prevalence Amenson and lewinsohn

Question 1

amenson and lewinsohn

Answer 1

gender diffs in D - artifact hypothesis

Question 2

aim

Answer 2

to inv whether gender diffs in D prevalence r due to reporting and diagnostic bias or if they r acc gender diffs in D symptoms

Question 3

RM and ppls

Answer 3

correlational
semi S interviews
ppls from spring field Oregon
randomly selected from registration list

Question 4

prodecure

Answer 4

1) deceived - told they were part of a study for health and and emotions etc.
2) Questionnaire - self report on what symptoms they think they have w depression, how they feel etc.
3) men and women were divided into high/mid/low symptom level groups
4) semi S clinical interview aft 8-9 months - interviewers were blind to self report questionnaire - 2BC
4) R’s compared Q w Interview

Question 5

results

Answer 5

men’s self report symptoms matched w interview (92%)
women self report symptoms matched w clinical interview diagnosis (81%)
both genders had similar avg scores in interview no sig diff in how they described their behavior and if they seeked help.
men and women w similar reported scores were equally likely to be diagnosed with depression

Question 6

implications

Answer 6

there are gender diffs in depression and diff in men and women’s depressive symptoms are not due to clinical bias.

Question 7

this is because

Answer 7

the study minimized bosses by using standardized measure, 2BC, and random selection - to ensure gender bias did not occur, so it was equality reliable.

Question 8

this shows that

Answer 8

the gender diffs in D are not due to bias, men and women were equally likely to self label and get help.
consistency between the Q and interview show that gender diff in prevalence are not cuz of bias ( they are equally likely to get depressed but the symptoms may have differed)

Question 9

this is because

Answer 9

societal stereotypes and misjudgments did not influence diagnostic process.
men had higher agreement between Q and Int (92%) which shows that how they feel abt their D and how clinicians diagnose them are close and accurate.
women had agreement of (81%) which might be due to more complex symptoms and emotions (how they express their emotions and how clinicians view it/recieve the info) is not as accurate as men.
which shows that there r gender diffs in men and women - when bias is controlled.