Research Design Flashcards

1
Q

Independent Variables

A

The variable that is manipulated by the researcher

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2
Q

Dependent Variables

A

The variable that is measured by the researcher to determine if the independent variable has an effect

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3
Q

Extraneous Variables

A

Variables that are uncontrollable

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4
Q

Random Assignment

A

Providing independent variables randomly to the sample so that groups differentiate

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5
Q

Random Selection

A

Random selection of the population so that there is no grouping within the sample

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6
Q

Counterbalancing

A

a technique used to deal with order effects when using a repeated measures design. With counterbalancing, the participant sample is divided in half, with one half completing the two conditions in one order and the other half completing the conditions in the reverse order.

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7
Q

Mundane realism

A

The degree to which an experimental setting, procedure, or task resembles real-life situations, experiences, or bx.

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8
Q

Experimental Realism

A

Refers to the extent to which participants in an experiment become psychologically involved or engaged in the experimental task, procedure, or simulation

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9
Q

Threats to internal validity

A

Variables that can impact the study based on the sample, population, or independent variables

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10
Q

Threats to external validity

A

Variables that effect the scientific study outside the context of the study

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11
Q

Factorial Design

A

An experimental design manipulating multiple independent variables simultaneously to examine their effects

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12
Q

Demand Characteristics

A

Cues in an experiment revealing the researcher’s hypotheses or influencing participants’ behavior

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13
Q

Latin Square

A

design used in experimental research to control for potential confounding effects of order or sequence in a study with multiple treatment conditions.

A matrix design ensuring each treatment appears equally often in each position in an experiment

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14
Q

Solomon Four Square

A

Experimental research design used to assess the effects of a treatment or intervention while controlling for potential confounding factors such as a pretest sensitization and interaction effects

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15
Q

Type I errors

A

False positive: rejecting the null hypothesis when it is true (assuming there is a difference, but it is actually due to error )

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16
Q

Type II errors

A

False negative: accepting a null hypothesis when you should have rejected it

17
Q

Quasi experimental design

A

Interventional study used to estimate the causal impact of an intervention on a target population WITHOUT random assignment (study on interventions for pregnant women, cannot assign pregnancy)

18
Q

Interval vs event sampling

A

Internal - observer records bx or events at predetermined intervals of time, regardless of whether a specific bx or event is occurring
Event - observer records bx or events only when they occur, regardless of the time interval

19
Q

Levels of the independent variable

A

specific conditions or values that the variable can take on during the experiment

20
Q

Content Analysis

A

systematically analyze and interpret the content of textual, visual, or audio-visual data. identifying, coding, and categorizing patterns or themes within the data to uncover underlying r/s

21
Q

Protocol analysis

A

Method used to study cognitive processes by analyzing individuals verbal reports or think-aloud protocols as they engage in a task or problem-solving activity

22
Q

Cluster sampling

A

select groups or clusters of individuals from a population, rather than selecting individuals directly

23
Q

How to increase internal validity

A

Random assignment, control group, standardization, blinding, counterbalancing