Great game of Turkey]] library(OpasnetUtils) dat <- data.frame( Date = as.character(Sys.Date()), User = wiki_username, Result = option # Option ) opbase.upload( dat, ident = "Op_en7421", name = "Great game of Turkey", subset = "Option_vote", act_type = "append", language = "eng", who = wiki_username ) oprint(dat) cat("Your option vote was successfully saved.\n")

+ Show code- Hide code # This is code Op_en7421/dayquestion on page [[Great game of Turkey]] library(OpasnetUtils) question <- function() { ques <- opbase.data("Op_en7421.questions") colnames(ques)[colnames(ques) == "Result"] <- "Option" qvote <- opbase.data("Op_en7421.question_vote") qvote <- unique(qvote[qvote$Date == as.character(Sys.Date()) , ]) # Remove double votes qvote <- aggregate(qvote["User"], by = qvote["Result"], FUN = length) qvote <- qvote[order(qvote$User, descending = TRUE) , ][1,] # Choose the row with most votes temp <- merge(ques, qvote, by.x = "Obs", by.y = "Result")["Question"] # Find the most popular options ovote <- opbase.data("Op_en7421.option_vote") ovote <- ovote[nrow(ovote):1 , ] #Turn newest first #ovote <- ovote[!duplicated(ovote[c("Date", "User") , ]) , ] # Only keep the last vote out <- merge(merge(temp, ques), ovote, by.x = "Obs", by.y = "Result") out <- aggregate(out["User"], by = out["Option"], FUN = length) out <- out[order(out$User, decreasing = TRUE) , ][1:4,] # Choose the 4 rows with most votes out <- out[!is.na(out$User) , "Option", drop = FALSE] return(merge(temp, out)) } mergeusers <- function(happ) { if(length(happ$User) != length(happ$User[happ$User == wiki_username])) { test1 <- happ[happ$User == wiki_username , ] test1$User <- "You" test2 <- happ[happ$User != wiki_username , ] test2$User <- "Others" happ <- combine(test1, test2) } return(happ) } happiness <- Ovariable("happiness", ddata = "Op_en7421.happiness", getddata = FALSE) progress <- Ovariable("progress", ddata = "Op_en7421.progress", getddata = FALSE) questions <- Ovariable("questions", ddata = "Op_en7421.questions", getddata = FALSE) choices <- Ovariable("choices", dependencies = data.frame(Name = "happiness"), formula = function(...) { dat <- opbase.data("Op_en7421.choices") colnames(dat)[colnames(dat) == "Result"] <- "Option" dat$Obs <- NULL dat$Result <- 1 return(dat) } ) questions <- Ovariable("questions", dependencies = data.frame(Name = "happiness"), formula = function(...) { dat <- opbase.data("Op_en7421.questions") colnames(dat)[colnames(dat) == "Result"] <- "Option" dat$Obs <- NULL dat$Result <- 1 return(dat) } ) happindex <- Ovariable("happindex", dependencies = data.frame(Name = c( "happiness", "choices", "questions" )), formula = function(...) { happiness <- oapply(happiness, cols = "User", FUN = mean) happindex <- choices * happiness * questions return(happindex) } ) progindex <- Ovariable("progindex", dependencies = data.frame(Name = c( "progress", "choices", "questions" )), formula = function(...) { progress <- oapply(progress, cols = "User", FUN = mean) progindex <- choices * progress * questions return(progindex) } ) objects.store(list = ls())

Structures of the tables.

Questions	Choices	Happiness	Progress	Question vote	Option vote	User
Date Question Option	Question User Option	Question Option Group User Hscore	Question Option Progress User Pscore	Date User Question	Date User Option	User Date Group

Important categories

Groups for Turkey	Progress categories
Nationalists Conservatives Minorities Liberals Kemalists	Civil Rights Women's Rights Religion National Values Democracy

See also

This page is a knowledge crystal of subtype assessment. The page identifier is Op_en7421
Moderator:Jouni (see all)
Upload data {{#opasnet_base_link:Op_en7421}}