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Random Error
Individual variations or situational variations, such as fatigue
Systemic Error
Method variations, such as training of assessor or the way a question is posed
Reliability
The extent to which a score is consistent and dependable across time and between observers
Reliability = True Score/ true Score + Error
Validity
The extent to which the score is consistent with theoretical expectations about how the construct should behave
Theoretical Construct
Thing we are trying to take measurement of
Can't be directly observed
Split-half Reliability
Scores from one half of the measure correlate with the other half
Internal Validity
Extent to which you are able to draw the correct conclusions about casual relatonships between variables
External validity
Refers to the generalisability or applicability of your findings to the real world
Construct Validity
A question of whether you’re measuring what you want to be measuring
Face Validity
Refers to whether or not a measure “looks like” it’s doing what it’s supposed to, nothing more
Ecological Validity
The set up of the study should be closely approximate to the real-world scenario being investigated
Categories Of Citizen Power:
Degrees of Citizen Power
Degrees Of Tokenism
Degrees of Participation
Degrees Of Citizen Power
Highest section highlights actual power and control. This section involved negotiation, sharing power and citizen action
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
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
Three Levels Of Involvement That Can Be Conflicted
Consultation
Collaboration
User-Controlled
Consultation
Members of public asked to give their views in assiatnce with informed decision making
Collaboration
Denotes ongoing partnership between academic researchers and contributions to make decisions about research
User-Controlled
Research that is controlled, directed and managed by service used and servic user organisations
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
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
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
Repeatability
Whether the eperiment can be conducted again and get the same results
Agreement
The agreement between different researchers
Consistency
Can the same results. be obtained again using standadised testing
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
Convergent Validity
How correlations between measures of the same trait: how much overlap between two concepts? - overlap,corrlation
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
Content Validity
evaluates how well an instrument (like a test) covers all relevant parts of the construct it aims to measure