Peer review- RESEARCH METHODS Flashcards

1
Q

Peer review process

A
  • Happens BEFORE publication in a journal
  • Researcher submits paper to journal
  • If the paper meets the journal’s aims and scope it is sent to external reviewers
  • The reviewer is a researcher deemed an exspert in the particular field that the paper is on
  • The reviewers do not know who ahs written the paper and likewise the author does not know who the review is (double- blind)- maximises objectivity
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2
Q

The reviewers read the draft carefully- and what do they comment on?

A
  • Appropriateness of the method used (to test aim)
  • Ethical issues
  • Sources of bias
  • Operationalisation and control of key variables
  • Reliability, validity and interpretation of findings
  • Appropriateness of conclusions (conclusions = valid)
  • The reviewer decides whether or not the research is worthy of publication in the journal
  • The reviewers have a crucial role as controllers of the quality of published research that enters the public domain
  • They consider validity, significance and originality
  • A weak research design is unlikely to be published (rejected)
  • Poor reporting may mean that minor or major changes have to be made by the researcher
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3
Q

Publication of the research findings

A
  • The research is now in the public domain
  • Other researchers can attempt to replicate the findings with different samples etc
  • Other research based on the findings can further the field
  • Applications/ interventions may be based on the findings
  • Other researchers can write into the journal to comment on the article and the original author may respond
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4
Q

Why is peer review important for the scientific process?

A
  • Researchers cannot spot every mistake in their own work- can’t trust there will be error- free work
  • Increases probability that errors will be detected
  • Prevent the dissemination of irrelevant findings, unsupported claims, unacceptable interpretations, personal views and deliberate fraud
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5
Q

Main feature of science- What is objectivity?

A
  • Not biased by personal opinions or viewpoints
  • Not affected by the explanations of the researcher
  • Systematic collection of measurable data
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6
Q

Example of where Objectivity has been used?

A
  • Loftus and Palmer- when they changed verbs
    How did they achieve objectivity?:
  • Random allocation to conditions
  • Filler activiies- didn’t know what the critical question was- reduces demand characteristics- more objective
  • Control of varables- I.V- change of verbs, D.V- estimates of speed in data- quantitative data- less likely to be subjective
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7
Q

How is objectivity achieved?

A
  • Experiments- control of variables, random allocation of participants, observations, inter- rater reliability, double- blind study- another researcher collects data
  • In psychology the “gold standard” of maximising objectivity is through carrying out carefully controlled lab experiments
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8
Q

Threats of objectivity?

A
  • Researcher bias (e.g Mead- collected data to support her own theory
  • Participant bias- social desirability bias- change answers
  • Demand characteristics
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9
Q

Why is objectivity important in psychology?

A
  • Increases validity and replicability
  • Can identify cause and effect
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10
Q

Main feature of science- What does replicability refer to?

A
  • Can another observer gain the same outcome?
  • What factors increase replicability?
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11
Q

Why is replicability important?

A
  1. Guards against scientific fraud
  2. Allows scientists to check whether the results were a one- off due to the particular way that the study was carried out
  3. Can be used to assess reliability
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12
Q

Why is replicability important in psychology?

A
  • Make sure other people can get the same results
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13
Q

How is replication achieved in psychology in
1. Experiments
2. Observations

A
  1. Experiments:
    - Control- participant variables (random allocation), situational variables
    - Careful methodology- objective measurements
    - Write a detailed procedure- so that someone can carry out your study
  2. Observations:
    - Behavioural categories
    - Time/ Event sampling
    - Training observers
    - Covert observation- minimises demand characteristics
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14
Q

Replication is only possible if full and precise details of research are published. What should this include?

A
  • Exactly what they did
  • The number of participants, their key characteristics and how they were selected
  • Where the study was carried out
  • What raw data was collected and how they were analysed
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15
Q

Main features of science- theory construction. What are scientific theories?

A
  • Scientific theories are formulated in attempt to explain behaviour that has been repeatedly observed
  • They must then be subject to rigorous testing to see whether the gathered evidence supports or challenges the theory
  • Theories need to be tested to add to our body of scientific knowledge
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16
Q

Why is theory construction important in psychology?

