__6210 Week 8 Assignment: How To Complete The Week 8 Assignment__

Review the Week 8 Course Materials

__Use__ the Afrobarometer (AB) dataset for this assignment.

Identify an independent variable (IV) and state its Level of Measurement. The IV __must__ be interval or ratio.

Identify a dependent variable (DV) and its Level of Measurement. The DV __must__ be interval or ratio.

Write * 2 *research questions: question 1 is for a Pearson correlation and question 2 is for a bivariate regression. Use these formats:

- What is the relationship between the IV (use the IV name) and the DV (use the DV name)?
- Does the IV predict the DV?

Write a null hypothesis for RQ 1 and a null hypothesis for RQ2. Use these formats:

- (HO1) There is no relationship between the IV and the DV.
- (HO2) The IV does not predict the DV.

Open the AB data set, select *Analyze*, select *Correlation*, select *Bivariate*, drag an interval or ratio DV into the *Variables* box, drag an interval or ratio IV into the *Variables* box, click Continue, click OK.

Review the Sig. value in the *Correlation* output and decide to reject or fail to reject HO1. If you reject the HO1:

*Report*the Pearson correlation, , and explain its meaning in terms of the direction of the relationship positive (direct) or negative (inverse).*Report*the strength (effect size) of the relationship. For a correlation the strength of the relationship is measured by the Coefficient of Determination = the Pearson correlation squared or

*[Very important note:* if you __fail to reject__ the null hypothesis, return to the data set and identify *2* new interval or ratio variables that are likely to be significantly related and run a new correlation.]

Since your Pearson correlation is significant, run a regression analysis to test HO2:

Select *Analyze*, select *Regression*, select *Linear, *drag the DV to the *Dependent* box, drag the IV to the *Independent(s)* box, click okay.

Examine the Sig. value in the ANOVA output and make a decision to reject or fail to reject HO2. If HO2 is rejected, write the regression equation. Here’s how:

Examine the Coefficients output and identify the *Constant* value under *Unstandardized Coefficients* in column *B* and the coefficient value directly below the *Constant* value. Write your regression equation in this format:

DV = *Constant* value + IV(coefficient value), but substitute the names of the IV and DV and the actual *Constant* value and coefficient value.

__6210 Week 8 Discussion How to Critique a Journal Article__

Note: This assignment is basically the same as the Week 7 Discussion, except it requires a research article that reports with a bivariate correlation analysis.

Warning: find an article that uses bivariate-that is __only__ 1 IV and __only__ 1 DV-correlation.

__Do not report on multiple regression, or multivariate analysis or logistic regression__

Hence:

- Select a quantitative article from a peer-reviewed journal that reports on research that uses a bivariate correlation analysis for statistical analysis.
- Write a critique:

State that the researchers used a bivariate correlational analysis and explain why or why not that choice is correct.

Explain why the researchers chose a bivariate correlational analysis. Do this by writing and examining the RQ, null hypothesis, IV and DV:

The RQ should address a *relationship between* the DV and the IV.

Both the IV and the DV must be continuous.

- Discuss the data display (datasets, charts, graphs, etc.): Hint; if the display requires a written explanation it should not be in the article.
- Discuss if the data
*stand alone*:

Review the results section for statements that reject or fail to reject the null hypothesis and/or state statistical significance has or has not been achieved.

If the statement(s) are supported by the statistics, then the data *‘stand alone.’ *If the statement(s) are not supported by the statistics then the data do not *‘stand alone.’*