Questions: Midterm Review Flashcards

1
Q

Which of the following is TRUE about exploratory research?

A) It usually consists of large-scale research projects
B) Its main goal is to understand cause and effect relationships
C) It often relies on qualitative methods
D) It usually relies on large mail surveys

A

C) It often relies on qualitative methods

*Exploratory research is research conducted for a problem that has not been studied more clearly, intended to establish priorities, develop operational definitions and improve the final research design.

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2
Q

Which of the following are common techniques of exploratory research?

A) Focus Groups
B) Pilot Surveys
C) Depth Interviews
D) All of the Above

A

D) All of the Above

*Exploratory Research often relies on QUALITATIVE methods

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3
Q

Generally, secondary data research is a form of:

A) Exploratory Research
B) Descriptive Research
C) Casual Research
D) Qualitative Research

A

A) Exploratory Research

*Exploratory research often relies on techniques such as secondary research and formal/informal qualitative approaches

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4
Q

Which choice is FALSE regarding exploratory research?

A) It typically aims at providing insights
B) It typically aims at describing the market in detail
C) It typically aims at producing new ideas
D) It typically aims at increasing out understanding of the topic

A

B) It typically aims at describing the market in detail

*Exploratory research helps determine the best research design, data-collection method and selection of subjects. It should draw definitive conclusions only with extreme caution

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5
Q

Descriptive research usually relies on?

A) Small Samples
B) Psychological Trained Moderators
C) Representative Samples
D) The Availability of Databases

A

C) Representative Samples

  • Descriptives Research is used to describe characteristics of a population or phenomenon being studied
  • A representative sample is a small quantity of something that accurately reflects the larger entity
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6
Q

Which of the following is an example of descriptive research?

A) Pilot Survey
B) Depth Interview
C) Unrepresentative Survey
D) Representative Survey

A

D) Representative Survey

  • Descriptives Research is used to describe characteristics of a population or phenomenon being studied
  • A representative sample is a small quantity of something that accurately reflects the larger entity
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7
Q

An example of causal research is:

A) Survey
B) Focus Group
C) Depth Interview
D) Market Test

A

D) Market Test

  • Causal research, also called explanatory research, is the investigation of (research into) cause-and-effect relationships
  • Market Test uses a group to gauge the viability of type of research prior to a wide scale roll-out.
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8
Q

A market test may be used to evaluate:

A) The possible effects of a marketing strategy
B) The possible positioning for a concept
C) The characteristics of a target market
D) Consumer motivations for choosing a brand

A

A) The possible effects of a marketing strategy

*Market test uses a group to gauge the viability of a product or service in the mass market prior to a wide scale roll-out.

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9
Q

Census data is an example of:

A) Qualitative Data
B) Internal Secondary Data
C) External Secondary Data
D) Internal Primary Data

A

C) External Secondary Data

*External Secondary Data is existing data that has already been collected by other organizations

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10
Q

Which choice is FALSE regarding longitudinal data?

A) It’s collected by using special samples called panels
B) It relies on the repeated measurement of the same respondents
C) It’s useful to analyze dynamic aspects of consumer behavior
D) It’s generally more representative than cross-sectional data

A

D) It’s generally more representative than cross-sectional data

  • Longitudinal Data is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time, often many decades
  • Cross-Sectional Data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at the same point of time, or without regard to differences in time.
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11
Q

Quantitative and qualitative research differ from each other because:

A) Unlike qualitative research, quantitative research relies on numerical measures
B) Qualitative research is typical of exploratory projects
C) Qualitative research requires a high degree of subjective interpretation
D) All of the above

A

D) All of the above

  • Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research.
  • Quantitative Research is used to quantify the problem by way of generating data that can be transformed into usable statistics. It is used to quantify defined variables – and generalize results from a larger sample population.
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12
Q

When you collect data for the specific purpose of using it to answer a new question, your data is called:

A) Primary
B) Secondary
C) Exploratory
D) Qualitative

A

A) Primary

*Primary Data Data is observed or collected directly from first-hand experience.

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13
Q

For your qualitative data to be valid, you must ensure that:

A) Your sample of respondents is representative of your market
B) Your sample of respondents is typical of your market
C) The data is analyzed statistically
D) The data contains no errors

A

B) Your sample of respondents is typical of your market

*Qualitative data is generally collected in the context of exploratory research. The need to maintain cost and scale of exploratory research down make it impossible to set up a representative sample.

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14
Q

Your company conducts a new survey every year. Before designing the guidelines for the new one, you always examine the results you had in the last 2 years. From your current point of view, the surveys you conducted in the last two years are an example of?

