Research Methodology Flashcards
The purpose of research, (E.g. advance knowledge, increase understanding, educate others, inform practice)
- Advance Knowledge: Research explains things (what, when, why, how)
- Increase Understanding: Research can find new info, increase knowledge of topic, experience etc
- Educate Others: Data results used in education programs
- Inform Practice: Research results may be used to develop preventative strategies
Research Question
- Does relationship exist between variables?
- E.g. Will using entertainment technologies have an impact on the social wellbeing of school aged children?
Hypothesis
- Problem, question, statement that will be tested through research; researcher discovers if hypothesis is true or not.
- E.g. Using entertainment technologies every day will have a negative impact on the social wellbeing of school aged children.
Sampling Methods, Sample group, Sample size definitions
- Sampling: The process of choosing the people, place and time to collect primary data
- Individuals selected included as representative of total pop who form focus of study
- Large group is ideal, but not always possible (limited time, money, access to people)
Simple random sampling
- People have equal chance of being selected, free from bias
- Drawing names out of a hat of who to interview
Systematic random sampling
- Selecting one person on random basis and choosing others at evenly spaced intervals until number desired.
- Selecting house number 2 and every 3rd house in street after that to distribute questionnaire to
Cluster sampling
- Divide pop into clusters and then random selection in cluster
- Each high school in Western Sydney is cluster. Interviewing teachers from 5 schools in this cluster
Convenience sampling
- Selecting people from pop who are easy to access. Saves time, money, effort.
- Bias, unreliable. Relevant data may not be collected
- Interview 1st 10 people you meet, or select 10 closest friends to interview
Stratified random sampling
- Pop divided into strata (layers) and then random selection in each strata
- Group A= people with less than 5 yrs of education
- Group B= people with 5-10 yrs of education
- Group C= people with 10-15 years of education
(Stratified sample obtained by selecting simple random sample from each group)
Primary data
- Collecting ‘new’ data that does not exist before research is undertaken.
- E.g. Researcher interviews to collect data. Data not previously collected and interpreted
Secondary data
- Collecting data from existing research and interpreting (look for recurring arguments, themes, conclusions)
- Might be collected from books, journals etc
Qualitative data
- Data that includes opinion, responses and reflection
Quantitative data
- Can be measured (e.g. statistics)
- Ideal for researcher who wants info easily categorised (E.g. Male/Female data)
Strengths and weaknesses of quantitative data
Strengths:
- Objective, reliable, specific
- Less subject to bias
Weaknesses:
- Only states facts/figures (not opinions/feelings)
Strengths and weaknesses of qualitative data
Strengths:
- Produce large amount of info
- Provide new perspectives/beliefs from others
Weaknesses:
- Susceptible to bias from researchers own values and interpretations
- More subjective
Individuals
- Provide current, real time data, provide data from their experiences
- E.g. family, friends, experts, specialists, neighbors
- E.g. Essay on eating disorders may interview a specialist
Groups
- Provide current, real time data. Data of their actions/ works being recorded and analysed.
- Can be professional organisations, not for profit groups, specialist groups, medical authorities, government agencies
- E.g. Police (Govt agency) is source of data as number of crimes they have stopped can be analysed by individuals