EXAM 2 Flashcards

1
Q

Scales of Measurement:
1) Nominal
2) Ordinal
3) Interval
4) Ratio

A

1) Nominal: No numerical or quantitative properties (left handed vs right handed)
2) Ordinal: Ranked (Low Medium High)
3) Interval (Difference between numbers on a scale are meaningful, temperatures, the spaces matter)
4) Ratio (“Twice as much” matters, unlike temeratures 60 deg is not really twice as hot as 30)

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2
Q

Research Ethics:
1) Critical incidents to develop ethics guidelines
2) Tuskagee and Willowbrook cases
3) Risk assesment, use of deception, IRB, informed consent, debriefing

A

1) Critical incidents to develop ethics guidelines: Belmont Report, Respect for Persons, Beneficence, and Justice
2) Tuskagee and Willowbrook cases: Tuskegee Syphilis Study
Willowbrook Hepatitis study
3) Risk assesment: Are the risks associated with the study worth the results later on?; use of deception: Lying to the participants in order to not reveal the actual purpose of the study; IRB: Institutional review board; informed consent: participants have to agree to participate in the study; debriefing: letting the participants know what was going in with the study, what was studied, and future references if needed

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3
Q

Population vs Sample

A

Population: All individuals of interest to the researcher
Sample: A selected group from that population(smaller)

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4
Q

Selection Bias

A

Selection differences or the sample not being chosen randomly (random assignment)

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5
Q

Probability Sampling methods
1) Simple random
2) Systemic Random
3) Stratified random
4) Cluster Sampling

A

1) Simple random: Assigned a number then chosen at random
2) Systemic Random: every nth number
3) Stratified random: Population is divided into different groups, then randomly sampled from each new group
4) Cluster Sampling: Probability sample “clusters” of individuals

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6
Q

Non Probability Sampling
1) Convenience
2) Quota
3) Snowball

A

1) Convenience: Haphazard sampling, obtaining participants in the easiest way possible
2) Quota: Sample from a numerical composition of various subgroups
3) Snowball: Asking participants to recruit more participants

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7
Q

Random selection vs random assignment

A

Random selection: Random sampling from a population for a study
Random assignment: Already in the study, randomly applied the conditions/IV

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8
Q

Pilot Study

A

Trial run, usually a small sample, to see how an experiment is going to go

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9
Q

Manipulation Checks

A

Whether the IV has the desired effect on the participant, usually in pilot studies

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10
Q

Ceiling and Floor effects

A

Ceiling effect: IV is too easy to do, so there is no desired effect
Floor: Opposite of ceiling, IV is too hard, so effect cannot be measured

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11
Q

Order effects

A

Order in which the IV are presented, especially in a repeated measures study

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12
Q

Counterbalancing vs Partial counterbalancing and limitations

A

Counterbalancing: All possible orders of presentation are included in the experiment

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13
Q

Main effects and interactions

A

Effects of the IV on the DV, interactions between two or more IVs

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14
Q

Identifying variables and their levels (IV, SV, DV)

A

IV
SV
DV

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15
Q

Describe factorial designs (2 x 2), # of conditions, between vs within subjects designs

A

Factorial Designs: Multiple IVs with different levels: 2 IVs with 3 levels would be 3x3, 3 IVs with 2 levels each would be 2x2x2
# of conditions: multiply all the IVs and their levels
Between design: Subject groups are compared with each other
Within design: Group comparisons are made within the same group

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16
Q

Ways to measure the DV
1) Self Report
2) Physiological
3) Behavioral

A

1) Self Report: Participants say what they are feeling
2) Physiological: Measured through medical instruments
3) Behavioral: Observe the participants behavior

17
Q

Operational Definitions of IV and DV

A
18
Q

Experimental Control, Single vs Double Blind Procedures

A

Experimental Control
Single Blind Procedure: The participant does not know the condition of the study being given
Double Blind Procedures: Both the researcher and the participant don’t know what condition is being given

19
Q

Confounds

A

A funny little secret third variable that fucks up the study

20
Q

Descriptive Statistics

A

You can calculate descriptive statistics in a study, making precise statements of said data

21
Q

Frequency distributions

A

Number of individuals who receive each possible score on a variable (college exam scores)

22
Q

Frequency distributions graphs

A

Visual representation of the data from a frequency distribution

23
Q

Characteristics of a normal distribution

A

Bell curve (Most data points in the middle, then tapers off near either end)

24
Q

Kurtosis
1) Mesokurtic
2) Leptokurtic
3) Platykurtic

A

Kurtosis: measure of the tailedness of a distribution
1)Leptokurtic ( + and tall)
2)Mesokurtic (0/normal)
3)Platykurtic (- and short)

25
Q

Types of non-normal distributions
1) Skewed (+ or -)
2) Bi
3) Polymodal

A

1) Skewed (+ or -)
Tail being left is negative
Tail being right is positive
2) Bi: Two peaks in the graph
3) Polymodal: Multiple peaks in the graph

26
Q

Correlations
1) Positive
2) Negative
3) Curvilinear
4) None

A

1) as x goes up so does y
2) as x goes up y goes down
3) Parabola shape
4) there is no correlation

27
Q

Describing correlation coefficients (strength and direction of the relationship)

A

Small r ≤ .3;
Medium r = .3 to .6;
Large r ≥ or equal to .6

28
Q

Scatterplots

A

Points plotted on a plot to determine the correlation of said points

29
Q

Restriction of range

A

Only using a section of a scatterplot, thus changing the correlation coefficient with less data points