A
  • Scientific progress is made when clear and explicitly formulated theories are developed and systematically tested
  • If research evidence does not support an exisiting theory that it was designed to test, that theory must be modified or rejected
  • Allows testable predictions to be formulated
17
Q

Steps for a Deductive Approach

A
  • A social phenomenon is observed (observe something in the real world)
  • A theory is developed to explain why it occured
  • The theory is tested through research and the theory is either accepted, rejected, or revised

Come up with theory first - then collect data

18
Q

Steps for an Inductive Approach

A
  • A social phenomenon is observed
  • Data is collected on the possible reasons why it occurs and trends in the data are examined
  • A theory is developed from the data to explain the social phenomenon

Start testing then theory comes at the end

19
Q

Features of science- hypothesis testing

A
  • Hypothesis- is a precise, testable statement of the expected outcomes of a study
  • Psychological theories are tested by generating testable hypotheses and investigating whether the evidence supports them
20
Q

What happens if the evidence does not support the theory?

A
  • May need to be refined or abandoned
  • Specific hypothesis test elements of the theory
  • We persist with the theory that provides the best explanation of the available data
  • (one- tailed hypotheses are appropriate if previous research suggests the direction of your results)
  • Statistical testing allows the researcher to determine whether a particular result is due to chance variation of manipulation of the I.V
21
Q

Falsification

A
  • Best way to prove a theory is correct is to see evidence of disproof
  • E.g we see seek to disprove the null hypothesis in order to accept the alternative hypothesis
22
Q

Why is hypothesis testing in psychology important?

A
  • Allows predictions based on theories to be tested
  • When experimental data confirm predicitons (hypotheses), researchers can be more confident that the theory is valid
  • Theories can be refined or rejected
  • Confidence level of p < 0.01, likelihood of a type 1 error is reducted (accepting the alternative hypothesis when it is not true
23
Q

Features of science- What are empirical methods?

A
  • Empirical methods are the use of observations and measurement
  • Methods that rely on direct sensory experience- the careful observation and measurement of variables
  • Only variables that are publicly observabale and can be agreed upon by others can be validated as knowledge
  • All scientific knowledge must be based on evidence collected through direct observation, experience or measurement, rather than on intuition, personal opinions or beliefs
24
Q

Example of where empirical methods have been used?

A
  • Lab experiments
  • Observations
  • Questionnaires
  • Interviews
25
Q

Why is the use of empirical methods important in psychology?

A
  • Allows for objectve research methods
  • Allows for theory testing
  • Advance in scientific knowledge
  • Allows for replication
  • Claims/ predicitions can be tested
26
Q

Paradigms

A
  • What distinguished a science is a set of shared assumptions and agreed methods
  • Kuhn believed that psychology’s lack of an accepted paradigm and conflicting approaches means it is yet to achieve the status of mornal science and is therefore a “pre-science”
27
Q

Paradigm shift

A
  • Kuhn proposed that there are two main phases in science
  • One is called “normal” science where one theory remains dominant despite occasional challenges from disconfirming studies
  • Graudally the disconfirming evidence accumulates until the theory can no longer me maintained and then it is overthrown
  • This the second phase- a paradigm shift -> follow what’s acceptable in society
  • Therefore scientific progress is related to social factors (e.g what people are saying, what society will accept)
28
Q

Paradigm shifts in psychology

A
  • Freud- focus on unconscious
  • Shift to learning theory- collecting empirical data
  • Shift to cognitive approach- tries to model thoughts
  • Shift to biological approach- cognitive neuroscience- mapping onto the brain
29
Q

What are 3 ways to check if a distribution is normal?

A
  1. Examine visually (see if most centred around the mean).
  2. Calculate the measures of central tendency (calculate the mean, median and mode- see if they are similar)
  3. Plot the frequency of the distribution
30
Q

Characteristics of a normal distribution

A
  1. The left and right sides of the distribution are mirror images.
  2. Bell-shaped curve: Most values cluster around the mean, tapering off equally on both sides.
  3. Mean = Median = Mode: All three measures of central tendency are the same and located at the center.
  4. The ends of the curve approach, but never touch, the horizontal axis.
31
Q

LEARN POSITIVE SKEW

A
  • The tail is on the right, it’s a positive skew
  • Mode is high
  • Median higher than mode
  • Mean is the highest
  • Mean susceptible to outliers
32
Q

LEARN NEGATIVE SKEW

A
  • Mode is the highest
  • Median is the lowest
  • Mean is the lowest- pulled mean down
33
Q

Characteristics of a skewed distribution

A
  1. The distribution is not evenly balanced on both sides.
  2. Tail direction indicates skew:
    - Positively skewed: Tail extends to the right (higher values).
    - Negatively skewed: Tail extends to the left (lower values).
  3. Mean ≠ Median ≠ Mode: The mean is pulled in the direction of the skew, while the mode remains at the peak.
  4. Most values are concentrated on one end of the scale.
34
Q

Implications of psychological research for the economy

A

Psychological research supports the economy by reducing healthcare costs, boosting workplace productivity, and improving education outcomes.