Did the host’s reaction have a greater effect on final attitude to color therapy through its interaction with audience response or its impact on the guest trustworthiness?

Ciccarelli: Psychology_5 (5th Edition)
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ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
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  1. Did the host’s reaction have a greater effect on final attitude to color therapy through its interaction with audience response or its impact on the guest trustworthiness?
  2. What is the direct effect of initial attitude on color therapy to final attitude on color therapy? What is the total indirect effect of initial attitude on color therapy to final attitude on color therapy? (HINT: there are MANY indirect paths.) Are you surprised at the relative magnitudes of the direct and indirect impacts?
RQ3: Process of Reaction Shot Influence
To understand the process through which reaction shot valence influences atti-
tudes, we used the structural equation modeling program AMOS to model the
relationship among the following variables: initial attitude toward color therapy;
attitude toward talk shows; host reaction valence, audience reaction valence, and
their interaction; perceived similarity to the audience; the interaction between
audience reaction valence and perceived similarity to audience; perceptions of
the host's and the guest's trustworthiness and expertise; perceived argument strength;
average thought valence; and final attitude toward color therapy. In developing
the model, we considered the following three types of relationships: (a) those we
would expect to exist theoretically based on cognitive response models of persua-
sion (e.g., initial attitude toward color therapy should impact perceptions of argu-
ment quality and final attitude toward color therapy; perceptions of argument
quality should relate to final attitude toward color therapy; perceptions of source
and arguments should contribute to cognitive response valence); (b) additional
relationships that appeared in the data that were also theoretically consistent (e.g.,
perceptions of guest credibility influencing perceived argument quality; percep-
tions of guest expertise influencing perceptions of guest trustworthiness); and (c)
relationships that appeared in the data that related to our hypotheses and research
questions (e.g., the effect of the host-audience reaction interaction on cognitive
response valence; the effect of host reaction valence on guest trustworthiness).
Host reaction and audience reaction valence were included as exogenous vari-
ables. Error terms for each endogenous variable were set at 1.
To arrive at our final model (see Figure 1), we systematically removed nonsig-
nificant paths (p> .05). In the interest of parsimony, we also removed any variable
that did not either directly or indirectly affect final attitude toward color therapy
(e.g., host likability). The goodness of the path model's fit to the data was judged
by several criteria: (a) a nonsignificant p-value for the chi-square test and a x²/df
ratio of 2 or less; (b) a CFI (comparative fit index) or RFI (relative fit index) of .90
or greater, as close to 1 as possible (Bentler, 1990); (c) an RMR (root mean square
residual) as small as possible, and (d) an RMSEA (root mean square error of
approximation) less than or equal to .05 for a close fit or .08 for a reasonable fit
(Browne & Cudeck, 1993). Our resulting model fits the data well (x²= 37.61, df =
46, p= .81; CFI= 1.00; RMR = .087; RMSEA = .000). In sum, the model suggests
that host and audience reaction valences had their most notable influence on final
attitude toward color therapy through their interaction and its impact on average
thought valence. In addition, host reaction valence impacted perceptions of guest
trustworthiness, which influenced final attitude toward color therapy through its
impact on perceived argument quality.
Transcribed Image Text:RQ3: Process of Reaction Shot Influence To understand the process through which reaction shot valence influences atti- tudes, we used the structural equation modeling program AMOS to model the relationship among the following variables: initial attitude toward color therapy; attitude toward talk shows; host reaction valence, audience reaction valence, and their interaction; perceived similarity to the audience; the interaction between audience reaction valence and perceived similarity to audience; perceptions of the host's and the guest's trustworthiness and expertise; perceived argument strength; average thought valence; and final attitude toward color therapy. In developing the model, we considered the following three types of relationships: (a) those we would expect to exist theoretically based on cognitive response models of persua- sion (e.g., initial attitude toward color therapy should impact perceptions of argu- ment quality and final attitude toward color therapy; perceptions of argument quality should relate to final attitude toward color therapy; perceptions of source and arguments should contribute to cognitive response valence); (b) additional relationships that appeared in the data that were also theoretically consistent (e.g., perceptions of guest credibility influencing perceived argument quality; percep- tions of guest expertise influencing perceptions of guest trustworthiness); and (c) relationships that appeared in the data that related to our hypotheses and research questions (e.g., the effect of the host-audience reaction interaction on cognitive response valence; the effect of host reaction valence on guest trustworthiness). Host reaction and audience reaction valence were included as exogenous vari- ables. Error terms for each endogenous variable were set at 1. To arrive at our final model (see Figure 1), we systematically removed nonsig- nificant paths (p> .05). In the interest of parsimony, we also removed any variable that did not either directly or indirectly affect final attitude toward color therapy (e.g., host likability). The goodness of the path model's fit to the data was judged by several criteria: (a) a nonsignificant p-value for the chi-square test and a x²/df ratio of 2 or less; (b) a CFI (comparative fit index) or RFI (relative fit index) of .90 or greater, as close to 1 as possible (Bentler, 1990); (c) an RMR (root mean square residual) as small as possible, and (d) an RMSEA (root mean square error of approximation) less than or equal to .05 for a close fit or .08 for a reasonable fit (Browne & Cudeck, 1993). Our resulting model fits the data well (x²= 37.61, df = 46, p= .81; CFI= 1.00; RMR = .087; RMSEA = .000). In sum, the model suggests that host and audience reaction valences had their most notable influence on final attitude toward color therapy through their interaction and its impact on average thought valence. In addition, host reaction valence impacted perceptions of guest trustworthiness, which influenced final attitude toward color therapy through its impact on perceived argument quality.
Initial attitude
color therapy
Audience
reaction
Host
reaction
24
.69
69
.14
.38
Guest
expertise
Host/audience
interaction
Host
expertise
.32
Attitude
talk shows
47
&
20
Guest
trust
F
Host
trust
17
23
.15
51
24
.13
Average
thought
valence
.37
Perceived
argument
quality
Figure 1. Path analysis of variables influencing attitude toward color therapy.
Final attitude
color therapy
Transcribed Image Text:Initial attitude color therapy Audience reaction Host reaction 24 .69 69 .14 .38 Guest expertise Host/audience interaction Host expertise .32 Attitude talk shows 47 & 20 Guest trust F Host trust 17 23 .15 51 24 .13 Average thought valence .37 Perceived argument quality Figure 1. Path analysis of variables influencing attitude toward color therapy. Final attitude color therapy
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