A) Secondary data
B) Primary data
C) Internal secondary data
D) Internal primary data

A

C) Internal secondary data

*Internal secondary data has already been generated and/or collected by a business during its normal course of activity.

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15
Q

Which of the following are examples of syndicated data?

A) The retail index
B) Data from a consumer diary panel
C) Data from a media panel
D) All of the above

A

D) All of the above

*Syndicated Data is a research funded by market research companies and the results of such research is made available to everyone who wishes to purchase it.

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16
Q

Syndicated data is collected about, and potentially sold to:

A) A single company in an industry
B) All major companies within an industry
C) A client who requests a report
D) Advertising agencies only

A

B) All major companies within an industry

*Syndicated Data is a research funded by market research companies and the results of such research is made available to everyone who wishes to purchase it.

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17
Q

Syndicated retail index data DO NOT supply information about:

A) Sales for the industry, in units and $, by brand
B) Measures of distribution efficiency for each brand
C) Consumer liking scores over time, for each brand
D) Base prices and promoted prices, by brand

A

C) Consumer liking scores over time, for each brand

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18
Q

In syndicated retail index data, distribution efficiency for a brand is indicated by:

A) Sales force cost, by store
B) Sales force cost, by percentage point of total distribution
C) Proportion of all stores that carry a brand, compared to the proportion for competitors
D) Brand presence in the stores that account for the greatest proportion of total retail sales

A

D) Brand presence in the stores that account for the greatest proportion of total retail sales

*Don’t really know why

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19
Q

A focus group relies on:

A) Representative sampling
B) A questionnaire
C) Group discussion
D) Quantitative measurement

A

C) Group discussion

*Focus Group is a small group of people whose reactions are studied in guided or open discussions to determine the reactions that can be expected from a larger population. Questions are asked in an interactive group setting where participants are free to talk with other group members.

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20
Q

A depth interview is useful to investigate:

A) Consumers’ motivations
B) Market’s characteristics
C) Possible effects of a new product’s launch
D) Market trends

A

A) Consumers’ motivations

*In-depth interviewing is a qualitative research technique that involves conducting intensive individual interviews with a small number of respondents to explore their perspectives on a particular idea, program, or situation.

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21
Q

What is a market test?

A) An example of exploratory research
B) An example of descriptive research
C) An example of causal research
D) An example of cross-sectional research

A

C) An example of causal research

  • Don’t know why it’s only C not A?
  • Causal research, also called explanatory research, is the investigation of (research into) cause-and-effect relationships
  • Market Test uses a group to gauge the viability of type of research prior to a wide scale roll-out.
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22
Q

Compared to other methods of survey administration, internet-based surveys generally have:

A) Better sampling control
B) Worse sampling control
C) The best response rates
D) The worst response rates

A

B) Worse sampling control

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23
Q

If you have a good and appropriate mailing list (and you are carrying out a mail survey), you will:

A) Send a questionnaire to everybody on the list
B) Use the list for building a random sample of respondents
C) Use the list to understand who should be the typical respondent
D) Send a request to all list addresses, and then follow up with a questionnaire upon acceptance

A

B) Use the list for building a random sample of respondents

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24
Q

Mail surveys typically have:

A) Variable response rates, depending on context
B) High response rates
C) Low response rates
D) The same response rates as other methods

A

C) Low response rates

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25
Q

Mall-intercept surveys generally have:

A) Comparatively good response rates
B) Comparatively bad response rates
C) Comparatively good sampling control
D) Comparatively bad control over questionnaire administration

A

A) Comparatively good response rates

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26
Q

In causal research, it is important to:

A) Ensure high response rates
B) Have large samples
C) Use adequate incentives
D) Avoid the effect of extraneous variables

A

D) Avoid the effect of extraneous variables

  • Causal research, also called explanatory research, is the investigation of (research into) cause-and-effect relationships
  • Extraneous variables are any variables that you are not intentionally studying in your experiment or test.
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27
Q

In causal research, studies are also called experiments and may be:

A) Laboratory experiments and field experiments
B) Exploratory experiments and descriptive experiments
C) Primary experiments and secondary experiments
D) Representative experiments and non-representative

A

A) Laboratory experiments and field experiments

*Causal research, also called explanatory research, is the investigation of (research into) cause-and-effect relationships

28
Q

Which of the following questions is most likely an example of nominal (categorical) scale?

A) A question about income, in $
B) A question about preference between two brands
C) A question about area of residence
D) A question about product liking, on a 7-point scale

A

C) A question about area of residence *

*Nominal scales are used for labeling variables, without any quantitative value. “Nominal” scales could simply be called “labels.”

