Research Methods Flashcards

(12 cards)

1
Q

Questionnaires

A
  • Questionnaires are a set of designed questions. They are used to quickly collect data from a large group of people.
  • Distinguish between open-ended and closed-ended questions. Open-ended questions allow participants to respond in their own words while closed-ended questions have a set of predefined responses.
  • The Likert scale is commonly used in questionnaires to measure attitudes or feelings.
  • Make sure the questions are not leading or bias, as this could manipulate the participant’s response.
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2
Q

Interviews

A
  • Interviews involve the researcher directly asking questions to the participant. They’re generally conducted in person, though phone or online interviews can also be valid.
  • There are two main types of interviews: structured and unstructured. Structured interviews have a set list of questions, while unstructured interviews don’t follow a rigid structure and allow for more spontaneity.
  • Remember the concept of interviewer bias, where the interviewer may subconsciously influence the participant’s responses.
  • There’s also the semi-structured interview, which includes both predefined questions as well as room for following up on interesting responses.
  • Probing questions are used to dig deeper into participant’s answers and gather more detailed responses.
  • Bear in mind the issue of social desirability bias where individuals modify their responses to appear favourable or socially acceptable, especially in face-to-face interviews.
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3
Q

Observations

A
  • Naturalistic observation: This type of observation occurs in the individual’s natural setting, like home or workplace, without any interference.
  • Controlled observation: This involves observing behaviour in a controlled environment where variables can be manipulated.
  • Participant observation: In this methodology, the observer becomes part of the group being observed to understand their behaviours more closely.
  • Non-participant observation: Here, the observer remains separate from the group being observed and doesn’t interact with them.
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4
Q

Stages in an Observation

A
  • Define the behaviour: Clearly define the behaviours that are to be observed. This increases reliability and validity.
    operationalising: Make the behaviour measurable and observable.
  • Coding systems: Devise a coding system to record behaviours. This makes data easier to analyse.
  • Pilot study: Conduct a trial run to ensure the coding system and observational procedures are effective.
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5
Q

Characteristics of Observation

A
  • Structured or unstructured: In structured observations, a specific behaviour is focused on. Unstructured observations record all behaviour.
  • Overt or covert: In overt observations, participants are aware they are being observed. In covert observations, they are unaware.
  • Inter-rater reliability: This is the level of agreement in the recording of observations by different researchers.
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6
Q

Limitations of Observations

A
  • Observer bias: Observers might interpret or notice things that align with their expectations.
  • Reactivity: Participants might change their behaviour if they know they are being observed.
  • Ethical considerations: Covert observations can raise issues of consent and deception.
  • Time and resource heavy: Observations, particularly naturalistic ones, could take a lot of time and resources.
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7
Q

Case Studies

A
  • In-depth investigation of single person, group or event.
  • Apply theoretical perspectives to understand individual circumstances.
  • Provide unique insights of new or rare phenomenon.
  • Be careful of generalisability due to specificity.
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8
Q

Correlational Models

A
  • Measure and observe how strongly two variables are related.
  • Can be negative, positive or zero correlation.
  • Be aware that correlation does not imply causation.
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9
Q

Content Analysis

A
  • Systematic and objective means of describing and quantifying phenomena.
  • Enables examination of large amounts of data, such as verbal, written or visual communication.
  • Allows qualitative coding of data to analyse patterns or themes.
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10
Q

Longitudinal Studies

A
  • Observations of same items over long period of time.
  • Can observe changes or developments over time.
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11
Q

Cross-Sectional Studies

A
  • Analyses data from population, or representative subset, at specific point in time.
  • Can contrast different population groups and their variables.
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12
Q

Meta Analysis

A
  • Statistical analysis that combines results of multiple scientific studies.
  • Can resolve contradictions between studies, and increase statistical power.
  • Results can be used to create evidence-based practises.
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