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Question 26 Take a look at the following output Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics

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Question 26

Take a look at the following output

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

R Square Change

F Change

df1

df2

Sig. F Change

1

.586a

.344

.326

8.614

.344

18.957

6

217

.000

a. Predictors: (Constant), general health, age, sex, HADS Depression, physical fitness, HADS Anxiety

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

8439.105

6

1406.518

18.957

.000b

Residual

16100.676

217

74.197

Total

24539.781

223

a. Dependent Variable: sleepy & assoc sensations scale

b. Predictors: (Constant), general health, age, sex, HADS Depression, physical fitness, HADS Anxiety

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

95.0% Confidence Interval for B

B

Std. Error

Beta

Lower Bound

Upper Bound

1

(Constant)

28.250

4.464

6.328

.000

19.451

37.049

sex

-1.662

1.231

-.078

-1.349

.179

-4.089

.765

age

-.124

.046

-.150

-2.717

.007

-.214

-.034

physical fitness

-1.135

.406

-.186

-2.795

.006

-1.936

-.335

HADS Depression

.920

.245

.257

3.760

.000

.438

1.402

HADS Anxiety

.895

.212

.290

4.216

.000

.477

1.313

general health

.312

.459

.045

.679

.498

-.593

1.216

a. Dependent Variable: sleepy & assoc sensations scale

and answer the following two questions. Overall, is the model, statistically significant?

Group of answer choices

No, because the Bonferroni correction negates the p value

Yes, because the T values are all above zero

Yes, because the ANOVA is statistically significant

No, because the ANOVA does not account for multiple comparisons

Yes, because the Bonferroni correction applies

Question 27

Which of these variable combinations accurately represent the final model?

Group of answer choices

Only general health is not in the model, the rest all contribute

Age, Physical fitness, HADS depression, and HADS anxiety

All of the variables that entered into the model were significant

None of the variables that entered into the model were significant

Question 28

Why are the R2and the adjusted R2two different numbers?

Group of answer choices

The R2includes all of the variables in the model, even those that don't contribute to the model statistically.

The adjusted R2reduces the effect size to account for the variables that do not enter into the model.

There is no practical difference as the numbers are very close

The R squared has only the variables that entered into the model, but the adjusted R squared only includes those that are significant

One is the coefficient of determination and the other is the significance level

Question 29

The next two questions relate to the Lindseth , et al. (2014) study.

Lindseth, G. N., Coolahan, S. E., Petros, T. V., & Lindseth, P. D. (2014). Neurobehavioral effects of aspartame consumption.Research in nursing & health,37(3), 185-193.

The researchers chose to use paired T tests for their analysis, because the observations were dependent, as the participants served as their own control.

True or False?

Group of answer choices

False

True

Question 30

Lindseth et al. (2014) used an ANOVA and paired T tests in their study, to determine the effects of Aspartame consumption on spatial orientation, working memory, mood, and depression. They present their findings in table 2, below.

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Table 2. Within-Subject Differences in Neurobehavior Scores After High and Low Aspartame Intake (N = 28) Variable M SD Paired t-test p Spatial orientation High-aspartame 14.1 4.2 2.4 .03. Low-aspartame 16.6 4.3 Working memory High-aspartame 730.0 152.7 1.5 N.S. Low-aspartame 761.1 201.6 Mood (irritability) High-aspartame 33.4 9.0 3.4 .002.. Low-aspartame 30.5 7.3 Depression High-aspartame 36.8 7.0 3.8 001.. Low-aspartame 34.4 6.2 . p<.05. aways over time key measure values median percent of patients who leave unseen n dateinitial extended limits reveal improvement ul="97.86" cl average days ll="78.47" mos m s j-05 i revised after il u jos mnumber complaints number patient per month jan march june july oct nov. o fob ucl lcl . control limit dec.family critical illness willingness heightened to assume family emotional turmoil self roles masking emotions achieving confidence in and trust meaning nurse role anwes advocating intertwined required be nursing for knowledge with has asinn collaborating gaining access let me surveillance information seeking protection monitoring building relationships figure conceptual model: members response a loved one>

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