Scientific reasoning and hypothesis generation Flashcards

1
Q

Scientific method

A

It is the sequence of steps pre-established by a discipline in order to achieve valid knowledge through reliable instruments.

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2
Q

Steps in scientific method

A

Observation
Hypothesis
Experimentation
Data analysis
Conclusion

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3
Q

Observation

A

The observation of a phenomenon generates doubts and leads us to ask a research question: Why does it happen? How does it happen? What factors affect it?

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4
Q

Hypothesis

A

It is an idea which may explain the phenomenon that we don’t understand and that we have to check through experimentation.

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5
Q

Importance of hypothesis

A

Hypotheses are powerful tools for the advancement of science, consistent with existing knowledge and conducive to further enquiry. A hypothesis is considered valuable even if proven false.

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6
Q

How do we formulate a hypothesis

A

We need a preliminary review of the existing literature regarding the research topic. The rationale should show that the proposed research is the next logical step, addressing the limitations of previous works.

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7
Q

Importance of the background knowledge

A

• Avoid unnecessary efforts to do something already done
• Prevents mistakes made in previous studies
• Advice on how the study should be conducted

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8
Q

Construction of the observations leading to the formulation of hypothesis and objectives

A

Contextualization -> available evidence -> current best solution / approach -> gap of knowledge -> hypothesis

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9
Q

Considerations to formulate a compelling hypothesis

A

• State the problem that you are trying to solve.

• Phrase a testable hypothesis that includes the specific group being studied.

• Identify the relevant variables; if applicable, define the variables since a hypothesis proposes and examines the relationship between an independent and a dependent variable.

• Phrase the predicted outcome of the work. In some cases, the hypothesis can be formulated as an “if-then-because” statement.

• In scientific research, hypotheses are commonly phrased in terms of correlations or effects, where the predicted relationship between variables can be directly stated.

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10
Q

Tips for writing a good hypothesis

A

• Make a thorough bibliographic search.
• The question comes first.
• A hypothesis is a statement, not a question.
• Make it clear.
• Keep the variables in mind.
• Ensure your hypothesis is “testable”.
• Circumscribe your research field.

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11
Q

Characteristics of strong hypotheses

A

• Are based on a well-founded rationale.
• Give clear insight in to the proposed research.
• Are developed directly from prior experience.
• Are simple and concise.
• Are measurable and testable.

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12
Q

Experiment

A

To confirm the hypothesis, an experiment must be carried out. To do so, we have to choose very carefully our experimental design defining the type of experiment, settling very clearly the objectives of our study

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13
Q

Characteristics of a well-worded objective

A

SMART

(specific, measurable, attainable, relevant/realistic, and time-bound)

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14
Q

Types of objectives

A

General objectives
Specific objectives

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15
Q

General objectives

A

Broad goals to be achieved stating the actions to be carried out to attain them. The general objective is met by accomplishing the specific objectives.

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16
Q

Specific objectives

A

Narrower in focus and break into small logically connected parts. They are more in nº and systematically address the various aspects of the research topic. They specify what the researcher will do, where and for what purpose.

17
Q

The main and secondary objectives should be

A

Clear and concise

18
Q

Tips to consider when developing research objectives

A
  1. They should be presented briefly, concisely and in a coherent way.
  2. They should be presented in logical sequence.
  3. They should be realistic.
  4. They should be clearly phrased in operational terms.
  5. They should use action verbs that are specific enough to be evaluated or measured.
  6. They should be static once the study work begins.
19
Q

Obtaining data

A

• Methodical
• Avoiding bias
• Randomized
• Reproducible (follow laboratory protocols)

20
Q

Data analysis

A

• Statistical analysis
• Presentation of the results (tables and figures)
• Data discussion

21
Q

Conclusion

A

Through the analysis of the experimental evidence obtained, we will conclude answering the question posed.

22
Q

Characteristics scientific method

A

If it is not published it doesn’t exist”
Dynamic process -> our conclusion opens new questions.

23
Q

Limitations scientific method

A

• Dogmas do not exist
• It is fragmentary
• It is self-correcting. No explanation is the last

24
Q

Statistics

A

Methods and procedures for collecting, classifying, summarizing, finding regularities and analyzing DATA; and making inferences from them, in order to make PREDICTIONS

25
Q

Biostatistics

A

Statistical methods applied to problems raised in BIOMEDICAL SCIENCES

26
Q

Epidemiology

A

The science concerned with the study of factors determining and influencing the frequency and distribution of disease, injury, and other health-related events and their causes in a defined human population

The study of WHO has WHAT, WHEN, WHERE and WHY

27
Q

Epidemiology allows to

A

Describe health phenomena
Raise study hypotheses
Design the most appropriate health studies
Critically appraise health results
Analyze the validity of medical procedures

28
Q

Public health (PH) actions include

A

Health protection (control of the environment and its biological, physical and chemical agents)

Disease prevention (individual / collective measures of 1º and 2º prevention).

Health restoration (treatment, rehabilitation, reinsertion)

Health promotion (education)

29
Q

Primary prevention

A

It seeks to avoid the appearance of diseases; for example, by vaccination

30
Q

Secondary prevention

A

Is aimed at detecting diseases as early as possible, when there are no symptoms yet, thus facilitating an intervention that delay or prevents the evolution of the disease.

31
Q

Steps in biomedical research (esquema)

A