Chapter 2: Psychology as a science Flashcards

1
Q

2 core scientific beliefs about the world

A

1) The universe operates according to certain natural laws
2) Such laws are discoverable and testable

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2
Q

Deductive Reasoning

A
  • Deductive reasoning: reasoning proceeding from broad basic principles applied to specific situations.
  • Francis Bacon was one of the first to question the deductive reasoning approach. He felt deductive reasoning was too susceptible to the thinker’s biases.
  • Beging with theory
  • Prediction
  • Observation/Experiment
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3
Q

Inductive Reasoning (Empirical Observations and Theories)

A
  • Inductive Reasoning: reasoning process proceeding from small specific situations to more general truths.
  • Bacon believed this type of reasoning would avoid biases from deductive reasoning.
  • Here thinkers use controlled direct observations to generate broad conclusions, and over time such conclusions are combined to achieve non-biased truths about the laws of the universe.
  • Scientists using inductive reasoning would begin the search for natural laws by making EMPIRICAL, or objectively testable, obstervations of mental processes and behaviours. Their cumulative ovservations would in turn lead them to develop THEORIES, or big ideas about the laws that govern those processes and behaviours.
  • Begins with observation/experiment
  • Prediction
  • Theory
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4
Q

Hypothetico-deductive reasoning

A
  • process of modern science where scientists begin with an educated guess, perhaps based on previous research, about how the world works, and then set about designing small controlled observations to support or invalidate that hypothesis.
  • To build on the best of both deductive and inductive reasoning approaches.
  • This process begins with identifying a hypothesis.
  • Psychologists then set out to create controlled observations that will (or will not) support their hypotheses.
  • Most researchers use this approach.
  • Begins with hypothesis
  • Observation/experiment
  • Hypothesis supported or not supported: theory built.
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5
Q

Hypothesis

A
  • a general statement about the way variables relate that is objectively falsifiable (they can be disproved).
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6
Q

Steps in a Scientific Approach

A

1) Make observation
2) Develop Hypothesis
3) Test Hypothesis
4) Build a theory

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7
Q

The Idea Behind Psychological Research

A
  • ISOLATE the relative contribution of such factors
  • Think about how these factors COME TOGETHER across different situations to influence human behaviour
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8
Q

Thoughts vs Behaviours

A
  • thoughts cannot be observed directly, but behaviours can.
  • thus, psychologists can be more certain about the romantic feelings through behaviours observed.
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9
Q

Values and the Application of Psychology - Genetic Research

A
  • The field of genetic research introduced the idea of selective breeding. This perspective contributed to a perspective known as DARWINISM and the field eventually known as EUGENICS.
  • Today, the field of genetic research sparks concerns and debate about food practices, stem cell research, human cloning, and other such issues.
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10
Q

Misrepresentation of Psychology - Pseudopsychology vs Psychology

A
  • pseudopsychology or pop psychology is not based on the scientific method, yet it takes on the appearance of science.
  • A fundamental difference between pseudopsychology and psychology is that psychology does not claim to address all human issues, whereas pseudoscientists argue that psychological principles can provide the answers to all of life’s major questions.
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11
Q

How do Psychologists Conduct Research?

A

1) State a hypothesis
2) Choose participants
3) Pick a Research method

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12
Q
  1. State a Hypothesis - variable, independant variable, dependant variable, operationalize
A
  • when stating a hypothesis, you are saying that one thing results in another thing. The two things are known as VARIABLES.

variables - condition, event, or situation that is studied in an experiment.

independant variable - condition or event that is thought to be a factor in changing another condition or event.

dependant variable - condition or event that you expect to change as a result of variations in the independant variable.

operationalize - to develop a working definition of a variable that allows you to test it.

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13
Q
  1. Choose Participants - sample, random selection
A

sample - the group of people studied in an experiment, used to stand in for an entire group of people.

random selection - identifying a sample in such a way that everyone in the population of interest has an equal chance of being involved in the study.

