Question

The null hypothesis states there will be no difference in scores on the ADS between face-to-face...

The null hypothesis states there will be no difference in scores on the ADS between face-to-face counseling and video conference counseling.

The results are t(38) = 0.258, p = .798.

Group Statistics

Group

N

Mean

Std. Deviation

Std. Error Mean

ADS face to face

video

20

20

9.2500

9.0000

3.14350

2.97357

.70291

.66491

Independent Samples Test

Levene’s Test for Equality of variance

t-test for Equality of Means

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the difference

lower

Upper

ADS Equal variances assume

Equal variances not assumed

.108

.744

.258

.258

38

37.883

.798

.798

.25000

.25000

.96757

96757

-1.70874

-1.70893

2.20874

2.20893

What type of study design is used? Please explain.

Does the study design accurately test the null hypothesis?

Is the correct statistical test used to analyze the data? Why? Why not?

Regardless of whether or not the correct statistical test was used, are the results statistically significant? Social science research uses a p-value of .05 to determine statistical significance.

Does the researcher reject or fail to reject the null hypothesis?

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