Statistics - Hypothesis Testing Projects

MODULE FIVE Analysis of the Variances One-Way Factorial ANOVAs MODULE OVERVIEW Welcome to Module 5 everyone

MODULE FIVE
Analysis of the Variances
One-Way & Factorial ANOVAs

MODULE OVERVIEW
Welcome to Module 5 everyone - our final (full) module of the term - rounding out the first of your two courses in statistics here at TUI University ! In this final module we are going to be looking at a very cool - & relatively simplistic type of statistical analysis referred to as ANOVA - an acronym for an ANalyses Of the Variances.
What is ANOVA, you ask? Well, ANOVA is somewhat nothing more than an extension of doing a t-test. As with the t-test, we would do an ANOVA when we are interested in looking at differences between groups - with respect to a particular variable that is measured along a continuous scale. Unlike the t-test in which we are limited to only one IV consisting of only two options -e.g., "gender" (male / female), ANOVAs are used when we have an IV that consists of three or more groups - e.g., political affiliation (democrat, republican, independent, other). Furthermore, ANOVAs can involve more than one IV - which is when this type of statistical analyses becomes VERY cool! For example, we may be interested in whether or not annual salary earnings differ with respect to type of post secondary degree earned. We may also be interested in whether or not annual salary earnings differ with respect to degree earned - PENDING gender. We are then interested in the interaction effect between gender and college degree earned - hypothesizing that the effect of degree earned varies with respect to gender.
When we have simply one IV with three or more "levels" (i.e., the groups) we call this a one-way ANOVA. When we have two or more IVs with two or more groups - we refer to these as a factorial ANOVA. In this final full module, your case assignment will call for you to devise a research question and corresponding null hypothesis which entail both a one-way & a two-way factorial ANOVA. As with the previous modules, you will create a hypothetical data set corresponding to your hypothesis being tested, input this data set into SPSS, and analyze the data sets accordingly. You will then prepare an abbreviated write-up / report of the results of each analysis. Then, looking at this final segment of your SLP work: Similar to the previous module, you will be retrieving three different empirical research studies - each of which entail a type of ANOVA design and subsequent analyses. As with the previous segment of your SLP work, you will be preparing a synopsis of each study - focusing on the methodology and the results.
With this much said, once again, below are the particular objectives we are aiming to achieve as a result of your successful completion of this final module. ENJOY!

MODULE OBJECTIVES
The following learning objectives will be met upon your successful completion of this module:

Describe and give an example of the types of research questions / research hypotheses that entail both a one-way & a factorial ANOVA. (case, SLP)
Conduct a one-way and a factorial ANOVA via SPSS. (case)
Identify and interpret relevant statistics and parameters provided in SPSS output tables in accordance with research hypotheses tested. (case, SLP, and TD).