Research Methods Y2 Flashcards

(30 cards)

1
Q

What are the 4 features of science??

A
  • Objectivity
  • Empirical method
  • Replicability
  • Hypothesis testing
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2
Q

What does objectivity mean and which type of experiment is most objective??

A

Avoiding personal bias
Lab experiments

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3
Q

What is the empirical method??

A

Using observable evidence to draw conclusions and draw theories

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4
Q

What’s a correlation??

A

Association between 2 variables is investigated

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5
Q

What are co-variables??

A

Variables in a correlation

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6
Q

What’s a correlation coefficient??

A

Tells us strength & direction of the relationship between co-variables (between –1 and +1)

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7
Q

How do we know if a correlation is strong or weak??

A

Closer to +1 or -1 = strong
Closer to 0 = weak

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8
Q

What does the tests table look like (the one with nominal data, etc…)??

(need to memorise fully)

A

Independent groups Repeated Measures Correlation
Nominal Chi-squared Sign test Chi-squared
Ordinal Mann-Whitney Wilcoxon Spearman’s rank
Interval Unrelated t-test Related t-test Pearson’s R

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9
Q

What’s ordinal data??

A

Data based on subjective opinion

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10
Q

What’s interval data??

A

Numerical scales that include units of equal size (units that are globally the same. E.g. 26 degrees Celsius in England is the same as 26 degrees Celsius in China.

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11
Q

What’s the Rule of ‘R’??

A

Test names that have an ‘R’ in their name:

The calculated value needs to be equal to or more than the critical value for the results to be significant.

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12
Q

What’s the statement of significance for Spearman’s Rho??

A

If the calculated value (x) of rho (ignoring the +/-) is more than or equal to the critical value, at a probability of 0.05, then the result is significant.

Therefore, the null hypothesis is rejected and there’s a significant correlation between X and Y.

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13
Q

What’s content analysis??

A

A method of studying behaviour by analysing behaviour in the media they have produced (like social media and speeches)

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14
Q

What are the 2 stages of content analysis??

A
  1. Coding
  2. Thematic analysis
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15
Q

Explain the first stage of content analysis!

A

Stage 1 = coding
Process of categorising information, turns qualitative data into quantitative data. Behaviours are assigned a code to be analysed numerically

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16
Q

Explain the second stage of content analysis!

A

Stage 2 = thematic analysis
Researcher looks for themes within the categories formed during coding (stage 1). Theme=recurring idea

17
Q

What are the 3 evaluation points of content analysis??

A
  • External validity
  • No ethical issues (the data it uses is already in public domain)
  • Subjective (Researcher may attribute alternative opinions that weren’t intended)
18
Q

What are 2 ways of improving reliability of an experiment??

A
  • Inter-observer reliability (More than one observer, can check behavioural categories are being applied correctly)
  • Inter-rater reliability (more than one researcher analysing collected data, used for interviews, questionnaires and content analysis)
19
Q

What are 2 ways of checking if a study is reliable??

A
  • Test retest (carry out research with same sample, results should be the same)
  • Conduct a correlation and then find a correlation coefficient (if it’s more than +0.8 then it’s reliable)
20
Q

What are the 3 types of validity??

A
  • Internal (No third factor influencing DV)
  • External (Can it be generalised to other settings?)
  • Temporal (Were the findings specific to their time? If it was conducted today would the results be the same?)
21
Q

What are 3 ways of checking that studies are valid??

A
  • Face validity (On the surface, does it measure what it claims to?)
  • Concurrent validity (When results of the study are similar to those of a more-established one)
  • Correlation coefficient being above +0.8 like with reliability
22
Q

How can we make lab experiments, questionnaires and observations more valid??

A

Lab experiments: standardise, double-blind procedure

Questionnaires: Keep them anonymous, avoid leading questions

Observations: Covert, use specific behaviourist categories

23
Q

Validity is enhanced using triangulation.

What is triangulation??

A

Using data from 3 different sources, collecting data in 3 different ways

24
Q

What does p≤ 0.05 mean??

A

There is up to a 5% chance that the results occurred by chance!

25
What's a type 1 error??
A false positive! Null hypothesis is rejected when it should've been accepted Occurs when significance level is too high (10% instead of 5%) p≤ 0.1
26
What's a type 2 error??
A false negative! Null hypothesis is accepted when it should've been rejected Occurs when significance level is too low (1% instead of 5%) p≤ 0.01
27
What letters do the Mann-Whitney and Wilcoxon tests use?? And how do we know if the data is significant??
Mann-Whitney uses 'U' Wilcoxon uses 'T' The data is significant when the calculated value is less than the critical value!
28
What letters do the unrelated t-test and related t-test use??
T
29
What's different about the chi-squared test as opposed to the other tests of difference??
It uses df (degrees of freedom) instead of N (number of ppts) for finding the critical value
30
What's the equation for df (degrees of freedom)??
(No. of rows - 1) x (No. of columns - 1)