Last minute unknown RM - Flashcards

1
Q

Difference between interview techniques -

A

S - Questions are decided in advance (may be open or closed), most likely to be quantitative data.

SS - Some questions may be prepared before, based on these answers they may allow the adoption of new answers

US - No questions are prepared in advance, each questions tends to happen of the previous response most likely qualitative data

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2
Q

Questionnaires -

A

Asks a series of questions to collect info about topics or a topic
Always structures with questions
It allows a permit of what the individual feels instead of guessing.

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3
Q

Self report techniques in general and of all 3 pros and cons -

A

Allow access of people thinking and thoughts

May not be truthful and the idea of social desirability bias (answer questions which makes them look better)

A strength of Q and SI is that they are both reusable as they are both standardised

A problem with them is interviewee bias where their expectations may influence the answers of the individual

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4
Q

Questionnaire construction -

A

Clarity - needs to be written so that the individual understands what is being asked and what is expected of the participants

Bias - as in a leading question. The question should not lead an individual to believe that there question is hinting at something.

Analysis - questions need to be written so that they are easily readable and accessible.

Other considerations -
Sample - how to select respondents and reduce bias but have a range of characteristics
Pilot study - Tested on a small group prior to the original test to see whether anything needs changing.

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5
Q

Design of an interview -

A

May take notes during the process but interfere with listening, mainly discuss what was considered in a questionnaire.

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6
Q

Correlations -

A

Systematic association between two continuous variables.
Can be positive/negative May be curvilinear begins as positive but goes negative. No correlation = null hypothesis

When conducting a study a correlational hypothesis is needed which states what the expected association is between the 2 co-variables.

Scattergrams are used to illustrate a correlation, the more linear data the more strongly the correlation is. The co variables determine the x and y position.

Correlation coefficient - number between -1 and +1 which tell us how the co-variables are associated with each other.

A problem with the understanding of the correlation is there may be intervening variables -which comes between the 2 variables which cause them to explain the association between the correlation.

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7
Q

Falsifiability -

A

Being able to prove a hypothesis wrong in order for a theory to be considered scientific.

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8
Q

Paradigm -

A

A general law that is accepted by the majority of others, a paradigm shift occurs when there is evidence of the paradigm being less accurate.

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9
Q

Reliability can be measured by?

A

Inter-rater reliability - two or more observers the same experience and record the data. The data is compared. A positive relationship suggests there is inter-rater reliability. 0.8 + (Reliability = the consistency of the measuring instrument).

Test-retest - The same participants complete the test on two or more separate occasions. Where a positive test between the first two highlight consistency.

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10
Q

Validity can be measured by?

A

Face or content validity - extent to which the test items look like they intend to measure what they claim to measure.

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11
Q

Psychological investigations - order

A

Abstract, intro, method, results, discussion, references.

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12
Q

Aim summary -

A
  • Aim
  • Key research the study its based on
  • experimental/alternative hypothesis
  • Brief details of the method
  • Statistical conclusion
  • Whether the null hypothesis can be rejected.
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13
Q

Introduction summary -

A

Literature review of research studies, statements of the aim, experimental/null hypothesis.

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14
Q

Method section -

A

Design, IV and DV, number if pp, details of material and the use.

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15
Q

The role of peer review -

A

Assessment of scientific work by others who are in the same expert field, the purpose of this is to allow correctly published research.

Critics - finding an expert isn’t always available, this means poor research may be passed as it wasn’t generally understood.

Publication bias - tend to publish positive results, tends to lead to bias and misperception of true facts.

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