  • researchers prefer using random selection to obtain their samples because it minimizes SAMPLING BIAS (inadvertently selecting a group that is especially likely to confirm your hypothesis).
  • truly random selction can be elusive (hard to find).
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14
Q
  1. Pick a Research Method - DESCRIPTIVE RESEARCH METHODS, case studies, naturalistic observations, Hawthorne effect, surveys.
A

descriptive research methods - studies that allow researchers to demonstrate a relationship between the variables of interest, without specifying a causal relationship. Observe, collect, and record data.
These include:
- case studies: (study focusing on a single person)
- naturalistic observation: (study in which researchers directly observe people in a study behaving as they normally do)
- surverys: (study in which researchers give participants a questionnaire or interview them)

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15
Q

Pros/Cons Case studies

A

pros:
- good resource for developing early ideas about phenomena

cons:
- it can be affected greatly by researcher bias (when researchers see only what they expect to see in their studies)
- researchers cannot confidently generalize to other situations from the study of a single person

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16
Q

Pros/Cons Naturalistic Observation

A

pros:
- more reflective of actual human behaviour than most other research designs
- technology has expanded naturalistic research

cons:
- can be subjective to research bias
- the mere presence of a researcher or even a video cameera in an otherwise natural environment can change the behaviour of the participants.
- Hawthorne effect

to address cons:
- multiple observers can be used to control for individual observer bias
- observers can be used who are not informed about the specific hypothesis under investigation, thus limiting opportunities for bias to affect their observations.
- observers can spend more time in the setting.

17
Q

Hawthorne effect

A

what happens when people who are being observed in studies or at their workplace improve or change some of their behaviour simply because they are being watched or studied, not in response to an experimental manipulation.

18
Q

Pros/Cons of Surveys

A

pros:
- allow researchers to obtain information that they might not be able to gather using case studies or naturalistic observations.
- they can provide data that enables researchers to measure how strong the relationship is between two variables of interest.
- the internet has increased the use of surveys, reaching larger populations

cons:
- data can be unreliable
- participant bias
- not all participants understand the questions the same way
- subject bias
- data cannot tell us decisively about the direction of the relationship between variables

19
Q

Pros/Cons of Descriptive Research

A

pros:
- good for developing early ideas
- more reflective of actual behaviour than other methods
- easiere to collect data

cons:
- little or no control over variables
- researchers and participant biases
- cannot explain cause and effect

20
Q
  1. Pick a Research Method - EXPERIMENTAL RESEARCH, experimental group, control group, random assignment, double-blind procedure
A

experiment - controlled observation in which researchers manipulate the presence or amount of the independant variable to see what effect it has on the dependant variable

experimental group - group that is exposed to the independent variable

control group - group that has not been or will not be exposed to the independant variable

random assignment - assigning individual research volunteers to experimental and control groups using a random process so that uncontrolled variables are randomly or evenly distributed across all groups

double-blind procedure - study in which neither the participant nor the researcher knows what treatment or procedure the participant is receiving.

21
Q

Pros/Cons of Experimental Research

A

pros:
- allows researchers precise control over variables
- identifies cause and effect

cons:
- ethical concerns
- practical limits
- artificiality of lab conditions
- confounding variables
- researcher and participant biases
- demand characteristic effect (conveying to participants the outcome that experimenters expect to see)

22
Q

How Do Psychologists Make Sense of Research Results?

A

Psychologists use STATISTICS to describe and measure relationships between variables.

  • Correlations: Measures of Relationships
  • Experimental Analyses: Establishing Cause and Effect
  • Using Statistics to Evaluate and Plan Research
23
Q

Correlations: Measures of Relationships - correlation, correlation coefficient, positive/negative correlation, perfect correlation

A

correlation - predictable relationship between two or more variables.

correlation coefficient - statistic expressing the strength and nature of a relationship between two variables. can range from -1.00 to +1.00. A correlation of 0 means there is no linear relationship between 2 variables. Exciting relationships in psychology are often reflected by a correlation coefficient of 0.3 and above. The value of the correlation coefficient reflects both the DIRECTION and the MAGNITUDE of the relationship between 2 variables.

positive correlation - relationship in which, on average, scores on two variables increase together.

negative correlation - relationship in which, on average, scores on one variable increase as scores on another variable decrease.

perfect correlation - a correlation of -1.00 or +1.00. one in which two variables are exactly related, such that low, medium, and high scores on both variables are always exactly related.

