Basics Flashcards
What is quantitative data? Give a strength and weakness of collecting quantitative data.
Quantitative data is numerical data
Strengths- easier to analyse as statistics so averages can be calculated, allows comparisons to be made
Weaknesses- no reasons behind answers, no detailed understanding of behaviour which reduces validity.
What is qualitative data? Give a strength and weakness of collecting qualitative data.
Qualitative data is non-numerical data
Strengths- participants can provide rich, detailed answers, allows understanding for reasons behind behaviour.
Weaknesses- more difficult to analyse such as calculating statistics, comparisons can’t be made.
What is primary data? Give a strength and weakness.
Primary data is collected directly by the researcher(first hand).
Strengths- can ensure data is valid, if they did this themselves they should be able to easily replicate(increases reliability)
Weaknesses- time-consuming, expensive
What is secondary data? Give a strength and weakness.
Secondary data is collected by by someone else then used by the researcher(second hand).
Strengths- saves time, saves money
Weaknesses- may not exactly fit needs of researcher, not always reliable(could be out of date)
What are the ethical guidelines for respect? Briefly explain them.
Informed consent- telling your participants what they are taking part in, letting them know any risks and getting their consent, could be verbal or written down.
Confidentiality- your results are used not names, kept anonymous.
Withdrawal- tell you participants that they can withdraw(leave) at any time and even withdraw their results when the study is finished.
What are the ethical guidelines for responsibility? Briefly explain them.
Protection of participants/from harm- not harming your participants in anyway (mentally, physically etc)
Debriefing- after research is complete tell your participants what they just took part in(true nature of study, they can withdraw their data etc)
What are the ethical guidelines for integrity? Briefly explain them.
Deception- telling your participants you are researching something when you are actually researching something else.
What are the ethical guidelines for competence? Briefly explain them.
Awareness of professional ethics- must work within their own capabilities.
What is random sampling? Give a strength and weakness.
Every member of the target population has a equal chance of being selected eg: gathering everyone’s name and putting them into a hat and randomly selecting people.
Strength- really representative and you get different people taking part.
Weakness- difficult to get access to names.
What is opportunity sampling? Give a strength and weakness.
Opportunity sampling is anyone who is available and agrees to take part can become a participant.
Strength- easy to do, quick and convenient.
Weakness- some people could say no, may not exactly get who you need.
What is self selected/volunteer sampling? Give a strength and weakness.
It’s where people chose to take part, for example responding to an advertisement.
Strength- people’s chose to take part so less likely to withdraw, quick and convenient.
Weakness- might not get a lot of people, only getting outspoken people.
What is snowball sampling? Give a strength and weakness.
It’s where the researcher finds a couple of participants who fit the target population and asks them to find other participants.
Strength- other people find participants for you.
Weakness- could all have similar results, biased results(not representative).
What is an independent variable?
What the experimenter manipulates and is assumed to have a direct effect on the dependent variable.
What is a dependent variable?
What the experimenter measures after making changes to the IV.
What are extraneous variables? Name the three types and give examples of each.
EV’s are other variables apart from the IV that affect the DV. The three types are participant, situational and researcher.
Participant- tiredness, age, food and drink intake, personality, order effects, demand characteristics.
Situational- temperature of room, time of day, noise levels, order effects, demand characteristics.
Researcher- tone of voice, body language, personality, bias, demand characteristics.