Chapter
1. Within-Groups ANOVA: Can a Picture Produce 1000 Words?
1.1 Within-Groups ANOVA: Can a Picture Produce 1000 Words?
WITHIN-GROUPS ANOVA: CAN A PICTURE PRODUCE 1000 WORDS?
Can a Picture Produce 1000 Words?
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You must read each slide, and complete any questions on the slide, in sequence.
Welcome
Can a Picture Produce 1000 Words?
Kelly M. Goedert, Seton Hall University
Susan A. Nolan, Seton Hall University
Kaylise D. Algrim, Seton Hall University
Aphasia is a language disorder that frequently occurs after an injury to the left hemisphere of the brain, such as a stroke. Individuals with aphasia have problems with comprehending speech or with producing speech, but are otherwise intellectually normal. Aphasia is a very frustrating disorder for patients. Imagine knowing what you wanted to say, but not being able to say it! To help patients with aphasia communicate, therapists often ask patients to draw what they are trying to say. Researchers Pei-Fang Hung and Jennifer Ostergren (2019) wondered whether drawing might be more than just an alternative means of communication—that is, whether drawing could actually help patients with aphasia verbalize what they are trying to say.
BSIP/Universal Images Group/Getty Images
Question
1.1
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1.2
For the experiment, the researchers recruited 15 participants with aphasia from rehabilitation centers in the metropolitan area of Los Angeles, California. The researchers wrote, “[T]he participants were asked to name the same thirty (30) black and white line-drawing pictures under three different conditions on three separate days: i) confrontation naming only (CN), ii) naming with drawing (DN), and iii) naming with writing (WN)” (p. 6). In the confrontation naming condition, participants were shown each drawing one at a time. For each drawing, they were confronted with the question: “What is this?” In the naming with drawing condition, participants were told, “Draw the picture you were just shown,” and then the therapist would prompt, “What are you drawing?” In the naming with writing condition, participants were told, “Write the name of the picture you were just shown,” and then the therapist would ask them to say aloud the name of the picture. With these three conditions, the researchers established two controls for the drawing: the confrontation naming–only condition and the naming with writing condition.
Question
1.2
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Correct! The same participants were in all three conditions, so it is a within-groups (repeated-measures) design. There was one independent variable, the naming condition.
Actually, the same participants were in all the conditions, so it is a within-groups (repeated-measures) design. There was one independent variable, the naming condition.
1.3
The researchers described how they measured naming accuracy: “Participants’ naming responses were scored via a 3-point scoring system, including two (2), one (1), and zero (0) points. A correct and well-articulated response was scored as two (2) points. An incorrect response or no response was scored as zero (0) points. . . . One point (1) was given to a correct response but with a delay that lasted less than 20 seconds. One point was also assigned to responses when only one phoneme was produced inaccurately and the target word was still comprehensible and recognizable. . . . The maximum points of each naming condition were sixty (60) points respectively when a participant accurately named all thirty items” (p. 8).
Question
1.3
VGBdgrId2f7Fub72Ruwcd7tPQ1KK4/4Tp2i5ekN/cVNkJ1jmBOEOxC7xh6hqtw7yD8Govy0MBNYIugL/JnE/LWwj27H9rnD0bYlsf0ePLED7kg9YXhiu5tk8kZrnwhcNdYagVBBkbDVzE9lPIWm564iBZxIYyoE2cpTxR9eU7Yi1NNOH/dPv4IOx7YGEj2bDE4HQ7icGwNGgHCuNZrAaGswJ5FIZRWoaLm+EuUv/YJkgiV7PnDV+9CTJj3IheQPJU6RuOl4coeV5UI38jeM/e1M9An3llUdwDg+90ANi97WVwAuK
Correct! Naming accuracy is the dependent variable in this study. The researchers expected naming accuracy to vary with, or depend on, the independent variable of naming condition.
Actually, naming accuracy is the dependent variable in this study. The researchers expected naming accuracy to vary with, or depend on, the independent variable of naming condition.
1.4
In describing how they analyzed the data, the researchers wrote, “A one-way, repeated measures analysis of variance (ANOVA) was computed to analyze the impact of naming conditions on the participants’ naming accuracy. The significance level was set at p < .05” (p. 12).
Question
1.4
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
Correct! Because the study included a single independent variable, but it had more than two levels, the researchers would not conduct a t test, which is appropriate only for comparing two means. Because all participants were in all conditions, this is a repeated-measures (within-groups) ANOVA.
