CHAPTER 2 Flashcards

1
Q

Naturalistic Observation

A
  • Observing people in their natural habitats without interference
  • Only works with behaviours that occur naturally, not ones that require setup/certain conditions
  • Qualitative and quantitative data
  • Maximally unobstructed study of behaviour to prevent the Hawthorne effects
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2
Q

Benefit of naturalistic observation

A

Helps come up with new hypotheses based on observed behaviours

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3
Q

Hawthorne Effect

A

A sudden change in behaviour when people realize they are being watched. This effect was discovered in the 1950s from data gathered in the 20s-30s in the Hawthorne works electric company.

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4
Q

Disadvantages of naturalistic observation

A
  • Nature of an uncontrolled environment means potential factors that affect behaviour can come into play
  • Connection/result: it can’t be conclusively determined that behaviours exhibited are organic or caused by extenuating circumstances
  • Experiments often can’t be repeated because not every single factor can align with the initial factor
  • Connection/result: they’re less legit due to lack of repeated evidence
  • A lot of room for researcher bias
  • Connection/result: interpreting data and extrapolating patterns with no confirmation on what the subjects were thinking at the time of the behaviour, meaning 2 people with 2 different backgrounds, experiences, personalities, etc., will likely provide different analyses
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5
Q

Case Studies

A

Where unique individuals are studied in attempts to form links between their specific symptoms/ characteristics and sociopsychological or biological processes. TLDR: When psychologists try to identify causes of symptoms and behaviours displayed by special case patients.

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6
Q

Who was HM?

A

Henry Molaison had seizures starting when he was young, but they progressively got worse to the point where he could no longer live an average life.

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7
Q

What was the “treatment” to HM’s case?

A

In an attempt to remedy this, a neurosurgeon removed his ventral medial temporal lobes (MAIN FOCUS: HIPPOCAMPUS).

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8
Q

What were the consequences of HM’s treatment?

A

The seizures stopped but Henry could no longer form new memories, he only had short-term memories and memories proceeding with the surgery. This led to his being highly studied and to the formulation of our theories and understanding of memory as we know it.

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9
Q

Downsides to case studies?

A

They can’t be generalized since the circumstances of case studies are on an individual basis. An anecdote (one person’s experience) is often uniquely theirs and can’t be translated to the circumstances of others. There can also be other unidentified reasons for the subject’s behaviours, meaning case studies are not always conclusive,

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10
Q

What is the similarity between naturalistic observation, participant observation and case studies?

A

They each focus on the study of small groups or individuals to provide descriptive data of behaviour.

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11
Q

Surveys

A

Easy way to collect quantitative or qualitative data based on people’s opinions, attitudes or experiences at a given time. They tend to target small subsets of a population that are usually representative of the total population as it’d be nearly impossible to survey all.

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12
Q

Define sampling error/bias

A

Sampling error is when a sample chosen isn’t representative of the entire population, particularly in ways that could cause the data to be swayed drastically from what the actual population would answer. Means data cannot be generalized and the survey is ineffective.

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13
Q

Consideration for conducting surveys

A
  • Bias can’t be entirely eliminated, especially with randomized surveys where people can choose to opt-in
  • Since the majority won’t, you are surveying the minority and likely have a sample that deviates from representing the total population
  • The phrasing of questions must be carefully considered as specific wording may influence surveyees to choose a specific option
  • Response bias: people are more likely to respond in ways they feel they are expected to answer and less likely to respond with things they feel would be judged
  • People are more likely to paint themselves in a positive light when answering surveys
  • Responses may not always be thought out and sometimes people fill out fake information
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14
Q

Famous example of a survey

A

Kinsey’s survey on sexual behaviour in men vs. women. Studied sexual preferences, orientation and attitudes. They were a catalyst in sparking the sexual revolution of the 60s.

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15
Q

What kind of bias can be seen in Kinsey’s survey on sexual behaviour?

