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Persuasion: Motivational Factors Influencing Attitude Change



How someone can be persuaded to change their attitude towards another person, idea, or object depends on a number of key factors, including the source and content of the message.

For instance, expert sources with sound arguments are typically more persuasive—people are more likely to buy into the message. In particular, such information aids persuasion when individuals are motivated to pay close attention and process the details at a higher level of thinking, known as high elaboration.

However, sometimes people are not motivated to carefully think about issues at hand, especially if the details are not personally relevant. In this case, they don’t process communication in the same way—their mental effort is low. With such minimal elaboration, cognitive misers can rely more on general impressions than well-crafted arguments for persuasion.

These examples illustrate different ways of processing stimuli—centrally and peripherally—and their outcomes on attitude change, which forms the basis of the Elaboration Likelihood Model of Persuasion.

This video demonstrates the original experimental methods developed by Richard Petty, John Cacioppo, and colleagues to investigate the success of persuasive messages under different motivational circumstances.

In this experiment, participants think they are assessing the audio quality of recorded arguments, when in reality that’s a cover task, as they are being manipulated with recordings that vary in their amounts of motivational relevance, argument content, and source expertise.

For the first factor—motivational relevance—participants are either told that a policy change will affect them soon, which constitutes high involvement, or that it won’t be instituted for some time—of low importance.

To manipulate the second factor, argument strength, participants are further divided into hearing a strong message—one that incorporates data and statistics—or a weak one, content that is based on personal opinions and anecdotal evidence.

Finally, for the third variable—level of expertise—participants are told that the message was generated by highly endowed university professionals—expert sources—or prepared by a local high school student—non-experts.

After listening to the recorded statements, participants are asked to rate the extent of their agreement with the policy implementations on a scale from 1, do not agree, to 11—agree completely. The responses are then standardized and form the dependent variable—post-communication attitude scores.

Given the number of factors involved, it is hypothesized that participants hearing strong arguments from expert sources will show greater agreement with the messages than those listening to weak arguments from non-experts.

However, given the potential interaction with motivational relevance, it might be the case that persuasion is influenced differentially, dependent on the level of involvement. Thus, for messages to be convincing, their motivational context should be considered an influential force on persuasion.

Before starting the experiment, conduct a power analysis to determine the appropriate number of participants required for this 2 x 2 x 2 factorial design. To begin, greet each one in the lab and explain the cover story: that they will be assessing the quality of audio recordings on a proposed academic policy change.

First, split participants based on the relevance factor: For those randomly assigned to high-relevance say: "The policy change you are about to hear about will be implemented next year." and to the low-relevance group: "The policy change you are about to hear about will be instituted in 10 years."

Then, to assess the influence of argument strength, further divide the participants into those who will hear either a strong case based on facts or a weak one centered on anecdotes.

For the final factor of source expertise, notify some participants that the recording was generated by an expert at a prestigious university and the rest that it was composed by non-expert local high school students.

Now instruct them to put on the headphones and start the audio recordings: "In the new policy, seniors are required to take a comprehensive exam to graduate. The policy led to greater standardized achievement scores when implemented at other universities." and "In the new policy, seniors are required to take a comprehensive exam to graduate. A friend of the authors took the exam enforced by the policy and now has a prestigious academic position."

When the recordings are over, return with questionnaires. Have each participant rate the extent of their agreement with the policy change on an 11-point scale from strongly opposed to strongly in favor.

To maintain the cover story of assessing the quality of recordings, also ask participants to rate the speaker’s voice quality, the quality of delivery, and the level of enthusiasm.

Finally, debrief participants and thank them for taking part in the study.

To visualize the data, plot the average agreement measure—post-communication attitudes—first comparing argument strength against the levels of motivational relevance.

Based on an overall 2 x 2 x 2 ANOVA, there was a main effect of strength, where strong statements led to greater agreement than weak ones. Furthermore, there was an interaction effect: When participants were in the high-relevance group, the effect of argument quality was stronger than for those who were in the low-relevance group.

In addition, graph the average values for those exposed to different levels of expertise and motivational relevance. In this case, there was a main effect of source, with greater agreement when the level of expertise was high versus low.

Here, the interaction effect was opposite: For participants in the low-relevance group, the effect of high-source expertise was greater than for those in the high-relevance condition. Together, these results demonstrate different routes to successful persuasion.

Now that you are familiar with the factors leading to persuasion, let’s look at how researchers apply the model to influence marketing products and even public health campaigns.

Businesses can use the Elaboration Likelihood Model of persuasion to maximize their marketing to target audiences. For example, if trying to sell a video game, ads directed towards highly relevant teenage boys should include a strong statement with statistics that everyone is playing it.

Whereas, flyers trying to convince parents that don’t play—considered low-relevance—to buy it for their child should have credible and expert sources like a pro-gamer endorse the product.

Politicians can also use the model to enhance the persuasiveness of their speeches. When policies are directly relevant to their crowd, such as discussing childcare rights with a crowd of expecting mothers, politicians should use high-quality arguments rather than anecdotes.

In contrast, if the crowd is less interested, like in a discussion of retirement policies to a group of young students, the politician should appear to be an expert instead of crafting a quality argument.

Lastly, the findings can also be used to change people’s attitudes about health care. For example, if a campaign on hypertension is targeting highly relevant, low-income African American communities where rates are high, an argument that is supported by data and facts is more important than emphasizing the source of the public-service announcement.

You’ve just watched JoVE’s video on the success of persuasive messages under varied circumstances. Now you should have a good understanding of how to design and execute an experiment with manipulations of motivation, strength of argument, and expertise of source, how to analyze and assess the results, as well as how to apply the principles to a number of real-world situations.

Thanks for watching!

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