M1: Research Techniques & Relational Approach Flashcards

1
Q

TRUE OR FALSE

The purpose of experimental design is to maximize extraneous or uncontrolled variation, thereby increasing the likelihood that an experiment will produce valid, consistent results.

A

FALSE; to minimize

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2
Q

TRUE OR FALSE

The between-subjects (two groups) design is conservative.

A

TRUE

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3
Q

It calls for you to **divide participants by halves **

A

Between Subject Design

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4
Q

TRUE OR FALSE

In any between-subjects design, the experimenter must try to minimize differences among the subjects in the two or more treatment groups.

A

TRUE

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5
Q

TRUE OR FALSE

Within Subject Design is more efficient, since each subject is compared with himself or herself.

A

TRUE

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5
Q

It has all thirty subjects learning with both levels of the independent variable

A

Within Subject Design

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6
Q

The effect of the early part of the experiment on the later part of the experiment varies depending on which treatment comes first.

A

Differential Carryover Effects

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7
Q

TRUE OR FALSE

The effect of the first treatment on the second treatment differs depending on which treatment came first.

A

TRUE

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8
Q

Types of Carryover Effects

Participants perform better during later treatment conditions because they’ve had time to practice and improve.

A

Practice Effect

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9
Q

Types of Carryover Effects

Participants perform worse during later treatment conditions because they’re tired or fatigued from previous treatment conditions.

A

Fatigue Effect

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10
Q

Can be controlled largely through counterbalancing, the experimenter determines the order in which treatments should be given to subjects.

A

General Practice Effects

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11
Q

TRUE OR FALSE

Small n-Designs is rare in psychophysical, clinical, and operant-conditioning research.

A

FALSE; it is common

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11
Q

TRUE OR FALSE

Counterbalancing eliminates the effects of order.

A

FALSE; it does not eliminate

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12
Q

It present the levels of the independent variable or treatments to a small number of subjects or a single subject

A

Small-n Designs

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13
Q

It is not as efficient or economical as a pure-within subjects’ design, but it is often safer.

A

Mixed Design

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14
Q

TRUE OR FALSE

Experiments need not be exclusively of within-subjects or between-subjects design.

A

TRUE

15
Q

TRUE OR FALSE

Independent variables must be varied (or manipulated) by the experimenter.

A

TRUE

16
Q

This implies that each independent variable must vary either in amount (quantitative variation) or in kind (qualitative variation) within the experiment.

A

Control Conditions

16
Q

TRUE OR FALSE

The important characteristic of a control condition is the fact that it does not provide a baseline against which some variable of interest can be compared.

A

FALSE; it provides a baseline

17
Q

TRUE OR FALSE:

Mixed design is used, in which some variable is imposed between subjects to see its effect across a second, within-subjects variable.

A

TRUE

18
Q

The data that are related come from naturally occurring events and do not result from direct manipulation by the researcher.

A

Ex Post Facto Data

19
Q

Attempts to determine how two or more variables are related to each other.

A

Relational Approach

19
Q

Something that can be measured or manipulated.

A

Variable

20
Q

Data on two variables are compared to see whether the values of one variable depend on the values of the other.

A

Contingency Research

21
Q

A tabular presentation of all combinations of categories of two variables, which allows the relationships between the two to be examined.

A

Contingency Table

22
Q

Allows the researcher to determine simultaneously the degree and direction of a relationship with a single statistic.

A

Correlational Research

23
Q

Measures the degree and direction of the relationship between two variables

A

Correlation Coefficient

24
Q

Usually composed of several complex and interacting parts, any one or set of which may cause some effect.

A

Manipulated Variable

25
Q

TRUE OR FALSE:

Correlation Coefficient varies in between -1.00 through .00 to +1.00 but not exactly

A

TRUE

26
Q

**TRUE OR FALSE: **

It is not important to put the appropriate sign in front of the correlation coefficient, otherwise one cannot know which way the two variables are related, positively or negatively.

A

FALSE; it is important