Midterm 1 Flashcards

1
Q

What is causality?

A

Causality refers to the relationship between cause and effect.

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2
Q

What does causality imply?

A

Causality implies that one event (the cause) leads to the occurrence of another event (the effect).

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3
Q

Types of peer reviewed papers

A
  • empirical
  • theoretical
  • general reviews
  • commentaries, responses
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4
Q

What is the primary purpose of the peer review process in academic publishing?

A

To evaluate the quality, validity, and significance of a manuscript before publication.

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5
Q

What feedback might reviewers provide during the peer review process?

A

They may suggest revisions, identify errors, or recommend acceptance or rejection of the manuscript.

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6
Q

What is the primary purpose of publishing research?

A

To disseminate knowledge and findings to the scientific community and the public.

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7
Q

True or False: Peer review is an essential step in the research publishing process.

A

True

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8
Q

Parts of a research paper

A
  • introduction
  • method
  • results
  • discussion
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9
Q

What is the primary purpose of inferential statistics?

A

To make generalizations or predictions about a population based on a sample.

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10
Q

What is an example of inferential statistics?

A

Estimating a population mean from a sample mean

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11
Q

statistical inference

A

set of techniques for drawing conclusions from a sample to the population the sample came from

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12
Q

sampling error

A

variation caused in sample statistics by using different samples

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13
Q

What is the primary cause of sampling error?

A

Sampling error is primarily caused by the natural variability in populations.

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14
Q

True or False: Sampling error can be completely eliminated.

A

False

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15
Q

How can researchers minimize sampling error in their studies?

A

Researchers can minimize sampling error by using a larger sample size and ensuring random sampling methods.

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16
Q

What is the definition of sample size in research?

A

Sample size refers to the number of observations or replicates included in a statistical sample.

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17
Q

True or False: A larger sample size generally leads to more reliable results.

A

True

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18
Q

What is the relationship between sample size and the confidence interval width?

A

As sample size increases, the width of the confidence interval decreases.

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19
Q

What is the definition of margin of error?

A

The margin of error is a statistic expressing the amount of random sampling error in a survey’s results.

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20
Q

True or False: A smaller margin of error indicates more precise survey results.

A

True

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21
Q

What factors can affect the margin of error in a survey?

A

Sample size, population variability, and confidence level.

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22
Q

random sampling

A

selecting people randomly from a population to form a sample

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23
Q

convenience sampling

A

a practically achievable sample from the population

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24
Q

sample statistics

A

statistics calculated from a sample data

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25
Q

population parameters

A

unknown and unobserved

26
Q

epistemic uncertainty

A

uncertainty due to lack of knowledge

27
Q

aleatory uncertainty

A

uncertainty due to randomness

28
Q

What is replication in research?

A

Replication in research refers to the process of repeating a study to see if the original results can be obtained.

29
Q

Fill in the blank: Replication helps to establish the ________ of research findings.

30
Q

What are the two main types of replication?

A

Direct replication and conceptual replication.

31
Q

What is a direct replication?

A

A direct replication involves repeating the exact study with the same methods to see if the results are consistent.

32
Q

What role does replication play in the scientific method?

A

Replication serves to verify results and strengthen the reliability of scientific claims.

33
Q

Fill in the blank: A successful replication study can help to reduce ________ in scientific research.

34
Q

What is open science?

A

Open science is a movement aimed at making scientific research, data, and dissemination accessible to all levels of society.

35
Q

What are the key principles of open science?

A

The key principles include openness, transparency, collaboration, and reproducibility.

36
Q

What is the primary purpose of a meta-analysis?

A

To combine results from multiple studies to obtain a more precise estimate of the effect size.

37
Q

What is one potential limitation of meta-analysis?

A

The quality of the meta-analysis is dependent on the quality of the included studies.

38
Q

What is an independent variable?

A

An independent variable is a factor that is manipulated in an experiment to observe its effect on a dependent variable. (the predictor)

39
Q

What is a dependent variable?

A

A dependent variable is the variable in an experiment or study that is measured and is affected by changes in the independent variable. (the outcome)

40
Q

How does the dependent variable relate to the independent variable in an experiment?

A

The dependent variable is the outcome that is measured and is expected to change as a result of variations in the independent variable.

41
Q

non experimental designs

A

designs that don’t use random assignment

42
Q

experimental designs

A

random assignment is considered to be gold standard for researchers to infer causality because of its ability to rule out alternative explanations

43
Q

causality

A
  • x must precede y in time
  • x must be reliably correlated with y
  • the relation between x and y must not be explained by other causes
44
Q

What is a counterfactual argument?

A

A counterfactual argument is a reasoning process that explores what could have happened if certain conditions were different from what actually occurred.

45
Q

What is the primary purpose of using counterfactuals in argumentation?

A

The primary purpose is to evaluate causality and understand the impact of different actions or events.

46
Q

internal validity

A

the degree to which we can draw conclusions about casual relationships in our data

47
Q

Name one method researchers use to enhance internal validity.

A

Random assignment

48
Q

operational definitions

A

specification of hoe something is being measured

49
Q

construct definitions

A

explanatory variables not directly observable

50
Q

Nominal scale

A

a numerical representation based on already known or identifiable attributes

51
Q

ordinal scale

A

produce ranks, people are ordered based in amounts of an attribute they possess

52
Q

interval scale

A

measure of quantity with arbitrary zero, assumes equality of intervals

53
Q

ratio scale

A

quantity with absolute zero, allow additivity and are multiplicative

54
Q

classical test theory

A

x = T + E
observation = true score + error

55
Q

skewness

A

refers to the asymmetry of a distribution, can be positive or negative

56
Q

kurtosis

A

indicates the “tailedness” of distributions
> platykurtic
> leptokurtic
> mesokurtic

57
Q

platykurtic

A

less tail, less peak (< 3)

58
Q

leptokurtic

A

more tail, more peak (> 3)

59
Q

mesokurtic

A

normal distribution (=3)

60
Q

mean

A

the simple average

61
Q

median

A

the value where half of the data points lie above and below

62
Q

mode

A

the most frequent data value