"\r\n\r\n[{\r\n \"messages\": [\r\n \"Hello. You will explore a dataset in this task and create some useful hypotheses.\",\r\n \"Please answer whether you are knowledgeable about mental health, and then briefly (in one sentence or less) describe your knowledge.\"]\r\n}, {\r\n \"messages\": [\r\n \"Ok. Now follows the introduction to the task.\",\r\n \"Hypotheses are ideas or explanations for something that is based on known facts but has not yet been proved. They also show relationships between two or more variables. One variable is the independent or cause<\/b> and the other variable is the dependent or effect<\/b>.\",\r\n \"buttons-only:#Okay#\"\r\n ],\r\n \"validation\": \"#Okay#\"\r\n}, {\r\n \"messages\": [\r\n\r\n \"Example: `The number of lectures attended by first-year students has a positive effect on their exam scores `\",\r\n \"Here, the number of lectures attended<\/b> is the independent variable, and exam scores<\/b> is the dependent variable. The assumed relationship here is positive effect<\/b>.\",\r\n \"In this task, you will generate useful and relevant hypotheses!\",\r\n \"While working on this task, you will be asked to develop at least three different hypotheses.\",\r\n\r\n \"buttons-only:#Ok#\"\r\n ],\r\n \"validation\": \"#Ok#\"\r\n}, {\r\n \"messages\": [\r\n \"Here is an example scenario to assist you in understanding how to carry out the task.\",\r\n \"We have a dataset about health facilities in Ghana\",\r\n \"Our overall goal is to determine if it is feasible to improve the medical service in the country.\",\r\n\r\n \"buttons-only:#Continue#\"\r\n ],\r\n \"validation\": \"#Continue#\"\r\n}, {\r\n \"messages\": [\r\n \"First, you will receive an introduction to the data:\",\r\n \"In Ghana, there are many types of health facilities. In the dataset there are for example clinics and training institutions. The region with the largest amount of clinics is the Greater Accra region with 283 clinics. This region also holds the record for the most training institutions. The region with the lowest amount of clinics is Upper West. It has only 10 clinics, and also has the least number of Training facilities, counting 4. All regions in between show a gradual slope between training institutions and clinics. \",\r\n \"buttons-only:#Continue#\"\r\n ],\r\n \"validation\": \"#Continue#\"\r\n}, {\r\n \"messages\": [\r\n \"We can observe that the number of training institutes and clinics is correlated across the regions; if one is large, so is the other, and vice versa. \",\r\n \"Therefore the hypothesis is: The number of training facilities and clinics per region is positively correlated. \",\r\n \"That concludes the tutorial! The task will now begin. The dataset will change to a completely new one. \",\r\n \"buttons-only:#Start#\",\r\n ],\r\n \"validation\": \"#Start#\"\r\n}, {\r\n \"messages\": [\r\n \"The main task is about the following data. The dataset is different to the one in the tutorial.\",\r\n \"This dataset includes the findings from a survey that started in 2014. The survey is about the mental health of employees of IT companies. In this data, amongst many other things it's observable that about 40% of all respondant said that their employer provided them mental health benefits, whereas around 30% of the respondant didn't know whether there were such benefits at the workplace. Of the people who know that there are mental health benefits at the workplace, around 60% said they were seeking medical help.\",\r\n \"buttons-only:#Okay#\"\r\n ],\r\n \"validation\": \"#Okay#\"\r\n}, {\r\n \"messages\": [\r\n \"These were the captured information per participant:\",\r\n \"
Enlarge Visualization<\/div>

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