Actually, because the study included a single independent variable, but it had more than two levels, the researchers would not conduct a t test, which is appropriate only for comparing two means. Because all participants were in all conditions, this is a repeated-measures (within-groups) ANOVA.
1.5
When describing their results, the researchers provided the means and standard deviations of each naming condition, as well as the results of the ANOVA,
in tables in their paper. On average, naming accuracy was M = 30.47 (SD = 15.4) in the naming-only condition, M = 32.07 (SD = 15.4) in the naming with
drawing condition, and M = 28.40 (SD = 15.6) in the naming with writing condition. The results of the ANOVA were F(2, 28) = 5.87,
p = .007, η2 = .295.
[Note: We have altered the df reported for the F test to reflect the correct df for the repeated-measures (within-groups) ANOVA.]
Question
1.5
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
Correct! Because the p value is less than 0.05, we know that there is statistical significance, but because the independent variable has more than two levels we do not know which pairs of means differ. We need post hoc tests to tell us that.
Actually, because the p value is less than 0.05, we know that there is statistical significance, but because the independent variable has more than two levels we do not know which pairs of means differ. We need post hoc tests to tell us that.
1.6
We reproduce the description of the results again here, adding the researchers’ description of the post hoc tests: On average,
naming accuracy was M = 30.47 (SD = 15.4) in the naming-only condition, M = 32.07 (SD = 15.4) in the naming with drawing condition,
and M = 28.40 (SD = 15.6) in the naming with writing condition. The results of the ANOVA were F(2, 28) = 5.87, p = .007, η2 = .295.
Additionally, the researchers wrote, “Post hoc tests using the Bonferroni correction revealed that the participants performed better
in the naming with drawing condition (DN) than in the naming with writing condition (WN) (M = 32.07 vs. M = 28.40, respectively),
which was statistically significant (p < 0.01). However, no statistically significant difference was found in naming accuracy between CN
and DN and between CN and WN” (p. 12). (Recall that CN refers to “confrontational naming,” what the researchers called the naming-only condition.)
Question
1.6
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Correct! The post hoc tests tell us that the average accuracy in the naming with drawing condition was better than that in the naming with writing condition; however, because there were no other statistically significant differences revealed by the post hoc tests, we cannot say that any of the other pairs of means are different from one another.
Actually, the post hoc tests tell us that the average accuracy in the naming with drawing condition was better than that in the naming with writing condition; however, because there were no other statistically significant differences revealed by the post hoc tests, we cannot say that any of the other pairs of means are different from one another.
1.7
Recall that the researchers reported these results for the ANOVA: F(2, 28) = 5.87, p = .007, η2 = .295.
The η2 (eta-squared) value is a measure of effect size that can be interpreted in the same way as R2.
That is, it tells us the proportion of variance in the dependent variable accounted for by the independent variable.
Question
1.7
yPNiJNLSJCAsm44IX2FlrfNPWLR7JaTVeBkBVQBYdG8sYrUh/c9SNJiHbHKtex14XGmRDU8upEsFb5FvWPDPUvS6EPHwEvNTsJe1njs0YtGUkk3WRxgPCSfsJY3mzfY+1/38xjDGC6FivVEYX19agjK3o1CXdHlCcgXhs/jFMMq9kczoJhKffFF9cOvbWyPgxWAKKjceGufbsUG7EIf0jhG9t1Af7i19BTlUwdErSBTBHY9clUCRRGpk96phsN6CvDXW2BxNm67YtEj0OOjEIE7sm8JeDrtk0ppdjVpwrJSqKgKHQLRiPMKjr0m6xIBi1Z1mBmvA2jbCzxhQJ+fROQ==
Correct! R2 (or in this case η2) effect sizes of 0.14 or greater are considered large, according to Cohen’s standards.
Actually, R2 (or in this case η2) effect sizes of 0.14 or greater are considered large, according to Cohen’s standards.
1.8
Question
1.8
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
Correct! Because participants serve as their own control, within-groups variability due to individual differences (also known as error variability) gets subtracted out, making it easier to obtain statistically significant differences among levels of the independent variable.
Actually, because participants serve as their own control, within-groups variability due to individual differences (also known as error variability) gets subtracted out, making it easier to obtain statistically significance differences among levels of the independent variable.
1.9
The bottom line: Although drawing may be an alternative form of communication for patients with aphasia, it may not help them verbalize what they are trying to say; however, we should be careful not to accept the null hypothesis! Perhaps more research with larger samples is needed.
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