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questionaire - Coggle Diagram
questionaire
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closed questions: questions that offer a small number of explicitly stated alternative responses and no opportunity to expand their answers. quantitative data.
strengths
easy for participants to respond to, so large amounts of data can be collected quickly, making the data more reliable and, if a wide sample is found, generalisable
quantitative data, easy to analyse, e.g. to find mode, medians + plot graphs for many questions
weaknesses
ONLY quantitative data, lack detail + meaning, so participates cannot express opinions fully, lowering validity
risk of response bias, constantly saying yes
only nominal data (total), can only be used to determine a mode
likert scale: begins with a statement and ask participants to respond to that statement by saying how much they agree with it
strengths
do not expect a simple yes / no answer from the respondent, but rather allow for degrees of opinion, and even no opinion at all
quantitative data is obtained, which means that the data can be analysed with relative ease.
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open questions: questions that allow participants to give fill and detailed answers in their own words, i.e no categories or choices are given. qualitative data
strengths
produce qualitative data, provides detail, participants can fully express opinions, raising validity
analysis retains detail of participants' answers, information, such as variation in responses, is not 'lost' through averaging
weaknesses
interpretation = subjective, leading to researcher bias + potentially reducing inter-rater reliability
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qualitative data, time consuming to analyse as themes need to be extracted
fixed response:
a test or survey item in which several possible responses are given and participants are asked to pick the correct response or the one that best matches their preference.
strengths
easy for participants to respond to, large amounts of data collected quickly, data more reliable + wide sample = more generalisable
quantative data,easy to analyse
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weaknesses
only produce quantitative data, lowering validity
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points on scale are only relative, data shouldt be used to calculate a mean
cannot be used to measure complex variables that require more than a simple numerical response, such as attitudes
semantic differential: participants rate their response between an opposing pair of descriptive words (bipolar adjectives)
often used to measure attitudes, the original intention of the scale being to test the means that the participant associated with the concept
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response rate: the number of people who answered the survey divided by the number of people in the sample. It is usually expressed in the form of a percentage.