U1 Definitions Flashcards

1
Q

Pattern

A

Observable features of the natural world that occur repeatedly

–> Based on observation (the “what”)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Processes

A

Include the causes of a pattern

–> Based on inferences, logic, deduction, and explanation (the “why”)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Law

A

A descriptive generalization about the world (the what):

–> Repeated patterns (“what happens”)
–> “Cookbook science”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Theory

A

Explanations for the laws (the why):

–> Well substantiated explanation of some aspect of the natural world

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Explanation

A

Causal accounts of why something happens (doesn’t always become a theory)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Model

A

A tool built using observations and inferences that advances understanding and helps to build an explanation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Hypothesis

A

Testable statements (can be shown to be supported or falsified)

–> Used to test if the model is supported or not

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Prediction

A

Will always have a TIME element

(when, will, if, then)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Order of Reasoning

A

Observation + Inferences = Model

Model –> Hypotheses –> Test = Explanation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Characteristics of Good Scientific Model

A

1) Account for all data at hand
2) Predict the results of future tests
3) Be consistent with prior knowledge (logically consistent)
4) Advance understanding

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Physical Models

A

Build in the “real world”: Tangible

(EX: Organismal models –> Mice)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Conceptual Models

A

Drawings or diagrams that are used to advance understanding for the used of the model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Mathematical Models

A

Quantitative indicators using numerical symbols

(EX: computer simulations)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Association Study

A

Tests for relationships between variables (correlation)

–> No manipulation of variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Comparison Study

A

Tests for differences in one or more variables between 2+ conditions or groups

–> No manipulation of variables
–> No random assignment or control group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Causation (True) Experiment

A

Tests for a causal relationship by randomizing units to at least 2 conditions: treatment and control

–> Variables ARE manipulated

17
Q

Natural Experiment

A

Test that occurs in the “real world”

–> Variables are manipulated (by nature)

18
Q

Bounded Nature of Science

A

The idea that science isn’t able to test whether the supernatural exists

–> Science has limits

19
Q

Backward Looking Explanation

A

Uses history to explain a phenomenon

–> Origins, looking back in time

20
Q

Downward Looking Explanation

A

Go deeper (to smaller scales) to explain phenomena

21
Q

Upward Looking Explanation

A

Considering the entire organism and how the phenomenon relates to the organism itself

–> Larger scope/bigger context

22
Q

Characteristics of Strong Explanations

A

1) Specify the causes of a phenomenon

2) Include more than 1 type of explanation

3) Recognize that 1 type of explanation cannot adequately account for a biological phenomenon because many causes characterize most living systems

23
Q

Characteristics of Weak Explanations

A

1) Vague/Unclear about causes of mostly describe a phenomenon

2) Includes only 1 type of explanation

3) Involves mismatches between the question being asked and the explanation type

24
Q

Association Study Weakness

A

Correlation cannot show causation

25
Causation Experiment Weakness
1) Can show causal relationships but this may not explain the WHY yet 2) Cannot be conducted in many cases due to ethical issues
26
Natural Experiment Weakness
No controls --> Difficult to determine certainty that the event was the true cause of documented changes
27
Natural Experiment Strengths
1) Very realistic 2) Very diverse (nature does some things that we can't recreate)
28
Causes vs Mechanism
Causes = what brings about effects Mechanism = How the cause brings about an effect Cause ----- (Mechanism) ----> Effect
29
Explanation vs Description
Explanation = The why something happens Description = The what that happens
30
Proof
Has no meaning in science --> All science is tentative
31
Scientific Method
A myth or misconception: No single method all scientists use to conduct research
32
Argument
The use of claims, evidence, and reasoning to convince others
33
Inference
A conclusion reached on the basis of evidence and reasoning
34
Fact
A confirmed observation: Can change
35