Nature Of Science Flashcards

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1
Q

Hindsight Bias

A

Using benefit of hindsight to confirm what we believe

Makes common sense unreliable

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2
Q

Why is logic unreliable

A

Is can tell us how something should work, but not how and if it actually does.

Eg. Which falls faster? A basketball or bowling ball?

  • We would think a bowling ball, however, when tested, they both took the exact same amount of time.
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3
Q

What are the limits of observation

A

Knowledge of the world comes through our 5 senses, but our senses can be fooled… or the brain may perceive and process sensory information different from person to person

People tend to generalize what they perceive in one situation and apply it to other similar situations

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4
Q

Scientific Principles in Psychology

A
  • Relies on systematic empirical methods of observation.
    1) cumulative: science progresses and advances cumulatively; the knowledge base builds on itself.

2) process more than product: an active enterprise. It is a way of exploring how the world works, understanding cause of events, and predicting what might happen under similar conditions in the future.
- it is the process of gaining knowledge that is ever changing, relatively reliable, but always imperfect.

3) an attitude: a way of thinking.
- it involves cognitive skills required to generate, test, and revise theories
- what we believe/theorize about the world and what the world actually like are two different things
- scientists remember that believe is not reality.

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5
Q

Hallmarks of critical and scientific reasoning.

A
  • Question authority. Be skeptical. Test ideas.
  • Doubt and skepticism are hall makers of critical and scientific reasonings.
  • intellectual honesty: must accept the data in whatever form it presents.
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6
Q

Scientific Method: Observe

A
  • this is the first step
  • must examine previous research finding, make a personal observation of the world, find an interest and thus a topic to study
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7
Q

Scientific Method: Predict

A
  • 2nd step of scientific method
  • develop expectations about the observed phenomenon
  • express these expectations as a theory, defined as a set of related assumptions, from which testable predictions can be made.
  • theories organize and explain what we have observed and guide what we will observe
  • scientific theories must be tied to real evidence
  • hypothesis is a specific, informed, and testable prediction of what kind of outcome should occur under a particular condition.
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8
Q

Scientific Method: Test

A
  • 3rd step in scientific method
  • Scientific select a research method, along with appropriate measurement techniques
  • choose a plan for the design of the study
  • choose tools that will create the condition of the study, and told for measuring response
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9
Q

Scientific Method: Interpret

A
  • 4th step of scientific method

- scientists use mathematical techniques to describe whether it is significant, and closely fits the prediction

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10
Q

Scientific Method: Communicate

A
  • 5th and final step of scientific method
  • the results
  • scientists generally publish their findings in peer reviewed journals
  • this allows other scientists work to be evaluated and recommended on whether or not it should be published
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11
Q

Steps of scientific method

A
  1. Observe
  2. Predict
  3. Test
  4. Interpret
  5. Communicate
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12
Q

Replication

A
  • the repetition of a study to confirm the results

- if the results cannot be replicates it is safe to assume they might have been accidental

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13
Q

Pseudoscience

A
  • practices that appear to be/claim to be science, but don’t use scientific method to come to conclusions
  • pseudoscience practitioners:
    • make no real advancements in knowledge
    • disregard well-known and established facts that contradict their claims
    • don’t questions their own assumptions
    • offer vague or incomplete explanations of their conclusions
    • use unsound logic in making their arguments.
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14
Q

Variable

A

Anything that changes or varies within or between subjects

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15
Q

Population

A

The group of people the study is interested in

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16
Q

Samples

A

Subsets of the population

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17
Q

Descriptive Studies

A
  • researchers don’t generally change any variable or make any predictions
  • define a problem of interest and describe the variables of interest
  • what is the nature of the phenomenon?
  • 3 most common descriptive methods:
    1) case study
    2) naturalistic observations
    3) surveys and interviews
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18
Q

Case study

A
  • To study rare or unusual phenomena in detail
  • to generate hypothesis for future research
  • doesn’t look at cause and effect
  • generally a long term study on a single individual
  • cannot generalize results to entire population
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19
Q

Naturalistic Observation

A
  • to describe naturally occurring behaviour
  • to generate hypotheses for future research
  • lack of control over variables
  • doesn’t look at cause and effect
  • subjects may act differently if aware they are being observed
  • gives researchers a look at behaviour in the real world not a lab setting
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20
Q

Surveys/Interviews

A
  • to describe thoughts or behaviours of large numbers of people
  • If sample is random, results will not be generalized and may be biased
  • depends on method of administering the survey
  • subjects may respond in a way they think is politically or socially acceptable
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21
Q

Archival Research

A
  • researchers who conduct studies by examining previously compiled documents
  • eg. Government documents
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22
Q

Physical Traces

A
  • researchers observe physical traces of behaviour in an environment
  • examine particular setting for remnants of reflections of the activities or characteristics of people who recently used it.
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23
Q

Representative Sample

A

The data we collect must come from people who represent the group in which we are interested.

