Step 1:Click Analyze, mouse overDescriptive Statistics, and then clickDescriptivesto open the Descriptives box. Step 2:Select the variablesyou want descriptive statistics in SPSS for. If you have multiple variables, you can select one at a time or hold down the Ctrl key and click to select ...
In the section, Test Procedure in SPSS Statistics, we illustrate the SPSS Statistics procedure to perform a two-way MANOVA assuming that no assumptions have been violated. First, we set out the example we use to explain the two-way MANOVA procedure in SPSS Statistics....
Click the "OK" button. SPSS will produce an output displaying your data. The histogram displays your cumulative frequency distribution and the statistics box shows all the other analyses, such as standard deviation, standard error and anything else you chose in Step 4. warnings tips Explore this ...
It’s rare that you’ll want to calculate the Shapiro-Wilk by hand. Many software packages can make the calculations for you. Shapiro Wilk in SPSS Go to Analyze → Descriptive Statistics → Explore Move the variables you want to test for normality from the left hand box to the right hand...
Assumption #4: Samples do NOT need to be normally distributed.The Friedman test procedure in SPSS Statistics will not test any of the assumptions that are required for this test. In most cases, this is because the assumptions are a methodological or study design issue, and not what SPSS Stat...
We used Model 1 of the PROCESS macro to perform a moderation analysis in SPSS. The results, presented in Table 6 and Fig. 3a-c, indicate that brand love positively moderates the association of grievances and overload with betrayal and overload with hate. Thus, H7a, H7d, and H8d are ...
doctors, who play the role of leaders in teams and mainly take care of common diseases, provide consultation and referral services according to patients’ conditions, conduct interventions and follow-ups for patients with chronic diseases, perform home visit services for patients with special needs, ...
To assess the potential impact of outliers, one would first assess whether or not any observations meet the definition of an outlier—using either a boxplot or z-scores [16]. Second, one could perform a sensitivity analysis with and without the outliers. Examples: In a cost–utility analysis...
Youcouldtechnically perform a series of t-tests on your data. However, as the groups grow in number, you may end up with alotof pair comparisons that you need to run. ANOVA will give you a single number (thef-statistic) and one p-value to help yousupport or reject the null hypothesis...
Although the descriptive statistics seemed to indicate a trend in the predicted direction, these were too inconsistent, and no significant effects were present to claim that H2.1 and H2.2 were confirmed. It should be noted that this trend indicated that females were harsher evaluators of both ...