Things to remember for poster presentation/ results section of paper

Use bullet points when possible particularly: bullet point your hypothesis, the participants, design,

materials and procedure In the results:

state what your dependent variable was what test you used to test your hypothesis

“We ran an independent samples t-test to to test whether or not…”

“We ran a one-way ANOVA to test…” Report the test statistic in APA style

t(degrees of freedom) = t test statistic, p= significance level t(92) = -.66, p = .25

Degrees of freedom= df

T-statistic

Significance

Reading SPSS output- independent samples t-test

t(92) = -6.94, p < .001 t and p should be in italicsUse means to discuss how the two groups were different, and to put in a table or figure

Reading SPSS output-ANOVA

F(2,91) = 2.205, p = .12F and p should be in italicsUse means to discuss how the groups were different, and to put in a table or figure

After reporting the significance, state whether your hypothesis was supported or not If your results show that p is less than .05, then it is statistically significant

Look at the means to decide if the results support your hypothesis Was the difference you predicted represented in the results?

The means might not support your hypothesis but the result might still be significant

State that your hypothesis was not supported but that you did find a significant result in the opposite direction

If your results show that p is greater than .05, then it is not statistically significant so you fail to reject the null hypothesis

Still report what the overall trend was between the groups Example: There was no significant result, but the data show a trend that

participants who listened to distracting noise remembered less words compared to those who did not listen to anything.

Reporting in APA Style (For GP paper) Example for SPSS output slide:

An independent samples t-test revealed that regular coffee drinkers (M = 74.58, SD = 2.85, N

= 40) had significantly higher baseline heart rate scores compared to non-coffee drinkers (M =

70.81, SD = 2.40, N = 54), t(92) = -6.94, p < .001. Example of a significant one-way ANOVA:

There was a significant effect of condition on the statistics quiz scores, F(3,90) = 7.88, p

<.001, such that scores in the easy condition were higher compared to scores in the moderate,

difficult and impossible conditions.

Example of a significant two-way ANOVA (will help if you had trouble on the class experiment paper):

A two-way ANOVA revealed a main effect of subject of interaction on likelihood of social

interaction, F(1, 90) = 8.47, p = .005. The likelihood of a social interaction was higher

when you see your ex compared to when you see your boss. There was also a main effect

of the alcohol consumption on likelihood of social interaction, F(1, 90) = 40.83, p < .001.

The likelihood of a social interaction was higher when intoxicated compared to sober. The

interaction between subject of interaction and alcohol consumption was also significant,

F(1, 90) = .01, p = .04. When intoxicated, individuals are more likely to interact with their

ex compared to when they are sober. However, individuals are more likely to interact with

their boss when they are sober compared to when they are intoxicated.

APA style table and figure

Table 1 and description go about the table, description is in italics

Figure 1 and description go below the figure, figure 1 is in italics

No title, remove grid lines