Research Methods

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39 Terms

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Quantitative

  • Numerical

  • Tests ideas

  • Measurable

  • Objective

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Qualitative

  • non numerical

  • describe and understand

  • subjective

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Experiments

  • Quantitative

  • deductive (starts with an idea to test)

  • cause/effect

  • IV/DV

  • hypo

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True experiment

  • lab/field

  • manipulated IV

  • allows for random allocation to conditions

  • better control of extraneous variables due to test environment

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Quasi experiments

  • no manipulated IV ——> pre existing variable about the participant

  • less controlled extraneous variables

    = more doubt over cause/effect

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Natural Experiment

  • no manipulated IV ——> a naturally occuring change

  • less control of extraneous variables

    = more doubt over cause/effect

  • Often uses a pre/post test design

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Correlation

  • quantitative

  • deductive (starts with an idea to test)

  • co-variables

  • testing a relationship between two variables

  • no manipulated variables —> measure existing variables

  • know the direction and strength of correlation (r-value)

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Case Study

  • qualitative

  • longitudinal

  • instrumentals vs intrinsic

  • mixed methodology (triangulation of method)

  • mix of data and inferences

  • informs theory

  • inductive (starts with data —→ theory)

  • difference between intrinsic/instrumental case studies

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Survey

  • Quantitative

  • information gathering (no additional agenda unlike correlations)

  • standardised

  • closed-ended questions

  • often uses rating scales

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Interviews

  • qualitative

  • inductive (starts with data —> theory)

  • understanding experience from the participant perspective

  • often uses inductive content analysis (ICA) to analyse data

  • Types (and features of these)

    • unstructured

    • semi-structured

    • focus-groups

  • inductive content analysis

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Naturalistic Observation

  • qualitative

  • inductive (stars with data —> theory)

  • takes place in the participants natural environment

  • can collect quantitative data

    e.g tallies

  • can collect qualitative data —> often uses content analysis (ICA) to analyse this

  • no manipulated variables/interference with the environment (unlike experiments)

  • Watching

    • overt/covert

    • participant/non participant

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Sampling techniques

  • random

  • volunteer

  • purposive

  • snowball

  • opportunity/convenience

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(EC) During

  • protection from harm (physical and psychological)

  • right to withdraw

  • informed consent (3 parts: knowledge, willingness, capacity)

  • deception

  • debrief

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Reporting

  • integrity —> data fabrication/p-hacking

  • confidentiality

  • sharing data verification purposes

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Applying Findings

  • social implications

  • handling of sensitive results

  • creating ethically beneficial/useful interventions interventions and strategies

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Generalisability: To the target population

Quantitative: population validity

Affected by: sample (size, method, characteristics/demographics)

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Generalisability: Beyond the study

Quantitative: Ecological Validity

Affected by: level of control/mundane realism

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Generalisability: To the theory

Quantitative: construct validity (extent to which a test/tool accurately measures the theoretical construct it intends to measure)

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Transferability: To the target population

Qualitative: representational generalizability

Affected by: sampling method, sample demographics

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Transferability: Beyond the study

Qualitative: case to case transferability

Affected by: contexts/cases that share similar characteristics

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Transferability: To the theory

Qualitative: theoretical generalizability

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Inductive Content Analysis (ICA)

1) read / re-read

2) coding

3) categories

4) conclusions

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Bias

  • leads results towards a particular answer

  • reduce credibility of research meaning data is not accurate

  • can originate from researcher or participant

Sampling bias, Reporting bias, Confirmation bias, Leading questions bias

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Credibility

  • quality of being trusted/believed

  • shouldn’t be impacted by bias

Social desirability bias, Dominant response bias, Sensitivity bias, Demand characteristics, Reactivity

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Personal Reflexivity

reflections on person beliefs and expectations (bias) in attempt that they don’t impact conclusions of the study

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Epistemological Reflexivity

reflections on research choices, planning to overcome research weaknesses and being aware of limitations when conclusions are drawn

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Double-Blind

neither participant nor researchers know who is who to reduce risk of researcher expectations/bias

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Reflexivity journal

personal reflexivity & credibility checks

Notes that document a qualitative researcher’s personal experiences, biases and choices. Aims to raise awareness of biases and make research more credible.

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Triangulation

Way to decrease bias

Method: use multiple research methods

Researcher: use multiple researchers in recoding, analysis and reporting

data: gather data from multiple recourses

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Data saturation

where no more ideas can be extracted from the data

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Deductive Approach

Starts with a theory or idea, forms a hypothesis, make empirical observations, and then collects and analyses data to confirm/reject/modify the original theory.

COMMON IN QUANTITATIVE RESEARCH

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Inductive approach

begin with data and use that to form new ideas or theories.

COMMON IN QUALITATIVE RESEARCH.

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Correlation Coefficient

Numerical value that denotes the degree of statistical relationships between two variables.

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Iterative questioning

coming back to an issue/topic a number of times → rephrasing the question, to ensure that the full and truthful answer is given.

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Triangulation of method

Use of multiple research methods to explore the same phenomenon → leads to a better understanding.

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Participants social desirability bias

Participant tendency to alter their answers to fit what they believe appropriate or acceptable in a given situation.

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Demand characteristics (participant bias)

When participants are aware of the focus of research and change their behaviour accordingly, affecting the validity of results collected.

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Selective attention bias (researcher bias)

Tendency for researchers to focus on a particular behaviour whilst ignoring others, depending on their beliefs and expectations about the research.

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