Page 53 - Quantitative Data Analysis
P. 53
Quantitative Data Analysis
Simply Explained Using SPSS
Conclusion
Statistical Conclusions:
1. If the observed test statistic ( or ) falls in the
“rejection region,” outside of the critical value(s), the
conclusion is to Reject the Null Hypothesis.
a. Here, we say the results are “statistically significant”
with a pre-specified level of confidence.
2. If the observed test statistic ( or ) does not fall in the
“rejection region,” inside of the critical value(s), the
conclusion is to Fail to Reject the Null Hypothesis.
In other words, if test statistics value is greater than critical value,
null hypothesis is rejected. If test statistics value is less than critical
value, null hypothesis is fail to reject.
Research Conclusions:
The conclusion must also be stated in terms relating to the original
research question. For example, if null hypothesis is “There is no
significance difference in self-efficacy between male and female
teachers” and statistical conclusion is “reject null hypothesis” then
the research conclusion would be “There is a significance difference
in self-efficacy between male and female teachers”.
.
The Theory and Applications of Statistical Inferences 37
