Data Analysis

· Describe Dependent Variable

· Describe Independent Variables

· Describe Dependent Variables

· Attitude to the Mentally Ill

· Social Distance

· Openness to Treatment

· Stigma

· Summary: Typical Person in Sa

· Holds relatively few stereotypes

· Relatively willing to interact with mentally ill little social distance.

· Relatively open to treatment, believe in value of treatment

· Falls in middle of scale measuring stigma – perhaps a bit more dubious about recognizing and seeking treatment for themselves

Sample

· Describe Independent Variables:Contact

· Mental Health Literacy (Knowledge)

· Media

· Diagnosis

· Etiology

Summary: Typical Person in Sample

· Close contact with someone who has been diagnosed mentally ill. Almost half sample have relative with mental illness; another 10% live with someone who has mental illness

· Moderately knowledgeable about mental illness

· Moderate awareness media portrayal mental illness and treatment

Summary: Typical Person in Sample

· Believes life stressors cause depression and problem drinking.

· Believes schizophrenia biological in origin

· Most sympathetic to schizophrenic as described in vignette, believe schizophrenic would benefit most from treatment but would be most likely to avoid the schizophrenic (compared to depressed and problem drinker)

Bivariate Analysis of DVs

· All four dependent variables related to one another

Bivariate Analysis of Independent Variables with Dependent Variables

Summary Bivariate Analysis Attitude to Mentally Ill Fewer Stereotypes

· More contact

· Believe schiz cause by bio or trauma

· Women

More educated

· Less distance

· More open to treatment

· Less stigma

Summary Bivariate Analysis Less Social Distance/Avoid

· More contact

· More mental health literacy

· Would not avoid any of the individuals in vignettes (approaches sign)

· Believe trauma cause problem drinking

· Fewer stereotypes

· More open to tx

· Less stigma

Summary Bivariate Analysis More Open to Tx

· Not avoid any of the individuals in vignettes

· Believe biological or trauma origin of depression and schiz (approach sign)

· Women

· More educated

· Fewer stereotypes

· Less distance

· Less stigma

Summary Bivariate Analysis Less Stigma

· Less likely to avoid problem drinker

· More contact less stigma (approaches sign)

· Whites

· Fewer stereotypes

· Less distance

· More open to tx

· Demographics

· Sample of highly educated white women.

· This group also fewer stereotypes more open to tx and perceive less stigma.

· Age and income not related

· Contact highly related to all DVs

· Contact and Mental health literacy related and affect attitude to mentally ill. More knowledge and contact fewer stereotypes

· Etiology related to stereotypes as well – those who perceive schizophrenia as based in biology or trauma hold fewer stereotypes.

· Etiology also directly related to openness to tx; basis in biology or trauma more open to tx

· Diagnosis:

· Particular approach to schiz; sample has a great deal of sympathy and feel would most benefit from tx but also most likely to avoid.

· Diagnostic distinctions who have sympathy for and benefit from treatment not related to any DVs

Who would avoid -- works like social distance question. As above, most likely to avoid schiz

(Table)

· Fewer stereotypes more willing to associate with mentally ill

· Less social distance also means less stigma and more open to treatment.

· Interestingly there is direct relationship between etiology and openness to treatment. If depression or schizophrenia seen as due to life stressors, less open to treatment.

Discussion: Interpret Meanings

Why were some of our hypotheses supported and why were others not supported

Discussion: Literature

· Refer back to the assignment you did last semester synthesizing the literature on your variables. How do your findings fit with the literature you reviewed?

Discussion: Limitations

· Discuss our study’s major limitations. What should the next study do?

Discussion: Conclusions

· Include at least a one-page discussion of implications

· Implications for social work practice, policy and research?

· Specific implications for advocacy groups?

Summary

· Demographic variables are not related to stance on immigration policy with the exception of income. Those with lower income are less restrictive in their stand.

· The strongest correlation of IPOLICY is with ZEROSUM scale. Accounts for 46% of variance. Knowledge of undocumented immigrant’s use of health care accounts for 32%, a third, and contact accounts for 17%. These seem to be strongest. 

Our Story

· What are most important variables

· What is related to those most important variables

· Of all these variables, ZEROSUM has the strongest relationship with stand on immigration policy.

What influences belief in zero sum game? ZEROSUM related to CONTACT KNOWSS HEALTHUNDOCU SSUNDOC