casual reasoning continued Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q
  1. Describe experimental trials
A

Experimental studies are ones where researchers introduce an intervention and study the effects. Experimental studies are usually randomized, meaning the subjects are grouped by chance.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q
  1. Describe bias and the effect it can have on an experiment
A

Sample bias can occur if the scientist or researcher fails to consider whether the sample, they are examining is truly representative of the population they wish to investigate. It is not always possible to eliminate sample bias in an investigation, what is more important, however, is that the scientist acknowledges these possible sources of sample bias when they report their results so that those reading the report can make informed decisions with this in mind

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q
  1. What is randomisation?
A

A method based on chance alone by which study participants are assigned to a treatment group. Randomization minimizes the differences among groups by equally distributing people with particular characteristics among all the trial arms. The researchers do not know which treatment is better. From what is known at the time, any one of the treatments chosen could be of benefit to the participant.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q
  1. What is a placebo?
A
  • It is an inert or pharmacologically mild ‘medicine’ often had a positive impact in a patient’s health and wellbeing
  • The false treatment is named placebos
  • Commonly used in trials for medical treatments and variations of placebos are often used in experimental trials that have many subjects
  • The mere expectation of an effect can results in the supposed effect being overreported and in extreme cases can result in physiological changes even when no active treatment is given
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q
  1. What are double- blind trials?
A

Double- blind trials are when even the administrator is unaware of the treatment a particular participant will receive.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q
  1. What are controlled experiments?
A

Controlled experiments must have a hypothesis, control group, intervention group, randomised selection, blinding and a placebo.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q
  1. What are the advantages and disadvantages of observational studies?
A

Observational studies are ones where researchers observe the effect of a risk factor, diagnostic test, treatment or other intervention without trying to change who is or isn’t exposed to it. Cohort studies and case control studies are two types of observational studies. Useful when RCT is unethical. Can utilise existing data. Easy to attain large sample sizes. Disadvantages include that there is no control for confounding variables.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q
  1. What are the advantages and disadvantages of experimental studies?
A

advantages:

  • gain insight into methods of instruction
  • intuitive practice shaped by research
  • teachers have bias but can be reflective
  • researcher can have control over variables
  • humans perform experiments anyway
  • can be combined with other research methods for rigor
  • use to determine what is best for population
  • provides for greater transferability than anecdotal - research

disadvantages:

  • subject to human error
  • personal bias of researcher may intrude
  • sample may not be representative
  • can produce artificial results
  • results may only apply to one situation and may be difficult to replicate
  • groups may not be comparable
  • human response can be difficult to measure
  • political pressure may skew results
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q
  1. Outline randomised controlled trials
A

Eligible people are randomly assigned to one of two or more groups. One group receives the intervention (such as a new drug) while the control group receives nothing or an inactive placebo. The researchers then study what happens to people in each group. Any difference in outcomes can then be linked to the intervention.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q
  1. What are retrospective studies?
A

Starts with a random sample of human beings and divide them into two groups. One exhibiting the suspected effect, one not. See if there is a difference in rate of exposure to the suspected cause between the two groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q
  1. What are prospective studies?
A

Prospective studies are when a random ample of human beings are split into two groups one exposed to the suspected cause and ne not. See if there is a difference in rate of suspected effect over time between the two groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q
  1. What are case control studies?
A

Case-Control studies are usually but not exclusively retrospective, the opposite is true for cohort studies.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q
  1. What are cohort studies?
A

Cohort studies are usually but not exclusively prospective, the opposite is true for case-control studies.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q
  1. Outline confounding variables
A

A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. They can suggest there is correlation when in fact there isn’t. They can even introduce bias. That’s why it’s important to know what one is, and how to avoid getting them into your experiment in the first place. If an extraneous variable is casual and correlated with the independent variable in the study it is a confounding variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q
  1. What is the mechanism of reasoning?
A

Event/ pandemic occurs, gap of detected knowledge, field of research becomes trendy, dramatic increase of funding and scientific effort on the field, lack of knowledge is a cyclical process and form the fundamentals of research mechanism.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q
  1. Describe abductive reasoning?
A

Abductive reasoning typically begins with an incomplete set of observations and proceeds to the likeliest possible explanation for the set. Abductive reasoning yields the kind of daily decision-making that does its best with the information at hand, which often is incomplete.

17
Q
  1. Describe deductive reasoning?
A

Deductive reasoning starts with the assertion of general rule and proceeds from there to a guaranteed specific conclusion. Deductive reasoning moves from the general rule to the specific application: In deductive reasoning, if the original assertions are true, then the conclusion must also be true.

18
Q
  1. Describe inductive reasoning?
A

Inductive reasoning begins with observations that are specific and limited in scope, and proceeds to a generalized conclusion that is likely, but not certain, in light of accumulated evidence. You could say that inductive reasoning moves from the specific to the general. Much scientific research is carried out by the inductive method: gathering evidence, seeking patterns, and forming a hypothesis or theory to explain what is seen.

19
Q
  1. What is bidirectional casualty?
A

A causes B, and B causes A

20
Q
  1. What are casual loops in compel processes?
A

Theoretical proposition in which, by means of either retro causality or time travel, a sequence of events (actions, information, objects, people) is among the causes of another event, which is in turn among the causes of the first-mentioned event.

21
Q
  1. Outline casual relevance in terms of complex processes?
A

Using causal sufficiency, we can define one concept of causal relevance: Definition 2a A variable X is causally relevant to a subsequent variable Y if there is a family of variables A, which also precede Y, such that AX is causally sufficient for Y, but A alone is not.

22
Q
  1. Outline casually necessary conditions in terms of complex processes?
A

To say that X is a necessary condition for Y is to say that the occurrence of X is required for the occurrence of Y (sometimes also called an essential condition). In other words, if there is no X, Y would not exist.

23
Q
  1. What is the analysing scheme for scientific results?
A

Hypothesis of interest, null hypothesis, population of interest, sample, design, results and evaluation

24
Q
  1. What is a hypothesis of interest?
A

State the hypothesis under evaluation (H1), state the independence and dependent variables and note whether the hypothesis is clearly formulated.

25
Q
  1. What is a null hypothesis?
A

A null hypothesis is a hypothesis that says there is no statistical significance between the two variables. It is usually the hypothesis a researcher or experimenter will try to disprove or discredit.

26
Q
  1. What is a population of interest?
A

State what population the study is about? Is the population a clearly defined group?

27
Q
  1. What is a sample in an experiment?
A

State sample population size and composition. Is the sample representative? Was the sampling process random? Identify potential sources of bias in the sample

28
Q
  1. How do you evaluate a study?
A

How powerful is the study? Is the result practically significant? And How could the study be improved?