Descriptive Analysis

The above descriptive table shows that the mean age of the participants was 20.26 years with the youngest participant of 18 years of age and eldest was 46 years of age. Apart from this, the above table also shows mean, the minimum and maximum score for each of the attitude. If you need assistance, seeking statistics dissertation help can clarify these findings. Further, higher the score, greater is the endorsement of the corresponding attitude.

The above table shows the reliability of the collected data for different sets of questionnaires. For measuring the reliability of the data set, Cronbach’s Alpha was calculated. A data set is said to be reliable if the coefficient of Cronbach’s Alpha is greater than 0.70. In the present case, Cronbach’s Alpha for only AQ-27_1 and AQ-27_2 is greater than 0.70, showing that only data set AQ-27_1 and AQ-27_2 is reliable. This means results for other data sets may vary if the questionnaire is filled again by other respondents.

Hypothesis 1

In order to check the above hypothesis, paired t-test was performed, paired t-test measures whether there is the statistically significant difference between the means of the same variable over two different conditions. Since in the present case, the aim is to determine whether the attitude towards Schizophrenia differs across two administration conditions, paired t-test is appropriate.

The above table represents mean for each of the pair, that is, at time 1 and time 2. In most of the cases, the mean value for time is not same as time 1; rather it is somewhat different. However, to check whether this difference is statistically significant, paired t-test is performed in the subsequent analysis.

The above table shows a correlation between different attitudes for all the pairs. For all the pair, the correlation coefficient comes out to be positive, showing that if the attitude towards Schizophrenia will increase at time 1, it will also increase at time 2 and vice-versa. Further, the p-value or the significant value for all the pairs is coming out to be less than the critical alpha value of 0.05, showing that the correlation between each pair is statistically significant.

The above table is showing the results of paired t-test for all the attitudes. The mean column in the above table shows the mean difference between the attitude at time 1 and time 2. Further, the p-value or the significance value for all the pairs is coming out to be more than the critical alpha value of 0.05 showing that there is no statistically significant difference between the attitude scores at the two times. Thus, our hypothesis is rejected.

Hypothesis 2

In order to check whether there is the difference in Time 2 attitudes between participants exposed to the negative portrayal of schizophrenia and those exposed to the positive portrayal, an independent t-test was performed. Independent t-test determines to mean the difference between two groups. Since in the present case the researcher wants to measure the difference between participants exposed to the negative portrayal of schizophrenia and those exposed to the positive portrayal, the independent t-test is appropriate.

The above table shows mean for each of the attitudes at time 2 for the two different conditions, that is when the participants were exposed to the negative portrayal of schizophrenia and when the other participants were exposed to the positive portrayal with respective standard deviation.

The above table shows the results of the independent t-test. As per the independent t-test, is the 2 tailed significant value is less than the critical alpha value of 0.05, it means there is the statistically significant difference between the mean of the variable across the two groups. However, if it is more than 0.05, then there is no statistically significant difference between the mean of the variable across the two groups. In the present case, the significance value for Authoritarianism, Social Restrictiveness, Community Health Ideology, Blame, Anger, Help, Dangerousness, Fear, Avoidance and Discriminate attitude is greater than the critical alpha value of 0.05, showing that there was statistically no significant difference between the attitude of the respondents when they were exposed to the negative portrayal of schizophrenia and the positive portrayal. However for Benevolence, Pity, Segregation and Coercion the critical alpha value is less than0.05, showing a statistically significant difference between the attitude of the respondents when they were exposed to the negative portrayal of schizophrenia and the positive portrayal.

Hypothesis 3

In order to check whether there is the difference in Time 2 attitudes between participants exposed to factual information about schizophrenia and those not exposed an independent t-test was performed. Independent t-test determines to mean the difference between two groups. Since in the present case the researcher wants to measure the difference between participants exposed to factual information about schizophrenia and those not exposed, the independent t-test is appropriate.

The above table shows the results of the independent t-test. As per the independent t-test, is the 2 tailed significant value is less than the critical alpha value of 0.05, it means there is the statistically significant difference between the mean of the variable across the two groups. However, if it is more than 0.05, then there is no statistically significant difference between the mean of the variable across the two groups. In the present case, the significance value for Authoritarianism, Social Restrictiveness, Community Health Ideology, Blame, Anger, Help, Dangerousness, Fear, Avoidance, Discriminate, Benevolence, Pity, Segregation and Coercion attitude is greater than the critical alpha value of 0.05, showing that there is statistically no significant difference between the attitude of the respondents who were exposed to factual information about schizophrenia and those who were not exposed.

Hypothesis 4

There will be an interaction between the type of portrayal and exposure to factual information about Schizophrenia for Time 2 attitudes.

The main result to be considered in the Multivariate test is the Wilks’ Lambda in Group column. As per the result, the significance value comes out to be less than the critical alpha value of 0.05 showing that the attitude of the people for time 2 was significantly dependent on the condition they were exposed. To determine how the dependent variables differ for the independent variable, we need to look at the Tests of Between-Subjects Effects table