Which of the following is true about the chi-square statistic?
a. Expected and observed frequencies or proportions are compared.
b. Interval level data are used for all variables.
c. Post hoc testing is used to identify areas of group differences.
d. Results are reported in terms of differences between group means.
ANS: A
The chi-square test of independence examines the frequencies of observed data and compares
them with the frequencies that could be expected to occur if the data categories were actually independent of each other.
The data do not have to be interval level.
Post hoc analyses can be used to identify the categories where the differences lie.
Results are reported as differences from expected frequencies.
You might also like to view...
Why do some researchers believe data regarding health behaviors may be inaccurate in relation to men?
a. Men are not socialized to tell the truth when interviewed. b. Men do not know when they are ill. c. Most of the data are collected about and from women. d. Most of the data are collected by women.
A client newly diagnosed with Ewing's sarcoma is most likely to exhibit which laboratory finding?
a. Elevated red blood cells (RBCs) b. Elevated alkaline phosphatase (ALP) c. Decreased erythrocyte sedimentation rate (ESR) d. Decreased serum lactate dehydrogenase (LDH)
The client is 8 hours postoperative from limb salvage surgery for a tumor of the left thigh
On assessment, the nurse notes that the toes of the left foot are more edematous than they were 1 hour before, cooler to the touch, and have a slower capillary refill. What is the nurse's priority action at this time? A. Elevate the left foot. B. Notify the physician. C. Loosen the pressure dressing. D. Apply ice to the distal extremity.
Study results are in the opposite direction of the study prediction. What actions should be taken by the researcher? Standard Text: Select all that apply
1. Try to make sense of the findings. 2. Give some explanation for the results. 3. Make recommendations for further study. 4. State that the null hypothesis is rejected. 5. Report that the data are flawed and not significant.