Unit 1 - Research methodology Flashcards
What is the acronym for purpose of research?
What does the acronym stand for?
AIEI
* Advance knowledge
* Increase understanding
* Educate others
* Inform practice
What does advance knowledge mean in research?
- Helps a researcher to find out new information about a particular topic.
- Example - A researcher conducts a study to find out how the coronavirus started.
What does increase understanding mean in research?
- Helps a researcher to gain a greater appreciation/awareness as to why something occurs.
- Example - A researcher conducts a study to understand why crime occurs in society.
What does educate others mean in research?
- Helps a researcher to pass on knowledge/findings to others.
- Example - A researcher conducts a study to find out the causal factors of stress in the HSC and passes the information on to schools
What does inform practice mean in research?
- A new recommendation/law/policy/strategy is introduced as a result of research findings.
- Example - A researcher found that too many accidents were occurring in suburban areas due to speeding. Therefore the NSW government implemented a new law and changed the suburban street speed from 60km/hr to 50km/hr.
What are the three focus of research?
- Research Question
- Research statement
- Hypothesis
What is a research question and provide an example
- A research question asks whether a relationship exists between variables in a particular population.
- Example: Will using entertainment technologies everyday have an impact on the social wellbeing of school-age children?
- The relationship in this research question is between ‘entertainment technologies’ and ‘school-aged children wellbeing’
What is a research statement and provide an example
- Research problem statement presents the idea, issue or situation that the researcher intends to examine in their study.
- Example: Using entertainment technologies everyday has an impact on the social wellbeing of school-age children
What is a hypothesis and provide an example
- A hypothesis stipulates or predicts that a relationship among or between at least two variables in a given population exists.
- Example: Using entertainment technologies everyday can have a negative impact on the social wellbeing of a school-age children
What is the acronym for sampling?
What does the acronym stand for?
SMS
- Sample size
- Methods
- Sample group
What is sampling?
- Sampling is the process of choosing the people, place and time to collect primary data.
Why does a researcher use sampling?
- While it would be ideal to be able to choose a large group of people for research, this is often impossible due to constraints, such as limited time, money or even access to people.
- By choosing a smaller sample of people, we can hope that the findings can be extended to the entire group.
- Therefore, the most important characteristic of the chosen sample is that it covers a cross-section of the population and is representative of the group being considered.
What is the acronym for sampling methods?
What does the acronym stand for
Rigney Stole Some Cotton Candy
- Random sampling
- Systematic sampling
- Stratified random sampling
- Cluster sampling
- Conveience sampling
Explain how a researcher uses a random sampling method
- A random sampling method is when a researcher selects people so that everyone has an equal chance of being selected.
- Example - the weekly Oz Lotto draw is a random sample because every number has an equal chance of being selected.
- Example - A researcher wants to select a random sample of 100 employees of Company X. The researcher assigns a number to every employee in the company database from 1 to 1000 and uses a random number generator to select 100 numbers.
Explain how a researcher uses a systematic sampling method
- Systematic sampling method is when a researcher chooses one number at random and then every nth unit after this random start.
- Example - by randomly selecting 2, and 3 as the n number, you could choose house number 2 and then select every 3rd house after that in your street to deliver your questionnaire to.
- Example - A researcher is investigating physical activity levels in a school. All students from the school are listed in alphabetical order. The researcher randomly selects a number to start from e.g. 6. From number 6 onwards, every 10th person on the list is selected (6, 16, 26, 36, and so on), until the researcher ends up with a sample of 100 people.
Explain how a researcher uses a stratified random sampling method
- Stratified random sampling is when the researcher divides the population into strata (layers) groups and then random selection occurs within each strata.
- This means that the researcher can ensure that there is a more balanced representation in each of the strata groups, and that the groups can be compared with each other in similar proportions to the general population.
- This sampling method is appropriate when the population has mixed characteristics, and you want to ensure that every characteristic is proportionally represented in the sample. You divide the population into subgroups (stratas) based on the relevant characteristic (e.g. gender, age range, income bracket, job role).
- Example - A researcher is conducting a study on stress in the workplace. The company has 800 female employees and 200 male employees. The researcher wants to ensure that the sample reflects the gender balance of the company, so the researcher sorts the population into two strata based on gender. Then they use random sampling on each group, selecting 80 women and 20 men, which gives the researcher a representative sample of 100 people.
Explain how a researcher uses a cluster sampling method
- Cluster sampling method is when the researcher divides the population into clusters (subgroups) but each cluster should have similar characteristics to the whole sample and random selection is made within the clusters.
