Scientific Foundations Of Psychology Week Three Key Terms

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29 Terms

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Random Error

Individual variations or situational variations, such as fatigue

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Systemic Error

Method variations, such as training of assessor or the way a question is posed

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Reliability

The extent to which a score is consistent and dependable across time and between observers

  • Reliability = True Score/ true Score + Error

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Validity

The extent to which the score is consistent with theoretical expectations about how the construct should behave

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Theoretical Construct

Thing we are trying to take measurement of

  • Can't be directly observed

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Split-half Reliability

Scores from one half of the measure correlate with the other half

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Internal Validity

Extent to which you are able to draw the correct conclusions about casual relatonships between variables

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External validity

Refers to the generalisability or applicability of your findings to the real world

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Construct Validity

A question of whether you’re measuring what you want to be measuring

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Face Validity

Refers to whether or not a measure “looks like” it’s doing what it’s supposed to, nothing more

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Ecological Validity

The set up of the study should be closely approximate to the real-world scenario being investigated

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Categories Of Citizen Power:

  • Degrees of Citizen Power

  • Degrees Of Tokenism

  • Degrees of Participation

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Degrees Of Citizen Power

Highest section highlights actual power and control. This section involved negotiation, sharing power and citizen action

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Degree’s Of Tokenism

Counterfeit power, including informing people of their rights and responsibilities, consulting people on thoughts/opinions, and placating those who are unhappy. People are involved only to show they were involved

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Degree’s Of Participation

No power. Illusionary form of participation that occurs when people are misled into believing they have power in a process that denies them any power. Attempt to make people think they are suffering due to their own circumstance instead of certain organisations

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Three Levels Of Involvement That Can Be Conflicted

  • Consultation

  • Collaboration

  • User-Controlled

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Consultation

Members of public asked to give their views in assiatnce with informed decision making

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Collaboration

Denotes ongoing partnership between academic researchers and contributions to make decisions about research

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User-Controlled

Research that is controlled, directed and managed by service used and servic user organisations

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Benefits To Involving Those With Lived-In Research

  • Provide extra dimension to data analysis

  • Alternative perspectives

  • Identify relevant themes

  • Check validity of experimentation

  • Correct misinterpretation

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Ways of involving people:

Use one person with lived experience to get involved within multiple stages of research]

- Use advisory group to look into multiple aspects of the experiment, multiple perspectives

- Might have people involved in research team that have experience

- Work alongside community partners who are actively involved in the project

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Constructing A Hypothesis

Educated guess about what a study might find

- Built/contrusted based on what has veen found by past research looking at similar question

- Must be testable

- quite specific to it can set parameter on research design

- Hypothesis should be phrased as a statement, not a question

- Must be falsifiable

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Repeatability

Whether the eperiment can be conducted again and get the same results

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Agreement

The agreement between different researchers

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Consistency

Can the same results. be obtained again using standadised testing

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How To Improve Reliability

Improve instruments and tools overtime -> increasing number of items, clearly written items, objective scoring technique

- Standardize the test situation and clear instructions are provided

- Stating limitations and/or adjusting them: Who does this apply to and stating who it does apply to

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Convergent Validity

How correlations between measures of the same trait: how much overlap between two concepts? - overlap,corrlation

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Discriminant Validity

How much we can seperate/how much resolution there is between two different factors - dont want to measure self-esteem with agression - no correlation/no relation

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Content Validity

evaluates how well an instrument (like a test) covers all relevant parts of the construct it aims to measure