Statistics Requires SPSS Exploratory Data Analysis Project Part A. SPSS Assignment
“Activity 9.sav” file contains a dataset of a researcher interested in
finding the best way to educate elementary age children in mathematics.
In particular, she thinks that 5th grade girls do better in small class
sizes while boys excel in larger classes. Through the school district,
she has arranged a pilot program in which some classroom sizes are
reduced prior to the state-wide mathematics competency assessment. In
the dataset, you will find the following variables:
Participant: unique identifier
Gender: Male (M) or Female (F)
Small (1) – no more than 10 children
Medium (2) – between 11 and 19 children
Large (3) – 20 or more students
Score – final score on the statewide competency assessment.
Now do the following:
Exploratory Data Analysis.
Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.
Give a one to two paragraph write up of the data once you have done this.
Create an APA style table that presents descriptive statistics for the sample.
Factorial ANOVA. Perform a factorial ANOVA using the “Activity 9.sav” data set.
Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.
Is there support for the researcher’s hypothesis that girls would do better than boys in classrooms with fewer students? Explain your answer.
Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.
Part B. Applying Analytical Strategies to an Area of Research Interest
Briefly restate your research area of interest. (Provided in files for area of interest
Analysis of Covariance. Using your area of interest, identify one independent and two dependent variables, such that the dependent variables would likely be covariates. Now, assume you conducted an ANCOVA that shows both the first independent variable as well as the covariate significantly predicts the dependent variable. Create a mock ANCOVA output table (see SPSS Output 12.6 in your text for an example) that supports the relationship shown above. Report your mock finding APA style.
You should now have the following file:
lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc) Research area of interest
My area of interest is in serial killers. There are multiple areas that I would like to look
into ranging from killing being an actual addiction, such as smoking cigarettes is an
addiction, to is the prison system actually trying to rehabilitate these killers that are in a
class of their own, and while they will never get out, unless something extreme happens,
they still deserve rehabilitation but I am more interested in if the serial killer’s personal
opinion is that they are or are not being rehabilitated.
Originally set-up to reflect possible variables to be assessed…
Nominal: male or female
Ordinal: Serial killer’s urge to kill on a scale of 1-5
Interval: The # of documented kills attributed to the serial killer as assigned by law
Ratio: Actual # of kills the serial killer has committed, or that they are willing to admit to
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