Download presentation
Presentation is loading. Please wait.
Published byDonte Coppinger Modified over 9 years ago
1
Other tests
2
More than one dependent variable/ outcome ◦ Often variables are related ◦ Need a procedure to estimate simultaneously
3
MANOVA with ◦ gender (2 levels: male, female) ◦ Race (4 levels: caucasian, african american, asian american, hispanic) ◦ Grade (5 levels: 8, 9, 10, 11, 12) DVs ◦ Adolescent coping scale Seek social support Focus on solving the problem Word hard and achieve Worry Invest in close friends Seek to belong Wishful thinking Not coping Tension reduction Social action Ignore the problem Self-blame Keep to self Seek spiritual support Focus on the positive Seek professional help Seek relaxing diversions Physical reaction
4
MANOVA Results With Demographics as Independent Variables FactorsFp-value Gender.77.70 Race1.95.001 Grade1.32.06 Gender x race.88.69 Gender x grade.96.55 Race x grade1.06.30 Gender x race x grade.89.83
5
One factor on which participants are tested more than once
6
Repeated measures ANOVA with ◦ Gender (2 levels: male, female) ◦ Interaction (2 levels: same sex, opposite sex) ◦ Grade level as repeated measure 11 th grade 12 th grade Multiple outcomes measured in the two grades
7
Can equalize initial differences among groups by including a covariate Helps improve power by reducing problems with random assignment
8
Women read scenarios about a woman who chooses to have sex or not ANCOVA with ◦ Relationship condition (4 levels: passion, passion+intimacy+no commitment, passion+intimacy, passion+intimacy+commitment) ◦ Included ratings of acceptability of non-sexual scenario as covariate (to control for baseline ratings of protagonist) ◦ DV: social acceptance (wanted to meet protagonist)
9
Can include more than one predictor of an outcome
10
Multiple regression ◦ Outcome: child language skills ◦ Predictors: Mother literacy activities Mother’s level of education Mother’s age Amount of shared reading
11
How well items “hang” together and form clusters (factors) Represent factors that are related to one another by a more general construct
12
Interested in how experiences before 12 influence dating and peer relationships during adolescence No scale of relationships Administered 80 items with behaviors from self to partner or from partner to self Conducted a factor analysis to see what types of behaviors were highly related with one another and formed “clusters” of related behaviors
13
Find all published studies that examine a particular relationship, then pull out and combine effects from all studies
14
Examined whether elicited emotions (happiness, anger, sadness, anxiety) predict changes in cognitions, emotions, physiology, and behavior Identified all published studies that included more than one emotion and at least one of the outcomes Coded factors in each study: college students vs. community members, cover story or not Also coded the effects – how large was the difference between 2 groups (heart rate in sad versus happy group)
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.