Scientific Methods - 2024-2025 (Quantitative research)

Questions for the course "Scientific Methods" with the topic: Quantitative research (lecture 8).


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Questions in the quiz (36)


What are some of the typical quantitative research methods?

  • Surveys

  • Experiments

What research design does a survey cover?

  • Qualitative

  • Quantitative

What is a survey?

  • An organized method of obtaining data from participants via written or oral questions

  • It is a comprehensive system for collecting information

What types of surveys does their exist?

  • Supervised

  • Semi-supervised

  • Unsupervised

What does supervised surveys mean?

  • Interviwer administers the servey togheter with the participants

  • Ofte telephone

  • Can be one-to-one

  • Can be a group

What does Semi-supervised surveys mean?

  • Interviewer explains the survey, often through example questions, but let the participant fill out the survey themselves

What does unsupervised surveys mean?

  • Interviewer are not present

  • Often web-based

  • Often paper-based

What are some of the research objectives, when performing a survey?

  • Explain

  • Describe

  • Measure a frequency

  • Evaluate a characteristic of a population

  • Discover a factor that affect the characteristics of a population

What should you consider when designing a survey?

  • Multiple people should be in the creation process

  • If you should measure descriptive

  • If you should measure behavioural

  • If you should measure attitudinal

  • Allignment with RQ

What are some things that could be included in the survey, to increase motivation?

According to Kitchenham and Pfleeger, 2008

  • What the purpose of the study is

  • Why it should be of relevance to them

  • Why each individual's participation is important

  • How and why each participant was chosen

  • How confidentiality will be preserved

  • Try to offer a benefit

How can you test a survey, before deploying it?

According to Kitchenham and Pfleeger, 2008

  • Piloting

  • A focus group

  • Using representative of your sample population

  • Using people who might use the results

What are some of the advantages of using a survey?

  • Quickly gather large amount of data

  • Cheap

  • Quick

What are some of the disadvantages of using a survey?

  • Complex to design

  • Competetive market

What is an experiment?

  • A scientific procedure undertaken to make a discovery, test a hypothesis, or demonstrate a known fact

What two types of variables are there in experiments?

  • Independent

  • Dependent

What are typical types of experiments in Software engineering?

  • Quasi-experiments

  • Controlled experiments

What does Quasi-experiments mean?

  • An experiment that does not have random assignment

  • An experiment that does not have a control group

  • Types of members are equally distributed in groups

What are the steps in the experimental process?

  • Scoping

  • Planning

  • Operation

  • Analysis and interpretation

  • Presentation and package

When defining experiment scoping, what are the questions to be answered?

  • What is studied? (Analyse)

  • What is the intention? (Purpose)

  • Which effect is studied? (Quality focus)

  • Whose view? (Perspective)

  • Where is the study conducted? (Context)

What are the steps in experiment planning?

  • Context selection

  • Hypothesis formulation

  • Variables selection

  • Slection of subjects

  • Choose design type

  • Instrumentation

  • Validity evaluation

What are some common principles for experiment design?

  • Randomization - Pick subjects randomly

  • Blocking - Eliminate undesired effect of a factor

  • Balancing - Each treatment is applied equally

What are types of subject assignments to treatments in experiments?

  • Between subjects

  • Within subjects

When using "Within subjects" slection of subjects, what is it important to be aware of?

  • Mixing the ordering

  • Ordering can affect the results

Is bewtween subjects more statistically powerful than within subjects?

  • No, but the opposite is true

What's the benefits of using between subjects?

  • Minimize the learning and transfer across conditions

What's the benefits of using within subjects?

  • Removes individual variation

How can you make sure, that you can trust the result of the experiment (Validity evaluation)?

  • Inspect instruments, and ensure no errors

  • Variables represents the concepts from theory

  • Carefully select subjects

  • Choose analysis method carefully

  • Ensure to acknowledge, that the results are not generalizable

What are common types of quantitative data analysis?

  • Descriptive statistics

  • Inferential statistics

What does descriptive statistics do?

  • Summarize the data

  • Measure tendency

  • Measure variability

  • Measure outliers

  • Measure skewness

What does inferential statistics do?

  • Make inferences about a population based on a sample

  • Test hypothesis

  • Estimate parameters

Is there a difference in the tests that can be used, based on the normality of the data?

"Normality" refers to normal distribution.

  • Yes, not all tests can be done, if there is a large skewness in the data

What type of hypothesis testing is there?

Referring to hypothesis testing in experiments

  • Parametric

  • Non-parametric

What does parametric test entail in hypothesis testing?

Referring to hypothesis testing in experiments

  • Assumes normal distribution

  • Data is interval or ratio

What does non-parametric test entail in hypothesis testing?

Referring to hypothesis testing in experiments

  • Does not assume normal distribution

  • Data is ordinal

What does a low p-value mean?

  • Strong evidence against the null hypothesis

  • Reject the null hypothesis

Can you accept a hypothesis?

  • No, you can only reject or fail to reject