PLEASE HELP ME!

Read the problem set information and data below, then complete steps 1 and 2 using SPSS. From your output, use Microsoft Excel to complete step 3. Use your SPSS Output and Excel Graph to complete step 4. Paste the required information in the spaces indicated in this document for steps 1, 2, and 3. Complete the template paragraph as indicated in step 4. Be sure to use your values and labels as discussed in your learning materials.

Problem Set

A researcher is interested in the effects of word valence (positive, negative) and mood (good, bad) on memory. Participants (n = 12) were randomly selected at a public library that agreed to participate in a study about memory. Each participant was exposed to only one level of word valence and one level of mood.

Participants were given a list of "50 words"that either had positive valence (i.e., excited, surprised, calm) or negative valence (i.e., sad, angry, scared). Participants were instructed to study the list of words for 10 minutes to learn as many as they could.

Then participants were shown either pictures that put the participant in a good mood or pictures that put the participant in a bad mood. The pictures (good or bad) are meant to evoke a good mood or bad mood in the participant.

After studying the word list and viewing the pictures, the participants were asked to write down the words they remembered from the list they studied. The percentage of words remembered by each participant was recorded.

Participant#	Positive Words Good Mood	Participant#	Positive Words Bad Mood	Participant#	Negative Words Bad Mood	Participant#	Negative Words Good Mood
1	80	13	25	25	75	37	60
2	85	14	40	26	95	38	20
3	60	15	10	27	75	39	20
4	75	16	30	28	95	40	75
5	55	17	10	29	95	41	15
6	85	18	10	30	85	42	10
7	80	19	30	31	85	43	10
8	75	20	40	32	65	44	60
9	55	21	40	33	95	45	10
10	90	22	35	34	90	46	10
11	90	23	35	35	80	47	55
12	85	24	25	36	90	48	15

Step 1: SPSS Data and Variable View

Enter the data into SPSS in Data view.

Complete the following five tasks in Variable view:

Name the variables.

Set the number of decimal places to match the data.

Label the variables.

Enter values IF it is a categorical variable.

Set the measure.

Snip/export both Data View and Variable View from SPSS.

Paste Data View here:

Paste Variable View here:

Step 2: SPSS Output

Run a two-way between-subjects factorial ANOVA.

Include all options used in the example video.

NOTE: Depending on the version of SPSS you are using, some of the required boxes to check shown in the videos will be under different tabs than the video shows. All the options are there, but SPSS moves them around a bit, depending on your downloaded version.

For the EM Means option, select Display Means For: (Overall) and the Factor Name

Use a two-tailed test (SPSS default) with a 0.05 alpha level.

Run simple main effects only if necessary, based on the output.

Use a two-tailed test (SPSS default) with a 0.05 alpha level for each data set.

TIP: Make sure you have the same tables in the output that are shown in the video. If you do not, then you missed something.

Snip/export the output from SPSS.

Paste the output here:

Step 3: SPSS Line Graph

In Microsoft Excel, "create a" line graph based on the research scenario. Do not use SPSS graph.

Include the following settings:

Y-axis starts at 0.

Title both the X & Y-axis based on the scenario.

Title both levels of the IV on the X-axis based on the scenario.

Include error bars.

Do not include a title above the graph.

Legend included with titles for both levels of the second IV based on the scenario.

Snip/export the graph from Excel.

Paste the graph here:

Step 4: Results

Fill in the blanks and replace any guiding information on the write-up paragraph. As you "complete your"selected paragraph, be sure to follow these guidelines:

n and degrees of freedom (df between and df within) are reported as whole numbers.

F, partial ², M, and SD are rounded and reported to two decimal places.

p is reported to three decimal places.

Only exception: when SPSS reads p = ".000"

Then, you should type p < .001

Indicate levels where noted for the variable or categories. For example, if IVA was Sex then the levels are Male/Female; Therapy (Individual/Group); Time (Before/After).

To simplify the notation of the two-way ANOVA, we label the factors alphabetically (e.g., A x B ANOVA), then refer to the levels of each factor in the design (e.g., 3 x 2 ANOVA).

Significance

If not significant, do not include phrasing after the effect size.

If significant, which at least your interaction will be, include the phrasing making sure to use appropriate means and standard deviations.

Each of the three phrases will use different M & SD.

For the main effect, you are stating which of the two levels of IV recalled higher % including M & SD of each.

For interaction, you are stating all four groups in comparison to the others include M & SD for each group.

NOTE: Nothing should be underlined in your write ups. The underlining in the template paragraphs represent blank places that should be filled in with information.

A IVA notation x IVB notation between-subjects analysis of variance was conducted to assess the influence of IVA and IVB on DV. The main effect for IVA (was/was not) significant F(df effect , df within) = _____ , p = _____, partial eta-squared =_____, indicating the difference between IVA level 1 (M = _____, SD = _______), and IVA level 2 (M = ______, SD = ______) differed with IVA level 1 being higher, faster, etc. than IVA level 2. ONLY DESCRIBE THESE DIFFERENCES IF SIGNIFICANT - IF NOT SIGNIFICANT, DO NOT DESCRIBE. The main effect for IVB (was/was not) significant F(df effect , df within) = _____ , p = _____, partial eta-squared =_____, indicating the difference between IVB level 1 (M = _____, SD = _______), and IVB level 2 (M = ______, SD = ______) differed with IVB level 1 being higher, faster, etc. than IVB level 2. ONLY DESCRIBE THESE DIFFERENCES IF SIGNIFICANT - IF NOT SIGNIFICANT, DO NOT DESCRIBE. The interaction was significant, F(df effect , df within) = _______, p =_____, partial eta-squared =_____.

IF YOUR INTERACTION IS SIGNIFICANT INCLUDE THE REST OF THIS TEMPLATE. IF IT IS NON-SIGNIFICANT, DO NOT INCLUDE THE REST OF THIS TEMPLATE. IF YOUR INTERACTION IS SIGNIFICANT, AT LEAST ONE SIMPLE MAIN EFFECT WILL BE SIGNIFICANT. Simple main effects analysis showed that IVA level 1 name participants that were IVB level 1 name rated/scored/remembered ______ points (THAT VALUE IS IN THE MEAN DIFFERENCE COLUMN) higher/lower than the IVB level 2 name (p = _______, CI of the difference = _____ to ______). (VALUES FOR ___ ARE THE 95% CONFIDENCE INTERVALS). IF YOUR SECOND SIMPLE MAIN EFFECT IS SIGNIFICANT THEN YOUR NEXT SENTENCE IS THE FOLLOWING. Simple main effects analysis showed that IVA level 2 name participants that were IVB level 1 name rated/scored/remembered _____ points (THAT VALUE IS IN THE MEAN DIFFERENCE COLUMN) higher/lower than the IVB level 2 name (p = _____, CI of the difference = _____ to _____). (VALUES FOR ____ ARE THE 95% CONFIDENCE INTERVALS). IF YOUR SECOND SIMPLE MAIN EFFECT IS NON-SIGNIFICANT YOUR NEXT SENTENCE IS THE FOLLOWING. In contrast, scores of IVB level 1 name and IVB level 2 name did not significantly differ for the level of IVA (p = _____). THAT PERTAINS TO THE NON-SIGNIFICANT RESULT FOR THE 2 LEVELS OF IVB IN THE PAIRWISE COMPARISON TABLE.