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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.