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Accounting, Finance, SPSS
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Stroop Effect (Research Paper Sample)
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This was a research paper that where data having stroop effect recorded in seconds among students was provided. tHe aim o f the study was to determine the stroop performance accross two age groups and gender. It involved using SPSS in analysis . This study aimed to test the hypothesis; that people aged 18 to 25 have a better ability to read words easily than those over 25 years. It investigated the Stroop effect among two major groups of participants; those aged between 18-25 and those aged above 25 years, grouped 26-75. source..
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Stroop Effect
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Abstract
In the field of cognitive psychology, the Stroop effect has been used to assess brain functioning based on the ability to read words spelled differently from the colors they represent. This helps us understand cognitive flexibility, attention processes, and inhibition. However, limited studies have explored the Stroop effect based on age-related differences. This data was then analyzed using a T-test. Further, analysis was done on the Stroop performance based on gender, and results are presented in tables. The results showed that participants within the age group 26-75 exhibited significantly greater interference or Stroop effects compared to the younger adults aged 18-25 (P<0,05). Further, females exhibited significantly higher Stroop effects compared to men. These results suggest that as one grows old, one experiences cognitive aging which reduces attention flexibility, and inhibitory control leading to lower response time while performing the Stroop task. These insights can be applied in clinical practice to understand the management of cognitive impairment as well as in education to improve learning outcomes. However, while this study shows greater interference among females, there is a need for further studies exploring biological and sociocultural factors to understand reported variations in findings. Future studies should employ longitudinal designs to understand the Stroop performance as age changes.
Keywords: Stroop effect, Stroop task, age differences, gender differences, interference, cognitive aging
Introduction
In this section, the paper introduces the Stroop effect and its significance in psychology and cognitive science. It will also explore relevant studies on the Stroop test, provide study rationale, and restate the hypothesis.
Introduction to the Stroop Effect
In psychology, the Stroop effect is one of the phenomena that describes how the brain works, especially in processing information. Ridley Stroop first described the concept in 1935 noting that subjects who were introduced to words spelling differently from the colors had challenges naming these colors (Thompson & Bennett, 2024). According to Algom and Chajut (2019), Stroop’s findings laid a foundation for psychology studies to identify the relationship between brain functioning and Stroop performance. The study also underscores the ability of the brain to avoid automatic processes like reading while favoring deliberate actions like identifying colors.
Application of the Stroop Effect Social Sciences and Psychology
Since the introduction of the Stroop effect, the concept has been applied in the field of psychology. A study by Grégoire et al. (2019) noted that in automaticity, the Stroop effect has been used to determine the ability of the brain to perform tasks effortlessly, for example, frequent exposure to colored words like Blue enables individuals to read the word effortlessly specially when they have interacted with it repeatedly. Similarly, Parris et al. (2021) argue that exposure to certain tasks, actions, and words frequently creates a reflexive activity within the brain. This makes these processes occur automatically with less effort. These studies explain why humans perform certain automatic processes with less effort.
The Stroop effect also explains differences in processing speed within the brain. According to Hershman et al. (2024), there is an increased response time when a word conflicts with a color. For instance, when the word “red” in blue ink conflicts with the ink color, the processing time for the brain is longer. This is because the brain requires additional effort to resolve the conflict between the color and the word. Similarly, Bailey (2023) argues that controlled processing occurs when there is a conflict between the color and the word spelling the color, the Stroop task is slower; however, reading the word requires automatic processing that is much faster. The studies justify the difference in processing times when the brain struggles to reconcile the two processing modes.
In medical psychology, Stroop tests have been used in clinical assessments. Skau et al. (2019), the Stroop test to assess traumatic brain injury. It helps assess inhibitory control, processing speed, and attention to determine cognitive performance after injury. Another study by Kaypakli et al. (2022) notes that Stroop tests help determine the inhibitory processes and attention control among individuals with attention-deficient hyperactivity disorders. Furthermore, Periáñez et al. (2020) note that the Stroop interference index is used in diagnosing cognitive disorders to inform Stroop-based rehabilitation and management. These studies underscore the significance of the Stroop test in cognitive assessment, diagnosis, and management of psychological disorders and challenges.
