Which type of analysis combines the results of several similar ...

[MGLQZ]

Which type of analysis combines the results of several similar studies?
 
  1. An ANOVA is used to statistically combine the outcomes of several studies.
  2. A MANOVA is used to statistically combine the outcomes of several studies.
  3. A meta-analysis is used to statistically combine the outcomes of several studies.
  4. The use of parameters rather than statistics is needed when comparing the results of several studies at once.

Question 2

In what way is multiple regression an advanced statistical test that differs from the more common inferential statistics of t test and ANOVA?
 
  1. The only difference is that multiple regression is a more powerful test than either a t test or ANOVA.
  2. A multiple regression has multiple independent variables and one dependent or outcome variable.
  3. A multiple regression has one independent variable and multiple dependent or outcome variables.
  4. A multiple regression examines the difference between the mean scores of two or more groups on two or more dependent variables.

[Cheesycrackers]

Answer to Question 1

3
Rationale 1: The purpose of an ANOVA is to look at the effect of an independent variable on the dependent variable within one study.
Rationale 2: A MANOVA is similar to an ANOVA, but a MANOVA examines the difference between the mean scores of two or more groups on two or more dependent variables.
Rationale 3: This technique does combine the results of several studies at once. This allows for the correction of type II errors often seen in studies with smaller sample sizes.
Rationale 4: Statistics are used when comparing outcomes between and among samples.
Global Rationale:

Answer to Question 2

2
Rationale 1: Multiple regression looks at multiple factors at one time.
Rationale 2: The t test and ANOVA both have one independent and one dependent variable, although a t test can have two groups within the independent variable and ANOVA can be used to calculate the results of two or more groups (still one independent variablegroup) on one dependent variable.
Rationale 3: A multiple regression has multiple independent variables and one dependent or outcome variable.
Rationale 4: This is the definition of a multivariate analysis of variance or MANOVA.
Global Rationale: