Was this an expected finding? Provide a rationale for your answer. The mean baseline depression score of the experimental group is 14.00 and the mean posttest depression score of the experimental group is 13.36. The posttest score is 0.64 lower than the baseline score. This was expected as the experimental group finished the six week empowerment program.
The F ratio or value = 9.619 which is significant at p = 0.005 and α for the study is 0.05. Since the p value which is 0.005 is less than the α which is 0.05, it means a rejection of the null hypothesis, which means a significant difference does exists between the control group and the treatment group. 2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks?
Yes, it is significant because as indicated by the asterisk, p <0.05 is the least acceptable value for statistical significance. 3. Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months? Is this t ratio statistically significant? What does this result mean?
Mojtabi and Nicholson (1995) asked 50 senior psychiatrists in the U.S. to differentiate between bizarre and non-bizarre symptoms and found that the inter-rater reliability had a correlation of +0.4. This shows that the central diagnostic requirement lack sufficient inter-rater reliability for it to be a reliable method of schizophrenia diagnoses. Also Whaley et al (2001) found that inter-rater reliability correlations in diagnoses were as low as +0.11. This, again, shows that there are inconsistencies amongst clinicians that are diagnosing patients, which begins to question the confidence we can have in professional diagnosis. Another issue is test-retest reliability.
In the treatment of major depressive disorder there are both arguments saying antidepressants are significantly better than the placebo, and one that say there is little effect using antidepressants compared with the placebo. This question is supported by the points that when treating depression, acute antidepressant mono-therapy has a 40% remission using the placebo-controlled trials, and a 25% remission rate with just the placebo. Many of the randomized studies conducted have shown that there is not much of a difference in MED vs. PBO, ruling out the concern of more care to the placebo patients rather than the ones taking the antidepressants, but there is still the issue of poorly
A researcher is investigating the effects of anxiety on creativity. Individuals with varying levels of anxiety are asked to complete a measure of creativity. The results show a classic U-shaped distribution; that is, individuals with moderate levels of anxiety score the highest on tests of creativity. Individuals with very low or very high levels of anxiety score much lower on tests of creativity. What would be a good statistic to use in this case?
Provide a rationale for your answer. Discuss the meaning of this result in this study. Yes t = -1.99 is significant because the p= 0.049 value is smaller than alpha (a) that was set at 0.05 for this study. From the study, this means that there is a significant difference between the results obtained from men and women since this is one of the values that allows the selected hypothesis to be correct, the significance is support to the performed experiment. 4.
Another key problem was that there were was no direct manipulation of the independent variable so the study doesn’t tell us which element of the stress index is most important and related to the decrease in immune function. Therefore a cause and effect relationship cannot be entirely confirmed, yet a strong correlation between the life stress and the common cold occurred, and for that reason it can be assumed that they were associated with one another. On the other hand the study measured the health outcomes of the participants which proved that there was a relationship between the variables. The results show that the higher the stress index it scored, the more susceptible the participants were to the common cold which subsequently supports Cohen’s theory. Also the study was covered by rigorous ethical considerations as all
RES/342--- This produced a 28/30 on the final 1) What are the critical z-values for a two-tailed hypothesis test if the significant level = 0.01? C. ± 2.58 2) In classical hypothesis testing, the test statistic is to the critical value what the __________. A. ‘p-value’ is to alpha 3) For a hypothesis test of a single population mean at 95% confidence level, a calculated Z score of 1.7 supports the conclusion that A. the population mean is greater than the hypothesized value 4) If the paired differences are normal in a test of mean differences, then the distribution used for testing is the C. student distribution 5) One hundred women were polled and 60 reported successfully communicating an automobile problem to an auto repairman. A sample of 150 men had 95 reporting the same success.
Half of the individuals were divorced and the other half was widowed. The study found that widowed individuals showed a higher life satisfaction before than after, whereas the divorced group showed the opposite result. Research into life changes can be criticized for being correlation they therefore cannot imply causality, there also may be other factors to consider such as depression and chronic physical illnesses which may lead to life problems rather than be caused by the. Rahe’s study had a correlation of 0.118 which isn’t very strong as a per correlation has a correlation of 1. Rahe’s study can also be deemed as androcentric and ethnocentric.