6.3 SPSS Exercise: Calculating and Interpreting Results for a One-Way Between-Subjects ANOVA

Activity 6.3 Instructions Document

6.3 SPSS Activity: Calculating and Interpreting Results for a One-Way Between-Subjects ANOVA.

Activity description/instructions:

Problem Narrative 6.3:

A researcher at Eagle Research, Inc. wants to test some different designs for fuel displays that show the

amount of available fuel remaining in each of two fuel tanks onboard an aircraft. The designs are analog,

digital, and virtual. After reviewing the relevant literature on the subject of displays and display design,

the researcher believes that the new virtual display will allow participants to read the fuel level faster than

if they used either the analog or digital displays. The researcher decides that the time it takes to read the

fuel display accurately is an important dependent variable to measure and decides to run participants

through a series of trials to obtain a mean "time-to-read" for each type of fuel display. The researcher

decides that 10 participants per condition for a total of 30 participants will suffice. Each individual will be

allowed to view the display they are randomly assigned and will be asked to read and record the amount

of fuel displayed on their assigned fuel display. This will be repeated 20 times for each participant. The

data they record will be the fuel level as read off the fuel display. "Time-to-read" will be automatically

recorded by the computer once they record the fuel level and hit "enter". Once "enter" is hit, the next fuel

level will be displayed, and the timer will start over at zero. This data will be used to obtain a mean "time-

to-read" score for each participant. Each participant will be exposed to one type of fuel display only.

Download the Excel spreadsheet “6.3 Fuel Display Data” and import the spreadsheet into SPSS for

subsequent analyses

Part I: Import Data into SPSS:

Use the spreadsheet you just downloaded “6.3 Fuel Display Data” and import the data in this

spreadsheet into SPSS for subsequent analyses. Name your SPSS data file “6.3 SPSS Fuel Display

Dataset” with the “.sav” extension. Your SPSS data file should be ready to use for analysis.

Part II: Short Answer Questions:

Create an MSWord document to answer the short answer questions from part II and III of this exercise.

The name of the file will be “6.3 SPSS Exercise – Short Answer Questions”. Save this for subsequent

upload as one of your deliverables for this exercise.

Answer the following based on the narrative and data provided:

1. What kind of ANOVA will need to be performed (i.e., One-way Between-Subjects or One-way

Within-Subjects)? In other words, are participants exposed to one level of the independent

variable? Or, are participants exposed to all levels of the independent variable?

2. What are the dependent and independent variables in this scenario?

3. How many levels of the independent variable are there? Name/list them?

4. Calculate degrees of freedom (dfBG and dfE).

5. What is the hypothesis?

6. Look up the F critical value in Table C.3, Appendix C in the text book at the p<.05 level.

Part III: Running the Appropriate Analysis in SPSS:

Using the 6.3 Fuel Display Dataset you created previously in this exercise, run the appropriate

ANOVA (F test) in SPSS (run both a One-Way ANOVA and a GLM Univariate - both will produce

the same F calculation). When running the One-Way ANOVA, make sure you include a means plot,

descriptives, and an LSD Post Hoc Analysis. When running the GLM Univariate ANOVA, make

sure you include a means plot, an LSD Post Hoc Analysis, display means for overall and your display

type variable, and make sure you check off the boxes for comparing main effects, descriptive

statistics, estimates of effect size, and observed power.

Add the following to your list of short answer questions as information obtained from your SPSS output

file.

1. What are your numerical results? Make sure to report your results in proper APA format (i.e.

F(dfBG, dfE) = Fcalc, p= x.xx).

2. What is your calculated F statistic as calculated by SPSS? Is it different from your F critical

value you looked up in Table C.3? If it is different, what does this mean?

3. Is there a significant difference between the means of the three fuel display types?

Since you ran two ANOVAs using the data imported into SPSS, you will have two SPSS output files, one

for the One Way ANOVA, and one for the GLM ANOVA. Save the SPSS output files you just generated

when running the analysis on your data separately as two separate files. Name the One Way ANOVA

output as “6.3 SPSS Fuel Display One Way ANOVA Output” as an “.spv” file to upload as deliverable

at the conclusion of this exercise. Save the GLM ANOVA output as “6.3 SPSS Fuel Display GLM

ANOVA Output” as an “.spv” file to upload as a deliverable at the conclusion of this exercise.

Part IV: Results Write Up:

Write up the results of your data analysis in standard APA format being sure to mention all relevant

variables and findings in your write up. Make sure your format adheres to APA format and guidelines.

Save the document as “6.3 SPSS Results Write Up”.

(If you have questions about what a complete results write up for an ANOVA looks like, either look up

conference and journal articles that use t-tests as their statistical analysis, or contact your instructor for

specific guidance.)

Your deliverables for this SPSS exercise will be:

1. The IBM SPSS data file “6.3 SPSS Fuel Display Dataset”.

2. The IBM SPSS viewer file “6.3 SPSS Fuel Display One Way ANOVA Output”.

3. The IBM SPSS viewer file “6.3 SPSS Fuel Display GLM ANOVA Output”.

4. 4. The Short Answer document “6.3 SPSS Exercise – Short Answer Questions”.

5. The APA formatted results write up “6.3 SPSS Results Write Up”.

Upload all five of these files as your submission for this exercise to be considered for full credit.