عنوان

The Relationship of Attachment Patterns and Inter-group Bias, using Minimal Groups

Number

TL51d5j1b1

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

The Relationship of Attachment Patterns and Inter-group Bias, using Minimal Groups

General Material Designation

[Thesis]

First Statement of Responsibility

Light, Pauline Elizabeth

Subsequent Statement of Responsibility

Gilger, Jeff

Name of Publisher, Distributor, etc.

UC Merced

Date of Publication, Distribution, etc.

2014

Body granting the degree

UC Merced

Text preceding or following the note

2014

Text of Note

ABSTRACTThe Relationship of Adult Attachment Patterns and Inter-group Bias, using Minimal GroupsPauline E. LightPhD Psychological SciencesUniversity of California, Merced 2014Dr. Jeff Gilger, Dissertation Committee ChairThe three studies in this dissertation explore the relationship of attachment patterns and inter-group bias using the minimal group paradigm. Participants were undergraduates from four main ethnic groups. Although not all analyses were significant across the three studies, the results did indicate that secure attachment does reduce inter-group bias in randomly created groups in the laboratory (minimal groups). To the author's knowledge, this is the first time that minimal groups have been used to investigate attachment patterns and inter-group bias.In Study 1, securely attached participants and those with both high anxiety and high avoidance showed less intergroup bias towards their out-group in a Face Categorization Task. Securely attached subjects also showed more preference for their in-group. In Study 2, priming with the secure base of attachment was not effective. However, positive affect priming led to less negative reactions toward their out-groups in securely attached and anxiously attached subjects. All three studies showed a preference for the in-group and a stronger identification with the in-group. The strengths and limitations of all three studies are addressed.

Light, Pauline Elizabeth

Gilger, Jeff

UC Merced

Electronic name

p

[Thesis]

276903

a

Y