  • CORRELATION IS NOT CAUSALITY
  • Correlational research can and does help us narrow down the causal possibilities in the behaviour we are studying.
24
Q

Experimental Analyses: Establisting Cause and Effect - mean, standard deviation, descriptive/inferential statistics, t-tests, analyses of variance, probability statistics, effect size

A
  • to examine differences between groups and determine the cause of such difference you must conduct experimental analyses.
  • researchers sometimes divide experimental analyses into 2 groups:

1) Descriptive statistics (describes or summarizes the data gathered from a study)

2) Inferential Statistics (tells researches what they can infer from their results)

  • to describe differences between the scores of experimental groups and control groups, researchers calculate the MEAN and STANDARD DEVIATION of each group.

mean - arithmetic average of a set of scores. big differences between the mean - the average score - of an experimental group and the mean of a control group may indeed suggest big differences between the participants in the groups

standard deviation - statistical index of how much scores vary within a group

t-tests - a statistical procedure used to comapre means for two groups

analyses of variance - a statistical procedure used to compare means for two or more groups

  • the statistical procedures are known as significance tests because they measure whether the differences found between groups are statistically significant, or whether they are likely to be genuine and non-random, or chance occurrences.

probability statistic - a calculation for statistical significance. If a test is statistically significant it will yield a probability statistic of p=.05 (if researchers were to conduct the same study 100 times, they would by chance alone, get the same result found in the current study less than 5% of the time).

  • p<.05 (probability statistic is less than 0.5) means that the difference they have found between groups in their study is statistically significant - there is likely to be a real difference that is due to the manipulations carried out in the study. There is less than a 5% chance that you obatined the result by chance.

effect size - describes the strength of the relationship between two variables.

25
Q

Using Statistics to Evaluate and Plan Research - replication

A

replication - repeated testing of a hypothesis to ensure that the results you achieve in one experiment are not due to chance. replication enables hypotheses to become theories and theories to become laws.

26
Q

What Ethical Research Guidelines Do Psychologists Follow?

A

Research ethics in Canada are guided by a joint statement on the ethics of research grant agencies:
- the Canadian Institutes of Health Research (CIHR)
- the Natural Science and Engineering Research Council of Canada (NSERC)
- the Social Sciences and Humanities Research Council of Canada (SSHRC)

27
Q

Research Ethics Boards (REBs)

A

research oversight group that evaluates research to protect the rights of participants in the study.

  • if the risk or discomfort associated with a proposed study is deemed to outweigh the potential scientific benefit from the study, then the undertaking is rejected.

REBs required steps to protext human participants:

  1. Obtain informed consent: give as much information as possible about the purpose, procedures, risks, and benefits of the study so that a participant can make an informed decision about whether or not to participate.
  2. Protect participants from harm and discomfort
  3. Make participation voluntary
  4. Do not use deception or incomplete disclosure
  5. Provide a complete debreifing: supplying full information to participants at the end of their participation in a research study.
28
Q

Animal Ethical Obligations

A

The Canadian Council on Animal Care (CCAC) has crafted a set of ethical guidelines for research involving animals.

Its code includes:

  • “The use of animals in research, teaching, and testing is acceptable ONLY if it promises to contribute to understanding of fundamental biological principles, or to the development of knowledge that can reasonably be expected to benefit humans or animals.”
  • Animals should be used ONLY if the researcher’s best efforts to find an alternative have failed.
  • Those using animals should employ the most humane methods on the smallest number of appropriate animals required to obtain valid information.
  • Other parts of the code seek to limit pain or distress, ensure proper recovery periods, and ensure general humane treatment of animal participants.
  • All such guidelines - for both animals and human research undertakings - help ensure not only more ethical procedures, but better science as well.