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Implicit Measures

Implicit measures are cognition measurement procedures whose intent is to capture automatic psychological attributes that respondents are unwilling or unable to report. Measures of implicit processes originated in cognitive psychology and are used in studies that examine attitudes and feelings of respondents that they may not prefer to openly report due to embarrassment or apprehension or do not have the ability to recognize or report their mental states or inner experiences. This method is used in communication and media effects research that investigates individual-level processes such as attitude change toward racial minorities, processing of media information, and effects of media content on intentions and behaviors.

Although implicit measures cannot replace traditional self-report methodologies, they offer communication researchers important information on affect, motives, emotion, and cognitive processes that occur unintentionally and unconsciously. Research has reported a discrepancy between explicit (e.g., self-report) and implicit measures of attitudes (e.g., attitudes of racial prejudice). Although this may suggest that implicit measures provide higher validity, it may also indicate that these measures may be assessing different underlying processes.

This entry discusses a number of measures used to assess implicit cognitions such as measures of attention with a focus on visual attention, inferences, and processing time. In addition, an overview of recall and recognition measures of memory is provided with relevant examples. Next, priming and a number of priming techniques are explained in detail. Finally, a brief description of physiological measures of implicit mental states is offered.

Measures of Attention

Many of the implicit measures used in communication research are derived from the model of information processing. According to this model, individuals acquire knowledge through four phases: attention (selecting specific information in the environment), encoding (understanding selected information), storage of information in long-term memory, and retrieval (information that is remembered). One of the assumptions of the information-processing model is that individuals are limited in their ability to attend to multiple stimuli in a single moment of time. Hence, attention involves selecting among multiple stimuli (e.g., visual, auditory) according to their importance and salience to the receiver. Researchers can indirectly assess the importance and salience of stimuli to individuals using methods that measure attention to specific inputs upon exposure to several stimuli, or comparing length of attention given to some stimuli over others.

A widely used method in attention research is measuring visual attention, which utilizes advanced technology that tracks duration and direction of eye gaze when exposed to pictures, symbols, and words. For example, an impression formation study may use eye-tracking technology to assess the selective attention of participants when exposed to several individuals. Other studies have measured the direction and sequence of eye fixation when analyzing features of web content, and the relationship between eye-gaze patterns and decision making. Attention can also be measured by the duration of eye gaze as an indicator of processing time, attention, or interest. For example, individuals spend a long time processing information that is unfamiliar, interesting, and complex.

Another method that measures automatic attention (unintended attention) uses stimulus interference. In this method, the researcher assesses whether the presence of a certain stimulus will interfere with the attention given to other surrounding stimuli. A popular measure of automatic attention is the Stroop effect, which measures how long (reaction time) it takes a participant to identify the color of a word when the semantic meaning matches the correct color (e.g., the word “red” printed in red ink) in comparison to when it does not (e.g., the word “red” printed in green ink). Studies have found that it takes longer to correctly identify the color of the word in the interference condition (mismatch between name of the color and color of the ink) than when the name of the color matches the color of the ink. These results indicate that processing the semantic meaning of words is automatic and unchanged by interfering stimuli (such as changing the ink color). In other words, individuals automatically understand the meanings of the words whereas recognizing the colors of words is not an automatic process. Hence, individuals will recognize the word “red” as the color red automatically although the word “red” is printed in green ink.

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