Lecture 2 - Research Design Flashcards

1
Q

What is a research aim?

A

• A statement describing the purpose of the study
• A short, concise “catchy” re-statement of the research topic or theme

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2
Q

What is a research question?

A

• What the study aims to answer after data analysis and interpretation

• Must be specific and concise to provide a clear foundation for the hypotheses

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3
Q

What are the three types of research questions?

A

• Descriptive

• Comparative

• [UNFINISHED]

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4
Q

Describe and give an example of a descriptive research question

A

• Present variables to measure or analyse

• “What is the proportion of elite triathletes who take vitamin supplements?”

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5
Q

Describe and give an example of comparative research questions

A

• Clarifies the difference in an outcome variable between two or more groups

• Compares the effects of variables or interventions

• “Is there a difference between males in females in reaction time?”

• “Is quadriceps power improved more by resistance training or sprint training?”

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6
Q

Describe and give an example of [?] research questions

A

• Defines trends, associations or interactions between variables

• “Is there a relationship between number of exams and perceived stress levels among undergraduate students?”

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7
Q

What are the two acronyms for criteria for good research questions?

A

• FINER

• PICOT

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8
Q

What does the FINER acronym stand for?

A

• Feasible - appropriate number of participants and technical expertise, affordable in time and money, and manageable in scope

• Interesting - getting the answer intrigues the investigator, peers and the community

• Novel - confirms, refutes or extends previous findings (or discovers something new)

• Ethical - consistent with the standards that will lead to ethical approval

• Relevant - to scientific knowledge and/or applied practice

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9
Q

What does the PICOT acronym stand for?

A

• Population - what specific group are you interested in?

• Intervention - what is the intervention you are investigating (if it’s an intervention study)

• Comparison - what is the alternative to compare with the intervention?

• Outcome - what do you intend to accomplish, measure, improve or affect?

• Time - what is the appropriate follow up time to assess the outcome?

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10
Q

What is a research objective?

A

• Objectives define specific aims and explain how the overall aim is achieved

• Translates the overall aim into operational statements, tells the reader how the overall aim will be achieved, and may even specify how a variable is measured if this is important

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11
Q

What is a research hypothesis?

A

A specific, clear and testable statement about the possible outcome of a study

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12
Q

What are the two traditional hypotheses?

A

• Null hypothesis

• Alternate hypothesis

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13
Q

What are the six types of research hypotheses?

A

• Simple

• Complex

• Directional

• Non-directional

• Associative

• Causal

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14
Q

What is a simple hypothesis?

A

It predicts the relationship between a single dependent variable and a single independent variable

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15
Q

What is a complex hypothesis?

A

Predicts the relationship between multiple dependent and independent variables

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16
Q

What is a directional hypothesis?

A

Identifies the direction of the relationship between variables

17
Q

What is a non-directional hypothesis?

A

Does not specify a direction of effect (intentionally)

18
Q

What is an associative hypothesis?

A

Change in one variable is associated with change in another (but may not be causal)

19
Q

What is a causal hypothesis?

A

Manipulating the independent variable will change the dependent variable

20
Q

Why is research design important?

A

• To provide a framework of methods and techniques

• Enables research to be conducted in a structured way

• Research design tells us “how” a study is conducted

21
Q

What is the difference between an observational study and an experimental study?

A

• Observational studies have no intervention whereas experimental studies involve an intervention

• Observational studies provide information on associations between an ‘exposure’ and an ‘event’ or ‘characteristics’ of the population

• Experimental studies allow for the determination of cause and effect if the study is designed appropriately

22
Q

What are the differences between cross-sectional and longitudinal studies?

A

• Cross-sectional studies assess a phenomenon at one point in time, whereas longitudinal studies assess a phenomenon at several points in time

• CS measure different samples/populations whereas longitudinal ensure the same sample/population over time

• CS provides a snapshot of a given point in time, whereas longitudinal provides information on change at an individual level

• CS examines trends and changes at a societal/national/international level whereas longitudinal examines changes in the same people over time

23
Q

What is retrospective design?

A

Backwards looking - examine data that already exists

24
Q

What is prospective design?

A

Forward looking - collects new data, then sometimes watch/wait

25
Q

What is a case control study?

A

• Usually retrospective (but not exclusively)

• “Cases” have the outcome (e.g. heart disease)

• “Controls” do not have the outcome

26
Q

What is a randomised controlled trial?

A

• Forward looking (prospective)

• Participants are randomised into a “control” or “intervention” group

• Follows group over time to determine a difference in outcomes

27
Q

What are the three criteria for randomised controlled trials to prove cause and effect?

A

• The cause must precede the effect

• The cause and effect must be correlated

• The correlation between cause and effect cannot be explained by another variable

28
Q

What are the threats to internal validity in a randomised controlled trial?

A

• History - an unintended event during the study has an influence

• Maturation - processes within participants that happen due to time

• Testing - learning effect of multiple testing (e.g. scoring higher in cognitive function test second time)

• Instrumentation - changes in instrument calibration, staff performing procedures differently

• Statistical regression - non-random selection (e.g. self report or measurements) lead to values that are less extreme

• Selection bias - non-random selection or a specific condition biases the study and may explain the results

• Experimental mortality - loss of participants

• Selection-maturation interaction - if key variables interact with time and if one group is fated more than another

• Expectancy - experimenters expect one group to perform better

29
Q

What are the threats to external validity in a randomised controlled trial?

A

• Reactive or interactive effects of testing - any pre testing makes the intervention more effective

• Interaction of selection bias and treatment/intervention - when a group is selected for a particular characteristic and the treatment only works with these participants

• Reactive effects of experimental treatment - the treatment/intervention only works under controlled laboratory conditions and may not be effective in the real world

• Multiple treatment interference - when participants receive more than one treatment/intervention and the effects of the other treatment affects the results

30
Q

What is internal validity?

A

Whether the study design, conduct and analysis answer the research question without bias

31
Q

What is external validity?

A

Whether the study findings can be generalised to other contexts

32
Q

What can you do to control threats to internal validity?

A

• Randomisation

• Placebo controls

• Blinding

33
Q

What can you do to control threats to external validity?

A

• Randomisation

• Selecting tests, interventions and participants that are representative and generalisable

34
Q

What is a quasi-experimental design?

A

An intervention study that does not randomise participants and/or have a control group

35
Q

What are feasibility studies?

A

• Research done before a main study to determine whether the methods are feasible and acceptable

36
Q

What are pilot studies?

A

A small-scale study conducted prior to a large-scale experiment to test and refine procedures

37
Q

What is epidemiology?

A

The study of the occurrence and distribution of health-related events, states, and processes in specified populations, including the study of the determinants influencing such processes, and the application of this knowledge to control relevant health problems

38
Q

What are the ways to assign people to groups?

A

• Random assignment - randomly allocate participants to different study groups

• Random matched assignment - considering a participant characteristic

• Intact groups - not randomising (if it’s not possible - there are post-hoc justifications)