Existing literature has also explored the relationship between the Stroop effect and gender differences; however, findings show variations. For instance, according to Sjoberg et al. (2022), there was no difference in Stroop performance based on gender. These findings are contrary to Miao (2022) who argues that females have higher Stroop effect compared to men. The variations presented by these studies warrant further studies to explore sociocultural differences across regions that may lead to different levels of processing information across genders.
Psychologists have explored the age and Stroop performance. According to Kaya and Alpozgen (2021), individuals aged between 18 and 35 have better Stroop task performance than older adults. Another study by Meléndez et al. (2020) argues that younger adults have better processing speed and take a shorter time resolving conflicts; however, this reduces as people age. Secondly, the study also notes that younger adults read more frequently, making word recognition automatic compared to older adults. These studies underscore the role of age differences in determining the possibility of completing Stroop tasks.
The rationale of the Study
While existing studies have explored the application of the Stroop effect; including understanding automaticity, attention, inhibition, and its relevance in clinical application and the brain functioning in these processes, there is limited evidence of how the Stroop performance varies across age groups (Fong et al., 2021). This study bridges this gap by exploring the Stroop effect based on the individual ages. Addressing this gap enhances a more accurate application of the Stroop effect. Furthermore, it provides a more precise understanding of whether the Stroop performance reduces as age increases. Lastly, as previous studies report the application of the Stroop test, these studies fail to recognize individual variability; Holmlund et al. (2023) report that different individuals have varying abilities to exhibit inhibitory control. By exploring the Stroop effect based on individual ages, this study helps understand individual variability.
Hypothesis Statement
This study predicts that people aged 18 to 25 will have a better ability to read words easily than those over 25 years. This hypothesis is guided by previous studies that argue that as age increases, Stroop performance is likely to reduce due to depreciation in cognitive functioning (Kaya & Alpozgen, 2021; Meléndez et al., 2020)
Methods
In this section, the paper describes the participants who participated in the study in terms of their age range, gender distribution, and their response time. It also presents materials and procedures that were used in data collection.
Participants
The study recruited 150 participants. A wide range of participants were included to help understand individual variability in Stroop performance. First, a wide age range was included from those aged 18 years old to 75 years old. Participants comprised both males and females. The response was recorded in seconds during the Stroop task.
Materials and Procedures
The participants were given three sheets of paper containing color words including black, green, red, blue, and yellow containing 150 items. These words were printed in various ink colors. They were also given pencils to record the response time.
The procedure included administering the Stroop test to individual participants who sat four feet away with an easel at eye level. The test encompassed three conditions, including participants who named the words unrelated to the color randomly (neutral condition). The second condition was those who named the color of words different from the meaning of the words (incongruent condition) and those who matched the color of words with the written meaning (congruent condition). The participants were then instructed to proceed a name the color of the ink. They were to do this without stopping and as fast as possible.
After obtaining the data, including the read word time, say color time, the Stroop effect was calculated and recorded for every individual. This data was then analyzed using a T-test, assessing the significance of age differences. This was done by comparing the response time between participants within the age range 18-25, and those 25 years older. Further, analysis was done on the Stroop performance based on gender, and results are presented in tables.
Results
Table 1 shows the mean of the Stroop effect based on the age categories. Among participants aged 18-25, the man is zero, this shows minimal interference between the reading word among participants falling under this category and saying color. However, among the individuals in the older age group (26-75), the mean Stroop effect is 2.47, indicating that there is a significant difference between the naming colors and reading words.
Table SEQ Table \* ARABIC 1: Descriptive Statistics for Two Age Groups
Group
Sample Size (N)
Mean (M)
Standard Deviation (SD)
Standard Er...
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