Module 1 - 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

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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3
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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3
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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4
Q

TRUE OR FALSE:

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

A

TRUE

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5
Q

It calls for you to divide participants by halves

A

Between Subject Design

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6
Q

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

A

Within Subject Design

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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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12
Q

TRUE OR FALSE

Counterbalancing eliminates the effects of order.

A

FALSE; it does not eliminate

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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

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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15
Q

TRUE OR FALSE

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

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

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:

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

17
Q

TRUE OR FALSE

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

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

20
Q

Something that can be measured or manipulated.

21
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
A tabular presentation of all combinations of categories of two variables, which allows the relationships between the two to be examined.
Contingency Table
21
Allows the researcher to determine simultaneously the degree and direction of a relationship with a single statistic.
Correlational Research
22
Measures the degree and direction of the relationship between two variables
Correlation Coefficient
23
Usually composed of several complex and interacting parts, any one or set of which may cause some effect.
Manipulated Variable
24
**TRUE OR FALSE:** Correlation Coefficient varies in between -1.00 through .00 to +1.00 but not exactly
TRUE
25
**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.
**FALSE;** it is important