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24
Q

Random Sampling

A

Every member of the population must have an equal chance of being selected for the study

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25
Q

Social Desirability Bias

A
  • When topics being surveyed are controversial, sensitive, or personal, people are more likely to respond in ways that may not honestly reflect their true beliefs
  • might tell researchers what they want to hear
  • tendency toward favourable self-presentation
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26
Q

Correlation Design

A
  • measure 2 or more variables and their relationship to one another
  • useful when variable cannot be manipulated
  • cannot examine causation of relationship
  • correlation DOES NOT equal causation
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27
Q

Correlation Coefficient

A
  • tells us whether two variables relate and the direction of their relationship
  • range from -1.0 to 0 to +1.0
28
Q

Experimental Studies

A
  • Allows researcher to have the most control over the experimental situation
  • must have 2 things:
    1) experimental manipulation of a predicted cause - the independent variable - and measurement of the response, or dependent variable.2) random assignment of participants to controlled and experimental groups or conditions - meaning that each participant has an equal chance of being placed in either group.
29
Q

Experimental Group

A

Participants who receive a treatment

30
Q

Control Group

A

Participants who are treated exactly the same as the experimental group, but do not receive the treatment. Sometimes they are given a placebo instead.

31
Q

Confounding Variable

A

Additional variable whose influence cannot be separated from the independent variable being sampled

32
Q

Single Blind Study

A

The subject is unaware of whether they are in the experimental group or controlled group

This eliminates participant expectancy effects

33
Q

Double Blind Study

A

Neither the experimenter nor the participants know which group they are in

Avoids experimenter expectancy effects

34
Q

Meta-Analysis

A
  • Cumulative overall findings from all studies on a given topic
  • method for examining many research studies
  • combining results of all published and unpublished findings on one question to draw a conclusion
35
Q

Size effect

A
  • A measure of strength of relationship between two variables or the magnitude of an experimental effect
  • researchers must convert finding of each study to this standardized statistic
  • average size effect across all studies tells us what the literature as a whole says about a topic or question
36
Q

Define: Measures

A

Tools and techniques used to assess thought and behaviour

37
Q

Operational Definition

A
  • researchers description of the way they measure or manipulate variables for their experiment
  • when researchers assign operational definitions, they assign categories or number to represent different levels of each variable.
  • this forms a measurement scale
38
Q

Scales of Measurment

A
  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio
39
Q

Nominal Measurments

A

For levels of a variable that are simply labels or categories

40
Q

Ordinal Measurements

A

Measurement applies when numbers are used to rank order or levels of a variable

41
Q

Interval Measurment

A

Numbers represent different levels of the variable are assumed to represent equal intervals

42
Q

Ratio Measurement

A

Applies to a viable represented by a numeric scale that has equal intervals AND an absolute zero point.
-there are no values below zero

43
Q

Reliability

A

Consistency of results.

Should yield similar results over multiple occasions

44
Q

Validity

A

How accurately your measure assesses the quality it is trying to measure

45
Q

Measures in Psychology

A

There are 3 categories:

1) Self Report
2) Behavioural Observation
3) Psychological Data Collection

46
Q

Self Report

A

Participants accounts of thought, feeling, and action

Limited by social desirability bias and lack of clear insight into ones own behaviours

47
Q

Behavioural Observation

A

Objective observation of actions in lab or natural setting

Limited by the time require to train coders and conduct coding. Participants also may alter behaviour if they are aware they are being observed

48
Q

Psychological Data Collection

A

Data collection of bodily responses under certain conditions

Limited by specialized training on expensive equipment, on how to collect measurements, and how to interpret data.

49
Q

Descriptive Statistics

A

First step in understanding research results

Summarizing and organizing data

Plotting scores in tables or graphs

50
Q

Frequency Distribution

A

Graph that shows frequency of each result

Can be plotted for operationally defined variables

51
Q

Central Tendencies

A

Single numbers that summarize all scores

Mean, median, mode

52
Q

Range

A

Numerical difference between the highest and lowest result

53
Q

Standard Deviation

A

Statistical measurement of how much scores in a sample deviate or vary from the mean.

54
Q

Inferential Statistics

A

Use data to draw conclusions

Calculated using mathematical formulas that allow researchers to determine how much confidence they should have in the results of a study

55
Q

T-Test

A

Tests for differences between means

Uses variability, group means, and sample size

56
Q

Statistically Significant

A

When the results of a statistical test tell us that our finding is real and not just random

A result is statistically significant if the probability of the result occurring by chance is less that 5%

57
Q

Significance Level

A

Amount of evidence required to accept that a finding is unlikely to have arisen from chance

Accept if we expect it to have occurred by chance less than 5% of the time.
i.e. P<0.05

58
Q

Ethics

A

Rules governing the conduct of a person or group in general or in a specific situation

Standards of right and wrong

59
Q

Ethical Principles

A

1) Informed Consent
2) Respect for Persons
3) Beneficence
4) Privacy and Confidentiality
5) Justice
6) Debriefing

60
Q

Informed Consent

A

Telling participants what the study is about, what they will be doing, the risks and benefits involved etc.

Participant must sign an informed consent form before participating

61
Q

Respect for Persons

A

Safeguard the dignity and autonomy of the individual

62
Q

Beneficence

A

Inform participants of the costs and benefits of participation

Maximize benefits, minimize costs

63
Q

Privacy and Confidentiality

A

Protect privacy of participants identities and never connect their identity with their data

64
Q

Justice

A

Benefits and costs must be evenly distributed among all participants

Participants from wide range of social groups should be included unless it is scientifically justifiable

65
Q

Debriefing

A

Process of informing participants of exact purpose of the study

  • Hypotheses
  • Deception practices