I have the SPSS document, How can I upload it here?

1- I'm working with SPSS program and need to run some tests. Can you help me to find the chi-square for "ease of task" (that is, it is a categorical Yes / No variable) and must write it in the following way (for example: "A chi-square looking at condition and whether participants got the anagram correct was significant, *χ*2(2) = 27.69, *p *< .001. Most of those in the easy anagram condition got the final anagram correct (87%) while few in the hard condition got it correct (16%). Those in the moderate condition performed in the middle (52% got it correct). Phi showed a large effect (.555). As the anagram difficulty increased, participant performance appeared to decline. This supports the likelihood that learned helplessness occurred.")

2- I need to find the the t-test for "ease of task" hard condition vs easy condition only. Here, we only have two means, so we can just look at them and see which one is higher and which is lower if our *t*- Test is significant). For example: Then just write it up....

- "Using condition as our independent variable (Easy vs. Hard) and ease of task as our dependent variable, we found a significant main effect for condition,
*t*(203) = 3.42,*p*< .05. Participants found the task less easy in the hard condition (*M*= 4.56,*SD*= 1.21) than in the easy condition (*M*= 1.23,*SD*= 0.77).

3- I have to find one way anova for frustration dependent variable. given this study has one IV with three levels and one DV that is on a continuous scale, the one-way ANOVA is the best test to use to see if there are significant differences among the three levels. We look first at the ANOVA table (or *F *table) and focus on the between subject factor. We note the degrees of freedom, the *F *value itself, and the p value.

If the *p *value is significant (less than .05), we have one more step to take. Since this is a three level IV, we need to compare mean A to mean B, mean A to mean C, and mean B to mean C. This can be done using a post hoc test (try using Tukey!). That will tell us which of the means differ significantly. For example: then write up the results ...

a. "Using condition as our independent variable (Hard vs. Moderate vs. Easy) and frustration as our dependent variable, we found a significant main effect for condition, *F*(2, 203) = 4.32, *p *< .05. Follow-up Tukey post hoc tests showed that participants were more frustrated in the hard condition (*M *= 4.56, *SD *= 1.21) than participants in the moderate condition (*M *= 3.24, *SD *= 0.89) or the easy condition (*M *= 1.23, *SD *= 0.77). Those in the moderate condition were more frustrated than those in the easy condition."

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