- Example - if the clusters are to be school roll-call groups, four roll call groups are selected at random and then the researcher chooses five students from each of these groups. A researcher using this method doesn’t need to choose a specific part of the population to take their sample from.
- Example - A researcher is conducting a study on Joey’s pizza restaurants. Joey’s Pizza has restaurants in 10 cities across the country (all with roughly the same number of employees in similar roles). The researcher doesn’t have the capacity to travel to every office to collect data, so the researcher uses random sampling to select 3 offices – these are the clusters.
Explain how a researcher uses a conveience sampling method
- Conveience sampling method is when a researcher selects people because they are easily located, such as friends in a Year 12 peer group, or family members. These results tend to have the lowest credibility, as they can be biased and are not representative of the population.
- Example - A researcher is conducting a study on people’s favourite pizza. The researcher decides to ask the first 10 people that walk through Mc Donald’s
What is a sample group?
- Is the specific group of individuals that you will collect data from.You can identify or decide where the sample group is to be chosen from, or where there is a list to draw from.
- For example, people from your neighbourhood or a specific community organisation, such as a child care centre.
What is a sample size?
- The sample size refers to the number of participants that are actually selected for the research study.
- The nature of your research proposal will indicate what is appropriate; however, a suitable sample size for an IRP questionnaire would be about 20–30 people.
- This may be complemented by two interviews, a case study or two to three observations.
What is the acronym for types of data?
What does the acronym stand for
PSQQ
* Primary
* Secondary
* Qualitative
* Quantitative
What is primary data?
- Primary data are original, and the questions that the researchers ask are tailored to elicit the data that will help them with the specific purpose of their research study.
- Primary data are collected firsthand from individuals or groups who have been questioned, surveyed, interviewed or observed. It tends to be expensive to conduct and takes a long time to process.
What are examples of primary data?
- Questionnaires
- Case studies
- Observations
- Interviews
What are advantages and disadvantages of using primary data in research?
Advantages
* Resolve specific research issues - information collected is exactly what the research wants to find out
* Better accuracy - data collected from targeted population
* Higher level of control over how the information is collected
* Up to date information
Disadvantages
* Not always possible - research can be too large to conduct
* Time consuming - collecting and analysing data
* Can have a lot of limits e.g. specific time, place, number of participants
* More expensive
What is secondary data?
- Secondary data are based on the findings of other people’s research and found in reports, records or statistical information that were gathered and recorded by someone else.
- Secondary data tend to be readily available, are usually less expensive to obtain and can be analyzed in less time.
- However, because such data were collected for a different purpose, they must be scrutinized well to find the relevant information.
What are examples of secondary data?
- Journal articles
- Books
- Case studies
- Articles
What are advantages and disadvantages of using secondary data in research?
Advantages
* Ease of access - information is readily available e.g. internet
* Low cost or free
* Time-saving - e.g. google search
* Large sample size
Disadvantages
* Not specific to your needs - information was collected in the past for another reason
* Lack of control over data quality - reliability and validity of data
* Biasness - data collected by someone else than you, typically the data is biased in favour of the person who gathered it
* Out of date
What is qualitative data?
- Qualitative data is subjective data that comes from research that collects facts and information regarding people’s beliefs, feelings, attitudes and opinions to gain insight into the area.
What are common research methods that use qualitative data?
- Observations
- Interviews
- Case studies
Why does a researcher use qualitative data?
- Subjective data can provide words and images to help us understand more about the ‘why’ and ‘how’ of a situation and give examples to fill in the details.
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Qualitative methodologies are useful when you want to:
* Compare people’s opinions or ideas
* Illustrate the positive and negative effects of something
* Present arguments for and against something
* Support quantitative data studies
NOTE: Qualitative data is used to support quantitative data findings
What is quantitative data?
- Quantitative data is objective data that come from research that collects facts in the form of numerical data, which can then be analyzed using counting, measuring and graphing.
What are common research methods that use quantitative data?
- Questionnaires
- Surveys
- Experiments
Why does a researcher use quantitative data?
- Objective data can provide a good outline of ‘what’ is happening in a situation. It is more objective and reliable, and subject to less bias than qualitative research.
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Quantitative methodologies are useful when you want to:
* Show percentages or ratios
* Compare numbers in text
* Visually represent the amounts or levels of something in tables or graphs
NOTE: Qualitative data is used to support quantitative data findings
What is the acronym for sources of data?
What does the acronym stand for?
DPIG or Digital PIG
* Digital
* Print
* Individual
* Group