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Basic research terms
Factorial Design
Between subjects Designs
Chapters 1-4
100

What is a dependent variable?

What is the variable that is influenced by the independent variable; occurs after the IV. 

The outcome measure in a study. 

100
A _________is an independent variable.
A factor
100

________is a statistical estimate of the size or magnitude of a treatment effect.

Effect Size

100

Researchers repeat published studies to confirm the results in the process known as_________

Replication

200

Name the four (4) scales of measurement

Nominal, Ordinal, Interval, Ratio

200

A ___________ is an interaction among three or more IVs.

higher-order interaction

200

A between-subjects design where there is one IV with three levels and subjects are randomly assigned to one of the three conditions. Be specific.

Multiple Independent Groups Design

200

Participants agree to participate in a study after receiving information about the nature, risks, benefits, and purpose of the study. This is called:

Informed Consent

300

Eye color, gender, ethnicity, are examples of this scale of measurement

What are categorical/nominal variables.

300

Dr.Warren is conducting a factorial ANOVA. She has the following Factor Notation: 4X2X3. How many IVs does she have? How many total groups are there?

3 IVs, 24 groups total

300

Why do we use the matching technique/method?

To control for the effect of known extraneous variables.

300

Name three (3) characteristics of a good hypothesis.

Testable

Falsifiable

Accurate

Parsimonious

400
Name and describe three (3) types of reliability.
1.)Interrater reliability is the degree to which observers agree in their measurement ?of the behavior. 2.) Test-retest reliability means the degree to which a person's scores are consistent across two or more administrations of a measurement procedure. 3.) Inter-item reliability measures the degree to which different parts of an instrument (questionnaire or test) that are designed to measure the same variable achieve consistent results.
400

What is a post hoc test and why is it used?

ANOVA test tells you whether you have an overall difference between your groups, but it does not tell you which specific groups differed - post Hoc tests do. Post Hoc tests indicate which group means are statistically significantly different from one another.

400

Emily would like to conduct a Factorial Anova In SPSS but is unsure how to do so. Briefly explain to her. She needs to click.Analyze->__________, then _________->

Analyze-> General linear model-> Univariate.

400

Data are empirical when they are_____, _____, and  _____


observable or experienced, and verifiable through investigation.


500

**Daily Double**

H1: Participants in the therapy treatment condition will report lower mean Bipolar I Disorder scores than those in the control condition. 

1.) What are the independent and dependent variables? 

2.) What scale of measurement is the DV? 

3.) What statistical analysis should be conducted?

1.) IV- Treatment condition/group DV- Bipolar I Disorder test scores. 2.) Interval/Ratio 3.) Independent- samples T-test

500

 Dr. Brantley would like to assess the effect of meditation (weekly vs daily) and exercise (1x week, 3x week, 5x week) on depression scores among a sample of 300 young adults.

She random assignments participants to the above conditions. 

1.) What type of design is she using? 2.) What type of data analysis would she use to answer the research question?
 


1.) Factorial Design 2.) Factorial Anova

500

You receive the following results from a t-test: Test value=4 

t=5.87

df=599 

sig=.021

Report this in apa style.(I.e t and p value) Is this test significant?

t(600)= 5.87, p< .05. Yes, it is significant

500

Name three (3) reason why Zimbardo's Stanford prison experiment was unethical


Violated Respect for persons, Beneficence, etc.

Harmed participants

Violated confidentiality