The means and standard deviations are presented in Table 1. A repeated-measures analysis of variance indicated that there v significant differences among the attention scores after four-year-old children watch a fast-paced cartoon, watch an educational cartoon, or participate in a drawing activity, F( p = ,n2 = TABLE 1 Attention scores of four-year-olds after nine minutes of a fast-paced cartoon, an educational cartoon, or a drawing activity Fast-Paced Cartoon Educational Cartoon Drawing Activity M SD

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Tests of Within-Subjects Effects
Type III Sum of Squares
df
Mean Square
F
Sig
Activity Type
Sphericity Assumed
287.414
2
143.707
36.265
0.000
Greenhouse_Geisser
287.414
1.880
152.880
36.265
0.000
Huynh-Feldt
287.414
1.940
148.152
36.265
0.000
Lower-Bound
287.414
1
287.414
36.265
0.000
Error (Activity Type)
Sphericity Assumed
229.839
58
3.963
Greenhouse_ Geisser
229.839
54.520
4.216
Huynh-Feldt
229.839
56.260
4.085
Lower-Bound
229.839
29
7.925
The two prior tables consist of the output of the statistical computing package. Considering these results, fill in the blanks in the following statement
that describes the results in APA format. Assume that your chosen significance level is a = .05. (Note: These results are hypothetical.)
The means and standard deviations are presented in Table 1. A repeated-measures analysis of variance indicated that there
v significant
differences among the attention scores after four-year-old children watch a fast-paced cartoon, watch an educational cartoon, or participate in a
drawing activity, F(
p =
n2 =
TABLE 1
Attention scores of four-year-olds after nine minutes of a fast-paced cartoon, an educational cartoon, or a drawing activity
Fast-Paced Cartoon
Educational Cartoon
Drawing Activity
M
SD
Transcribed Image Text:Tests of Within-Subjects Effects Type III Sum of Squares df Mean Square F Sig Activity Type Sphericity Assumed 287.414 2 143.707 36.265 0.000 Greenhouse_Geisser 287.414 1.880 152.880 36.265 0.000 Huynh-Feldt 287.414 1.940 148.152 36.265 0.000 Lower-Bound 287.414 1 287.414 36.265 0.000 Error (Activity Type) Sphericity Assumed 229.839 58 3.963 Greenhouse_ Geisser 229.839 54.520 4.216 Huynh-Feldt 229.839 56.260 4.085 Lower-Bound 229.839 29 7.925 The two prior tables consist of the output of the statistical computing package. Considering these results, fill in the blanks in the following statement that describes the results in APA format. Assume that your chosen significance level is a = .05. (Note: These results are hypothetical.) The means and standard deviations are presented in Table 1. A repeated-measures analysis of variance indicated that there v significant differences among the attention scores after four-year-old children watch a fast-paced cartoon, watch an educational cartoon, or participate in a drawing activity, F( p = n2 = TABLE 1 Attention scores of four-year-olds after nine minutes of a fast-paced cartoon, an educational cartoon, or a drawing activity Fast-Paced Cartoon Educational Cartoon Drawing Activity M SD
Researchers at the University of Virginia randomly assigned 60 four-year-olds to one of three tasks: watch a fast-paced television cartoon, watch a
slower-paced educational cartoon, or participate in a drawing activity for a nine-minute period. At the end of the period, the researchers tested the
children's "executive function," using various tests intended to measure characteristics such as self-regulation and working memory. These
researchers found that those children who watched the fast-paced cartoon scored lower on the different measures of executive function than those
children who either watched the educational cartoon or did the drawing activity. [Source: Lillard, A. S. & Peterson, J. (2011). The immediate impact of
different types of television on young children's executive function. Pediatrics, 128(4), 644-649.]
Suppose you are a cognitive psychologist and want to see whether you would find similar results using a repeated-measures design and focusing on a
measure of attention. You collect a random sample of 30 four-year-olds to each participate in all three activities, measuring their attention after each
activity. To avoid order and carryover effects, you randomize the order in which each child participates in the activity and space the three activities at
least one week apart.
You use a statistical computing package, such as SPSS® to conduct a repeated-measures ANOVA. Assume your data satisfies the required
assumptions for a repeated-measures ANOVA.
Descriptive Statistics
Мean
Std Deviation
Fast-Paced Cartoon
29.5213
10.3085
30
Educational Cartoon
33.0213
10.1650
30
Drawing Activity
33.5480
10.3153
30
Tests of Within-Subjects Effects
Type III Sum of Squares
df
Mean Square
Sig
Activity Type
Sphericity Assumed
287.414
143.707
36.265
0.000
Greenhouse_Geisser
287.414
1.880
152.880
36.265
0.000
Huynh-Feldt
287.414
1.940
148.152
36.265
0.000
MacBook Air
Transcribed Image Text:Researchers at the University of Virginia randomly assigned 60 four-year-olds to one of three tasks: watch a fast-paced television cartoon, watch a slower-paced educational cartoon, or participate in a drawing activity for a nine-minute period. At the end of the period, the researchers tested the children's "executive function," using various tests intended to measure characteristics such as self-regulation and working memory. These researchers found that those children who watched the fast-paced cartoon scored lower on the different measures of executive function than those children who either watched the educational cartoon or did the drawing activity. [Source: Lillard, A. S. & Peterson, J. (2011). The immediate impact of different types of television on young children's executive function. Pediatrics, 128(4), 644-649.] Suppose you are a cognitive psychologist and want to see whether you would find similar results using a repeated-measures design and focusing on a measure of attention. You collect a random sample of 30 four-year-olds to each participate in all three activities, measuring their attention after each activity. To avoid order and carryover effects, you randomize the order in which each child participates in the activity and space the three activities at least one week apart. You use a statistical computing package, such as SPSS® to conduct a repeated-measures ANOVA. Assume your data satisfies the required assumptions for a repeated-measures ANOVA. Descriptive Statistics Мean Std Deviation Fast-Paced Cartoon 29.5213 10.3085 30 Educational Cartoon 33.0213 10.1650 30 Drawing Activity 33.5480 10.3153 30 Tests of Within-Subjects Effects Type III Sum of Squares df Mean Square Sig Activity Type Sphericity Assumed 287.414 143.707 36.265 0.000 Greenhouse_Geisser 287.414 1.880 152.880 36.265 0.000 Huynh-Feldt 287.414 1.940 148.152 36.265 0.000 MacBook Air
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