Nov. 21st/26th - Chapter 7 CONT. Flashcards

1
Q

READINGS

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

Surveys:

Formatting the questionnaire

A
  • Should appear attractive and professional
  • Presented in clear font, free of spelling errors
  • Respondents should find it easy to identify questions and their corresponding response options
  • Leave enough spaces between q’s so that people don’t become confused when reading the questionnaire
  • Consider q order: most interesting first
  • Stay concise
  • In a survey with multiple questionnaires, randomizing the order of questionnaires
  • Randomizing order of items (q’s) helps evenly distribute effects of fatigue or order
  • Should be optimized to improve response rates in online surveys
  • Consider the necessity of every question you plan on including
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Administering Surveys

2 main ways to administer surveys:

A
  • Questionnaire format
  • Respondents read q’s and indicate their responses on a paper or online form
  • Interview format
  • An interviewer asks the q’s and records responses from the verbal interaction
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

For EITHER Questionnaire or Interview format, there are a number of challenges that emerge when you use the same participants repeatedly; ISSUES COMMON TO ALL STUDIES THAT USE A WITHIN-SUBJECTS DESIGN OR HAVE A LONGITUDINAL COMPONENT

A
  • Maintaining confidential records
  • Changes in an institution or even society at large might influence responses recorded over a period of time (EX: university funding cuts)
  • Participants won’t all stay in the study as time goes on - some inevitably drop out of the study over time: A sample that starts out random or representative of a population can actually become biased over time, it it’s not entirely random who drops out versus who decides to stay
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Questionnaires

A
  • Present respondents with questions in written format, and answers are written out or typed into an online form
  • Q’s can be administered in person to groups or individuals, through the mail, on the internet, or through mobile devices
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Questionnaires

Questionnaires - Benefits

A
  1. Low cost
  2. Allow respondent to be completely anonymous, as long as no identifying information is asked
  3. Anonymity might encourage more honest answers to q’s
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Questionnaires

Questionnaires - Cons

A
  • Require p’s to be both motivated and attentive to complete q’s properly
  • Some may have difficulty reading and understanding q’s
  • This case, useful to administer survey in-person
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Questionnaires

Person administration to groups or individuals:

Advantage?

A
  • Researchers are able to distribute questionnaires to groups of individuals
  • EX: university class, parents attending a school meeting

Advantage:
* Having a captive audience that is likely to complete the questionnaire once they start it
* Researcher is present, people can ask q’s if necessary

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

Questionnaires

Mail surveys:

Disadvantage?

A

Paper surveys can also be mailed to individuals at a home or business address

Disadvantage:
* Low rate of responding; can be easily ignored
* Even when filling out q’s, something may distract p’s, have difficulties with the q, or may become bored and simply throw the form in the recycling bin

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

Questionnaires

Internet surveys:

Advantages and Disadvantages

A

Easy, inexpensive, most common approach for delivering surveys

Advantages:
* Responses can be downloaded immediately (better than manually analyzing)
* Researchers and polling organizations can build **databases of people interested in participating in surveys who they can email **with an invitation to participate and, if appropriate, to forward the link to other potential participants
* Easily advertisable - Target ads
* Can be combined with other technologies to gather data

Disadvantages:
* Will results be similar to what might be found using more traditional methods?
* However, been found that data collected on the internet are comparable to that collected in person
* True characteristics of respondents are ambiguous
* To meet ethical guidelines, researchers usually state that only 16 years of age or older

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

Interviews - person-to-person interaction

A

The fact that an interview involves an interaction between people has important implications:

  • People are often more likely to agree to answer questions for a real person than to answer a mailed questionnaire
  • Response rates tend to be higher when interviews are used compared to questionnaires
  • Interviewer and respondent can establish a rapport that helps motivate the person to answer all the questions, rather than leave questions unanswered
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Interviews: Advantages

A
  • Interviewer can address any problems the person might have in understanding questions
  • An interviewer can ask follow-up questions if needed for clarity
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Interviews: Problems

A

Interviewer bias: term summarizes all of the different biases that can arise from the fact that the interviewer is a person interacting with another person
* EX: interviewer could subtly influence the respondent’s answers by inadvertently showing approval or disapproval of certain answers

Interviewer must be skilled in working with groups to facilitate communication and to deal with problems that may arise

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

Interview Methods

3 methods of deliverance:

A
  • Face-to-face
  • Telephone
  • Focus group
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Interviews - 3 methods of deliverance

Face-to-face

A

Face-to-face: require that the interviewer and respondent meet to conduct the interview
* Tends to be expensive and time-consuming
* Thus, more likely to be used when sample size is fairly small and when there are clear benefits to a face-to-face interaction

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

Interviews - 3 methods of deliverance

Telephone:

A
  • Typically used for large-scale surveys
  • Less expensive
  • Allow data to be collected quickly, as researchers can work on the same survey at once - directly entering data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Interviews - 3 methods of deliverance

Focus Group

A

Interview with a group of about 6-10 people brought together for a period of usually 2-3 hours
* Often, group members are selected because they have particular knowledge or interest in the topic
* As the focus group requires people to spend time and money travelling, there’s typically an incentive to participate
Q’s tend to be open-minded, asked of the WHOLE group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Focus Group - Advantage

A

People can respond to one another, one comment can trigger a variety of responses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Interpreting Survey Results:

Population and Samples

A

Population: a set of people of interest to the researcher
* Can be any group of people
* Small populations - easy to study EVERYONE within it
* Most commonly, populations too big to be possible
* Thus, researchers collect data on a sample of the population in an attempt to learn something about the larger population from which the sample was drawn

  • With proper sampling, information from respondents can be obtained to estimate characteristics of the population
  • NOTE: more of the population sampled, the more confident we can be that the results we would observe were able to test everyone in the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Interpreting Survey Results

Confidence Intervals:

Basic Definition

A
  • When researchers make inferences, or estimates, about a population using a sample, they do so with a certain degree of confidence: since we’re only making informed guesses, we’re never 100% certain
  • Whenever we see an estimate, we should wonder about the uncertainty that surrounds this estimate
  • One way to quantify uncertainty is through a confidence interval: EX - an estimate for an average approval rating of 61% might also report a 95% confidence interval between 58 and 64%
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

True definition of confidence interval is confusing & misunderstood:

A
  • Can think of them as a range of plausible values for direct replications
  • Tell us about uncertainty around our estimates, with wider confidence intervals indicating greater uncertainty
22
Q

The value we observe in a sample is our estimate of the value that exists in the population, with the confidence interval helping us to account for the error in this estimate

Formal term for this error:

A

SAMPLING ERROR, or margin of error
* Similar to measurement error, with the obtained score = error + true score
* Similarly, when you study a sample, the obtained estimate deviates from the true population value as a result of sampling error
* Confidence interval gives you information about how much error actually exists

23
Q

For more precise estimates, use…

A

…a larger sample:
* Larger sample sizes reduce measurement error, and thus the size of the confidence interval
* While the size of the interval is determined by several factors, sample size is key
* More likely to yield data that accurately reflect the true population value

24
Q

How large should samples be?

How can we determine?

A
  • One way to determine: calculate the size of the confidence interval based on the size of the population you’re studying
  • NOTE: greater accuracy = larger sample sizes, & larger samples are also required the larger the size of the population
  • Many assume that proper sampling requires a certain percentage of the population - however, you can see that the required sample size does not change much even as a population size increases from 5,000-100,000
25
Q

Most researchers are interested in an entire population of interest, and so its crucial that findings based on a sample can be generalized to this population

In other words, the research must have high external validity - HOW IS THIS ACHIEVED?

A

Ensuring that the sample is highly representative of the population from which it is drawn (thus, unbiased)

  • First, need to randomly sample from a population that contains ALL people in the population of interest, with every person in the population having an equal chance of appearing in your sample
  • Second, would contact and obtain completed responses from ALL people selected to be in the sample: In this way, the data you end up with comes from a totally random selection of individuals from the population
26
Q

Are the standards of achieving external validity ever satisfied?

A

Such standards are rarely achieved; various non-random sampling methods introduce random biases into the sample, but are used out of necessity when random sampling of populations is impossible

27
Q

Thorough Sampling

Sampling Frame:

A
  • actual population of people from which a random sample will be drawn, which is often a subset of the population of interest
  • Rarely will the sampling frame perfectly coincide with the population of interest - some biases will be introduced; their severity will impact the external validity of your results
  • EX: population = Saskatoon residents, sampling frame - list of home telephone numbers
  • When evaluating research, try to consider how well the sampling frame matches the population of interest
    Often, biases introduced are quite minor, although in some cases they can be consequential
28
Q

Thorough Sampling

Response rate:

A
  • % of people in the sample who actually complete the survey
  • One indicator of how much bias there might be in the final sample of respondents in any number of ways, including age, income, marital status, and education
  • **Lower response rate, greater likelihood that biases may distort the findings and limit the ability to generalize **the findings to the population of interest
  • In other words, LOW EXTERNAL VALIDITY
  • With all methods, steps/incentives can be taken to maximize response rates
    ◊ Can highlight importance of surveys
    ◊ Explanatory letters being mailed post-survey
    ◊ Follow-up reminders
29
Q

Sampling Techniques:

Two basic techniques for sampling individuals from a population:

A
  1. probability sampling
  2. non-probability sampling
30
Q

Probability Sampling

A
  • each member of the population has a known and specific probability of being chosen
  • Allows for representative samples, allowing the results from samples to be generalized to the population from which they were drawn
31
Q

Types of Probability Sampling

A
  1. Simple Random Sampling
  2. Stratified Random Sampling
  3. Cluster Sampling
32
Q

Types of Probability Sampling

Simple Random Sampling

A
  • Every member of the population has an equal probability of being selected for the sample
  • Whenever people are randomly selected from a specific population to participate in a study, the resulting sample is called a random sample
33
Q

Types of Probability Sampling

Stratified Random Sampling

A
  • Population is divided into subgroups, and then simple random sampling is used to select sample members from each subgroup
  • Any number of dimensions can be used to divide the population into subgroups, but should be relevant to the problem being studied
  • Random sampling would then be employed within each subgroup to maximize the representativeness of the sample, along the dimensions specified
34
Q

Types of Probability Sampling

Advantages of Stratified Random Sampling

A
  • Advantage: will accurately reflect the composition of the various subgroups
  • Important when some subgroups represent very small % of the population
  • When it’s important to represent a small group within a population, researchers will typically oversample that group to ensure that a representative sample is surveyed
  • A large enough sample must be obtained to be able to make inferences about that sub-population
35
Q

Types of Probability Sampling

Cluster Sampling:

A
  • rather than randomly sampling from a list of people, the researcher can identify “clusters” of people and then sample from these clusters
  • After clusters are chosen, all people in each cluster are included in the sample
36
Q

Non-probability sampling

A
  • We don’t know the probability of any particular member of the population being chosen
  • Has implications for the generalizability of any results based on the sample
  • Due to difficulties with probability sampling, non-probability is quite common and can be necessary in certain circumstances
37
Q

Non-probability sampling

Convenience Sampling:

A
  • (haphazard sampling) p’s are recruited wherever you can find them
  • Can introduce biases into the sample, such as inaccurate representation (sample biases)
  • Thus, can only describe the biased sample obtained
38
Q

Non-probability sampling

Reasons for using convenience samples: Advantages

A

Investigator can obtain research participants without spending a great deal of money or time to select the sample

39
Q

Non-probability sampling

Reasons for using convenience samples: Drawbacks

A
  • Samples based often on convenience rather than concern for obtaining a random sample
  • Introduces bias
40
Q

Non-probability sampling

Purposive Sampling

A
  • Sampling for a specific purpose to obtain a sample of people who meet some predetermined criterion (EX: people who look under 30)
  • One way of limiting sample to a certain group of people - however, not a probability sample
41
Q

Non-probability sampling

Quota Sampling:

A
  • Researchers choose a sample that reflects the numerical composition of various subgroups in the population
  • Similar to stratified sampling (dividing population into subgroups), but without the randomness
  • Problem remains that no restrictions are placed on how people in the subgroups are chosen
  • Sample does reflect the numerical composition of the whole population of interest, but respondents within each subgroup are selected in a haphazard matter
42
Q

Why aren’t researchers more worried about obtaining random samples from the general population for their research?

A

Some argue that basic psychological research studies phenomena that should operate the same across all humans

43
Q

LECTURE

A
44
Q

Random assignment and random selection: When do we need either? Both?

A

Random selection
□ How sample is obtained
□ Impacts generalizability
□ Everyone in population of interest has equal chance of being in the sample

Random assignment
□ How sample is split into conditions
□ Impacts internal validity
□ Everyone should have an equal chance of being in a condition

45
Q

Is Random Selection Always Necessary?

A

No, it’s not always necessary

46
Q

Generalizability

Arguments against Convenience Samples

A
  • Ethical issues: Justice
  • Students know about psychology research
  • Unrepresentative sample can’t be generalized
  • Issue of external validity
  • Even basic processes can be culture-specific
47
Q

Generalizability

Arguments against Convenience Samples: UNIVERSITY SAMPLE EX.

A
  • WEIRD
  • Western
  • Educated
  • Industrialized
  • Rich
  • Democratic
48
Q

Generalizability: TO OTHER STUDIES

Can other researchers get the same effects you did?

Exact Replication

A

Exact (direct) Replication: Other researcher uses your exact operationalizations

49
Q

Generalizability: TO OTHER STUDIES

Can other researchers get the same effects you did?

Conceptual Replication

A

Same constructs, slightly different operationalizations

50
Q
A