Test
Lecture: Correlational Designs
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Preguntas del test (14)
1You can claim causality with a correlation
- AVerdadero
- BFalso
2What does co-vary mean?
- AAs one goes up, the other goes down
- BHow much variation is there between measures
- CThe correlations fit well together
3There is no manipulation in correlational designs
- AVerdadero
- BFalso
4A [blank_start]higher[blank_end] score means there is more co-variation
- Ahigher
- Blower
5If there was no relationship, the positive and negative numbers would be [blank_start]around the same[blank_end]
- Aaround the same
- Bcompletely different
- Cat zero
6To work out the covariance score, it would be (x score-mean x score)+(y score-mean y score) / N-1
- AVerdadero
- BFalso
7If a variable had a high S.D score, we would
- Ahave no idea how to compare co-variation scores
- Bstill be able to compare co-variation scores
8To work out a correlation score, it would be S.D/covariation score
- AVerdadero
- BFalso
9If the score is above 1, the more people there is in the [blank_start]positive[blank_end] cells. If the score is below 1, the more people there is in the [blank_start]negative[blank_end] cells. The closer to 1, the closer the co-variation reaches its maximum.
- Apositive
- Bnegative
- Cnegative
- Dpositive
10R=0 is a perfect correlation
- AVerdadero
- BFalso
11An r score tells us: (2)
- AThe strength of a relationship
- BThe direction of a relationship
- CThe causation of a relationship
- DThe level of manipulation
- EThe mean score from a correlation
12r[blank_start]=1[blank_end] is a perfect positive relationship
r[blank_start]=0.8[blank_end] is a very large positive relationship
r[blank_start]=0.5[blank_end] is a large positive relationship
r[blank_start]=0.3[blank_end] is a medium positive relationship
r[blank_start]=0.1[blank_end] is a small positive relationship
r[blank_start]=0[blank_end] is no relationship
r[blank_start]=-0.1[blank_end] is a small negative relationship
r[blank_start]=-0.3[blank_end] is a medium negative relationship
r[blank_start]=-0.5[blank_end] is a large negative relationship
r[blank_start]=-0.8[blank_end] is a very large negative relationship
r[blank_start]=-1[blank_end] is a perfect negative relationship- A=1
- B=0.8
- C=0.5
- D=0.3
- E=0.1
- F=0
- G=-0.1
- H=-0.3
- I=-0.5
- J=-0.8
- K=-1
13Effect sizes are not influenced by sample size
- AVerdadero
- BFalso
14The assumptions or r are: (3)
- ANormal distributions of variables
- BIndependence of observations
- CInterval/ratio/ordinal (with at least 7 categories) measurement
- DMeasurements have multicollinearity
- EVariables have similar means
Información
- Descripción
- Test sobre Lecture: Correlational Designs, creado por Eleanor Madden el 17/12/2016.
- Autor
- Eleanor Madden
- Idioma
- English
- Visitas
- 8
- Valoración
- Aún sin valoraciones Valora este test