A

The population surveyed might not have been representative of the entire population. Sex and sexuality were taboo topics and discussion was looked down upon, so people who volunteered and were willing to discuss the topic were the minority

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16
Q

Define research ethics in human psychology

A

Standards are set and must be upheld to carry out research in order for participants to be educated, treated and respected adequately.

17
Q

What was the Tuskegee syphilis study?

A

A study that was conducted in the United States for 40 years during the ’30s-70s. It studied only African-American men, 400 who were known to have syphilis, and 200 who weren’t. They were promised, food, treatment and burial insurance.

Intent: to study the progression of syphilis that was spread through sexual contact.

Error: The psychologists never treated the men despite having a cure and course of treatment.

Result: Hundreds of participants died and it led to further spread of syphillis

18
Q

What determines how closely related two variables are when looking at a correlation?

A

the correlation coefficient/r^2 value, it displays the strength of the correlation and will be between -1 and +1. this means they will cluster along the line of best fit and move towards +/- 1 when there is a strong correlation and 0 when there isn’t one.

19
Q

Should we or should we not assume that a strong correlation means there is a cause-and-effect relationship between two variables?

A

No, we should not assume because despite those two variables will be related, we don’t know the reasoning and therefore, cannot deduce that one variable causes the other.

20
Q

Define a confounding variable

A

A variable that affects both variables in a correlation, making it appear as if there is a cause-and-effect relationship between the two when there isn’t.

21
Q

What is the benefit of correlations if they cannot determine causation?

A

Correlations tell us that there MAY be a relationship between two variables and what to further explore. When these kinds of behaviours are further studied, we can definitively draw a conclusion about causation, correlation, and the two variables.

22
Q

What are the experimental variables?

A

Independent Variable: the manipulated and changed variable
Dependent Variable: the one being measured as a function of the independent variable
Control/Extraneous/Confounding Variable: variables that could have an effect on the dependent variable and thus are controlled/unchanged in order to exclusively test the independent variable. I.e. controlling temperature and circumstantial conditions during a chemical reaction.

23
Q

What must be considered when selecting a sample population?

A
  • selection is fair, unbiased (usually randomized)
  • the sample population is representative of the overall population
24
Q

Why is it important to select a proper sample population?

A

A proper sample population limits the impacts of extraneous variables and ensures that the independent variable is the cause for any effects on the dependent.

25
Q

What are the 3 types of sampling? Explain.

A
  1. simple random sampling: ensures limited bias in the selection of subjects and gives everyone in the population an equal chance of being selected
  2. stratified random sample: randomly selects people from pre-divided subgroups in the population. this ensures that the sampling is representative of the overarching population, but still provides everyone within a subgroup an equal chance of getting selected.
  3. non-random sample: usually used when certain pre-existing conditions must be met by those selected. it means that not everyone has an equal chance of participation. it may even lead to the creation of a convenience sample.
26
Q

What is a convenience sample?

A

when a group of people is selected to be a part of a study exclusively because of a pre-existing condition, convenience or easy access to participation

27
Q

Define internal validity

A

The degree to which results can be attributed to the independent variable over external factors.

28
Q

What is an example of ensuring internal validity?

A

Using a control group and controlling extraneous variables. If we conduct the experiment again with the same controls of extraneous variables, we should get the same exact results.

29
Q

Define external validity

A

The degree to which results can be applied to the real world and generalized.

30
Q

What is an example of solidifying external validity?

A

When an experiment is able to be generalized/redone with different settings, populations and in different contexts

31
Q

Define variability in data

A

Variability is the overall spread of data. Although two sets of data can have the same mean, they can have drastically different individual data points, and this is determined by the spread of the data. A high variability means there is less consistency, whereas a low variability means all data is kept consistent about a certain point.

32
Q

How can variability be determined?

A

Variability in data can be determined by finding the range or standard deviation. This means that the lowest value in the data set is subtracted from the highest to get range or find the standard deviation

33
Q

What is variance and how is it calculated?

A

Variance = sum of the (value - average)^2 divided by the number of values

34
Q

How do you calculate standard deviation:

A

sqrt[sum of (value-average)^2/number of values]