Week 3 Flashcards

1
Q

What are the main steps in the research process?

A

Developing a research question, conducting a literature review, identifying variables, selecting a research design, and testing a hypothesis.

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2
Q

What makes a good research question?

A

It should be focused, relevant, and realistic.

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3
Q

Why is a literature review important?

A

It helps assess the validity, generalizability, and relevance of previous research and identifies gaps to explore.

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4
Q

What is an independent variable (IV)?

A

The variable manipulated by the researcher.

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5
Q

What is a dependent variable (DV)?

A

The outcome measured, which may change based on the IV.

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6
Q

What are confounding variables?

A

Variables related to both the IV and DV, which can obscure the true relationship between them.

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7
Q

What are extraneous variables?

A

Uncontrolled factors that can affect the DV, such as participant characteristics or environmental factors.

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8
Q

What is non-experimental (correlational) research?

A

Research that observes relationships without manipulating variables; cannot determine cause and effect.

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9
Q

What is a true experimental design?

A

A design where the researcher controls variables, randomly assigns participants, and may include a control group.

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10
Q

What is a within-subjects design?

A

A design where each participant experiences both the control and experimental conditions.

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11
Q

What is a between-subjects design?

A

A design where different groups are assigned to control or experimental conditions, often with random assignment.

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12
Q

What is a quasi-experimental design?

A

: A study resembling an experiment but lacks full control over participant assignment, limiting causal conclusions.

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13
Q

What is an alternative hypothesis (H1)?

A

A testable statement predicting a specific relationship or effect between variables.

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14
Q

What is a null hypothesis (H0)?

A

The assumption that there is no effect or relationship between variables.

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15
Q

What is a one-tailed hypothesis?

A

A hypothesis that specifies the direction of the expected effect.

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16
Q

What is a two-tailed hypothesis?

A

A hypothesis that predicts a difference but does not specify the direction.

17
Q

When are parametric tests used?

A

For interval or ratio data with normal distribution; they are more powerful when assumptions are met.

18
Q

When are non-parametric tests used?

A

For nominal or ordinal data with no distribution assumptions; they are less powerful with small sample sizes.

19
Q

What is the purpose of hypothesis testing?

A

To evaluate the likelihood that the observed effects support the hypothesis, often using statistical tests.