Activity 6.5 Instructions Document
6.5 SPSS Activity: Calculating and Interpreting Results for a One-Way Between-Subjects ANOVA.
Activity description/instructions:
Problem Na
ative 6.5:
Background on planned research: A major government contractor wants to find out what type of control
interface will work best for a new unmanned vehicle cu
ently being developed for the U.S. Army. The
typical control interfaces that are available are 1) handheld video game/joystick controller, 2) Smart
phone/tablet controller, 3) integrated desktop joystick/keyboard/mouse controller, or 4) augmented reality
gesture-based controller. The researcher has done a literature search for this type of research and would
like to calculate the sample size needed. The major government contractor in the previous problem just
an a power analysis using G*Power to calculate the proper sample size given a specific set of parameters
outlining effect size, alpha level, desired power, and number of groups. The power analysis revealed that
a total sample size of 76 participants were needed (19 per condition).
The procedure will involve each participant being exposed to only one type of controller. The participant
will be provided the randomly assigned controller and asked to run through a scenario where they will
have to control a computer-generated unmanned vehicle and proceed to a number of predetermined
waypoints. A "control score" will be generated by the computer based on how closely the operator can
maintain altitude, heading, and speed using the assigned controller. "Control scores" will range from 0 -
100, with lower numbers indicating less deviation from the prescribed parameters (altitude, heading, and
speed) and better overall performance during the scenario. The researchers believe they will find that one
controller will allow participants to perform better on their “control score” but do not know which
controller will allow participants to perform better or which controller will allow participants to perform
worse.
Download the Excel spreadsheet “6.5 Controller Type Data” and import the spreadsheet into SPSS for
subsequent analyses
Part I: Import Data into SPSS:
Use the spreadsheet you just downloaded “6.5 Controller Type Data” and import the data in this
spreadsheet into SPSS for subsequent analyses. Name your SPSS datafile “6.5 SPSS Controller Type
Dataset” with the “.sav” extension. Your SPSS datafile 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 “6.5 SPSS Exercise – Short Answer Questions”. Save this for subsequent
upload as one of your deliverables for this exercise.
Answer the following based on the na
ative 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 6.5 Controller Type 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 a LSD Post Hoc Analysis. When running the GLM Univariate ANOVA, make sure
you include a means plot, a LSD Post Hoc Analysis, display means for overall and your display type
variable, and make sure you check off the boxes for compare 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 Controller 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 “6.5 SPSS Controller Type One Way ANOVA Output” as an “.spv” file to upload as
deliverable at the conclusion of this exercise. Save the GLM ANOVA output as “6.5 SPSS Controller
Type 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 “6.5 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 “6.5 SPSS Controller Type Dataset”.
2. The IBM SPSS viewer file “6.5 SPSS Controller Type One Way ANOVA Output”.
3. The IBM SPSS viewer file “6.5 SPSS Controller Type GLM ANOVA Output”.
4. The Short Answer document “6.5 SPSS Exercise – Short Answer Questions”.
5. The APA formatted results write up “6.5 SPSS Results Write Up”.
Upload all five of these files as your submission for this exercise to be considered for full credit.