Research methods Week 1 Flashcards

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1
Q

Where do new psychological questions come from?

A

Areas that have not been examined in detail, conflicting findings from previous research, concerns about the previous research or new social or technological developments

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2
Q

What makes a good research question?

A

Specific/narrow better to answer a narrow question well than a broad question poorly
Practical/doable- is it feasible?
Interesting- generate new knowledge
Empirical- requires some form of data to be assessed
Should not assume the answer

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3
Q

Properties of a hypothesis

A

Logical- based on established knowledge, logical argument
Testable- must be possible to observe and measure all the variables involved in the hypothesis
Refutable- it must be possible to demonstrate that a hypothesis is incorrect (falsifiable)
Positive- We only generate a hypothesis when we think a relationship does exist and we attempt to accumulate evidence

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4
Q

What are directional(one tail) and non- directional (two tail) hypothesis?

A

Directional- prediction between the direction of the outcome
Non-directional -predicts change without specifying the direction of the change

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5
Q

What is a null hypothesis?

A

-Hypothesis is proved wrong we fall back on the null
- often no relationship or no effect ect
- if we do not find support for our hypothesis we fail to reject the null
-Null not often explicitly mentioned
Referred to as h(tiny 0)

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6
Q

What is Nominal data?

A

Categories (independent)
Can be counted
Cannot be ranked/ordered
Cannot be measured
Eg- male,female,yes,no

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7
Q

What is Ordinal data?

A

Ranks (categories can be ranked)
Can be counted
Can be ranked/ordered
Cannot be measured
Eg-1st 2nd ect

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8
Q

What is interval data?

A

Scale with exact values
Can be counted
Can be ranked/ordered
Can be measured
Can go below zero
Eg- temperature or difference score

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9
Q

What is Ratio data?

A

Scale with exact values
Can be counted
Can be ranked/ordered
Can be measured
Cannot go below zero
Eg- real number, time

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10
Q

Aim

A

The researchers area of interest- what they are looking at

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11
Q

Alpha Value

A

The value that the p value must be below in order for the hypothesis to be accepted (0.5)

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12
Q

Confidentiality

A

Unless agreed beforehand, participants have the right to expect that all data collected during a research study will remain confidential and anonymous

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13
Q

Confounding variables

A

An extraneous variable that varies systematically with the IV so we cannot be sure of the true source of the change in the DV

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14
Q

Control group

A

A group treated normally and gives us a measure of how people behave when they are not exposed to the experimental treatment

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15
Q

Correlational analysis

A

A mathematical technique where the researcher looks to see whether scores for two covariables are related

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16
Q

Counterbalancing

A

A way to control order effects in a repeated measure design- ABBA

17
Q

Covert observation

A

Also known as a undisclosed observation as the participants don’t know they are being observed

18
Q

Debriefing

A

The true aim is revealed to the participant.
Aim is to return the participant to the state they were in before the experiment

19
Q

Non- experimental

A

Looks for naturally occurring relationships or differences of variables
Correlational- is there a relationship between X and y
Comparison- are there existing differences between X and y
Effects over time- what happens to x as time passes