One-Factor/ Quasi-Experimental Designs

Question 1

What is a one-factor design?

Answer 1

A single factor (IV) with 2 or more levels
Can be independant / Repeated measures
Can be experimental / Quasi-Experimental

Question 2

When would you conduct a One-Way Independent Groups ANOVA?

Answer 2

1. Independent Groups
2. One Factor
3. One DV
4. No Covariate Present

Question 3

When would you conduct a One-Way Repeated Measures ANOVA

Answer 3

1. Repeated Measures
2. One Factor

Question 4

When would you conduct a One-Way Independent Groups MANOVA

Answer 4

1. Independent Groups
2. One Factor
3. Two or more Variables

Question 5

When would you conduct a One-Way Independent Groups ANCOVA?

Answer 5

1. Independent Groups
2. One Factor
3. One DV
4. Covariate Present

Question 6

When should post-hoc tests be conducted, using t-tests?

Answer 6

1. Any significant interaction present
2. More than 2 levels

Question 7

When should Simple Main Effects Analysis be conducted?

Answer 7

1. Any significant interaction present
2. More than one factor
3. Significant interaction found between one of these factors
   [If simple main anaysis = sig, further post-hoc tests may be needed]

Question 8

How is Bonferroni Correction used?

Answer 8

Divide 0.05 by num of post hoc tests to get new alpha value

Question 9

How are ANOVA results written up?

Answer 9

(F (DF1, DF2) = F RATIO, p = xx)

Question 10

How to report one-way ANOVA results?

Answer 10

1. A one-way ANOVA was conducted to explore …
2. ANOVA revealed (report results)
3. Post-hoc tests were required (bonferroni correction and new p-value)
4. These post-hoc tests revealed (results)
5. This suggested that …