Testing, Testing...
Parametric or Nah?
General Statistics
Quantitative Designs
More Ethics!
200

This is the key difference between a t-test and an ANOVA.

What are the number of groups of independent variables?

200

This type of test requires that data meet the following assumptions: variable must be normally distributed, interval or ratio scale of measurement, selection of participants is independent, and variance of the comparison groups is equal.

What is a parametric test?

200

The conclusion reached when a researcher rejects the null hypothesis.

What is that there is no real differences between groups?

200

This type of research involves collecting data to test hypotheses or to answer questions about people's opinions on some problem or issue.

What is survey research?

200

Because researchers doing this type of research interact much more often and intimately than other researchers, there are added ethical concerns.

What are qualitative researchers?

400

This test of statistical significance determines if two groups' means differ more than would be expected by chance.

What is a t-test?

400

This is the first decision to be made in the selection of an appropriate test of significance.

What is determining if a parametric or non-parametric test is required?

400

This category of statistical analysis is primarily concerned with making generalizations about the population from significant findings about the sample.

What is inferential statistics?

400

This type of research involves collecting data to determine whether and to what degree a relationship exists between two or more quantifiable variables.

What is correlational research?

400

This is the point in a study at which a participant can withdraw.

What is any time?

600

This analysis is used when comparing the means of multiple groups of IVs with one continuous dependent variable.

What is ANOVA?

600

A non-parametric test should be used for this type of data. 

What is nominal?

600
This error occurs when the researcher concludes that there are significant differences between groups when, in reality, there are no actual differences between groups.

What is a Type 1 Error?

600

This statistic indicates the size and direction of the relationship between two variables.

What is a correlation coefficient?

600

The ethical principle concerned with honoring commitments and keeping promises including fulfilling one’s responsibilities of trust in professional relationships

What is Fidelity?

800

This analysis us utilized to control the effect of extraneous covariates when comparing means.

What is MANCOVA?

800

This analysis is NOT a parametric statistic/analysis.

What is chi-square?

800

When a researcher is concerned about committing a Type 1 Error, they should use this significance level to reject or accept the hypothesis.

What is .001?

800

In this type of research, the researcher attempts to determine the cause or reason for existing differences in the behavior or status of groups or individuals.

What is causal-comparative research?

800

Researchers must weigh the _____ against the _____ to participants to minimize potential harmful effects on participants.

What are the risks and benefits?

1000

This analysis is used when comparing means between 2 or more continuous independent variables and 1 continuous dependent variable.

What is multiple regression?

1000

These types of analysis are fairly robust.

What are parametric analyses?

1000

The type of error that occurs when a researcher concludes there were no differences between groups when, in fact, there are differences between groups.

What is a Type II Error?

1000

This type of study is used to determine which variables are the most highly related to the criterion variable.

What is a prediction study?

1000

The number of ethical codes in the AERA Code of Ethics.

What is 22?