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A Multilevel Study of Interpersonal Influence in Academic Influence Networks
Unformatted Document Text:  Influence Networks 12 ß 1i = ß 10 + ß 11i Centrality i + u 1ij ß 2i = ß 20 + u 2ij Hypotheses This study is designed to evaluate the impact of structural level variables on individual level outcomes, creating a multilevel test of the relationship between structural centrality and interpersonal influence. Hypotheses are derived from this multilevel stance, where structural centrality is expected to impact self-reports of ‘motivation to comply’, the measure of interpersonal influence, as well as the relative weight individuals attribute to their individual attitude when forming behavioral intentions. One way to capture influence patterns within a social network is to measure the degree to which individuals are motivated to comply with one another; influential individuals should be associated with relatively higher scores compared to non-influential individuals. If structural centrality leads to a heightened ability to exert interpersonal influence, the data will indicate that increases in structural centrality will be associated with increases in received reports of motivation to comply by networked others. The following hypotheses specify a relationship between structural centrality and motivation to comply. H1a. There is a positive association between received motivation to comply scores and Centrality 1 . H1b. There is a positive association between received motivation to comply scores and Centrality 2 . In addition to expecting that received motivation to comply scores will increase as centrality increases, it is also expected that reported motivation to comply scores will decrease as centrality increases. Interpersonal influence goes two ways: the influential individual is more

Authors: Wolski, Stacy.
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background image
Influence Networks 12
ß
1i
= ß
10
+ ß
11i
Centrality
i
+ u
1ij
ß
2i
= ß
20
+ u
2ij
Hypotheses
This study is designed to evaluate the impact of structural level variables on individual
level outcomes, creating a multilevel test of the relationship between structural centrality and
interpersonal influence. Hypotheses are derived from this multilevel stance, where structural
centrality is expected to impact self-reports of ‘motivation to comply’, the measure of
interpersonal influence, as well as the relative weight individuals attribute to their individual
attitude when forming behavioral intentions.
One way to capture influence patterns within a social network is to measure the degree to
which individuals are motivated to comply with one another; influential individuals should be
associated with relatively higher scores compared to non-influential individuals. If structural
centrality leads to a heightened ability to exert interpersonal influence, the data will indicate that
increases in structural centrality will be associated with increases in received reports of
motivation to comply by networked others. The following hypotheses specify a relationship
between structural centrality and motivation to comply.
H1a. There is a positive association between received motivation to comply scores and
Centrality
1
.
H1b. There is a positive association between received motivation to comply scores and
Centrality
2
.
In addition to expecting that received motivation to comply scores will increase as
centrality increases, it is also expected that reported motivation to comply scores will decrease as
centrality increases. Interpersonal influence goes two ways: the influential individual is more


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