29
Q

Non-response bias refers to:

A) The presence of systematic differences between respondents and non-respondents
B) The presence of similarities between respondents and non-respondents
C) The use of small samples because of low response rates
D) The effect that a bad questionnaire may have on respondents

A

A) The presence of systematic differences between respondents and non-respondents

*Nonresponse bias is the bias that results when respondents differ in meaningful ways from nonrespondents

30
Q

Likert scales are based on:

A) A set of statements rated by respondents in terms of agreement or disagreement
B) A set of brands that respondents must rank in order of preference
C) A set of paired adjectives (for example, Bad/Good)
D) A total of 100 points to be divided and allocated by respondents

A

A) A set of statements rated by respondents in terms of agreement or disagreement

*When responding to a Likert item, respondents specify their level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. Thus, the range captures the intensity of their feelings for a given item

31
Q

Semantic differential scales yield _______ measures.

A) Nominal
B) Ordinal
C) Interval
D) Ratio

A

C) Interval

  • Semantic Differential is a type of a rating scale designed to measure the connotative meaning of objects, events, and concepts. The connotations are used to derive the attitude towards the given object, event or concept.
  • The interval type allows for the degree of difference between items, but not the ratio between them
32
Q
Paired comparison scales yield \_\_\_\_ data.
A) Nominal 
B) Ordinal
C) Interval
D) Ratio
A

B) Ordinal

  • Ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for relative degree of difference between them.
  • Paired Comparison Scaling is a comparative scaling technique wherein the respondent is shown two objects at the same time and is asked to select one according to the defined criterion. The resulting data are ordinal in nature.
33
Q

Which type of scale yields measures with an absolute zero?

A) Nominal
B) Ordinal
C) Interval
D) Ratio

A

D) Ratio

*Ratio scales tell us about the order, they tell us the exact value between units, AND they also have an absolute zero–which allows for a wide range of both descriptive and inferential statistics to be applied

34
Q

Interval measures are limited in that they cannot be interpreted in absolute terms, i.e.:

A) They can only be interpreted in reference to some (valid) comparison
B) They can always be interpreted in absolute terms
C) They can’t be interpreted
D) Interval measures are not limited

A

A) They can only be interpreted in reference to some (valid) comparison

*Don’t fully understand why

35
Q

You collected preference measures for five brands of detergent by asking respondents to rank them (first, second, etc.). The vast majority of your respondents ranked Tide first. What conclusions can you draw in terms of preference for Tide over all the other brands in the market, including same that were not included in your original question?

A) By extension, you can conclude that Tide will be preferred to all other brands on the market
B) Your results do not allow any conclusions about brands that were not included in the set used for the ranking
C) You need to calculate the average ranking for Tide
D) You can ask a new set of respondents to give you ratings for the other brands

A

B) Your results do not allow any conclusions about brands that were not included in the set used for the ranking

36
Q

“I like to use conditioner every day”
1 Disagree 2 Disagree Somewhat 3 Agree Somewhat 4 Agree

A) It is a multi-item scale
B) It is a comparative question
C) It may not have interval-scale properties because of having only 4 answer points
D) It is an unbalanced question

A

C) It may not have interval-scale properties because of having only 4 answer points

*Don’t fully get why

37
Q

“I like to use conditioner every day”
1 Disagree 2 Disagree Somewhat 3 Neither Agree nor Disagree 4 Agree Somewhat 5 Agree

A) Balanced question
B) It may not have interval scale properties because it has only 5 answers points
C) Comparative question
D) An ordinal scale

A

A) Balanced question

*A balanced question is one that has a question stem that presents the respondent with both (all reasonably plausible) sides of an issue.

38
Q

A Likert scale generally is:

A) A questions about brand preference
B) A multi-item scale
C) A comparative question
D) An ordinal scale

A

B) A multi-item scale

  • A Likert-type scale assumes that the strength/intensity of experience is linear, i.e. on a continuum from strongly agree to strongly disagree, and makes the assumption that attitudes can be measured.
  • A multi-item scale is designed to measure the respondent’s attitude towards more than one attribute related to the stimulus object.
39
Q

Survey administration conditions, respondent characteristics, survey goals and topics are:

A) Irrelevant to formulating questions for a questionnaire
B) Relevant to formulating questions for a questionnaire
C) Unpredictable factors in designing a survey
D) To be decided only after designing a questionnaire

A

B) Relevant to formulating questions for a questionnaire

40
Q

What do surveys aim to get from respondents?

A) Creative responses
B) Cause and effect observations
C) Standardized responses
D) Insights

A

C) Standardized responses

41
Q

What is an open ended question?

A) An interval scale
B) A question that has no fixed response format
C) A question that has a closed answer format
D) A question with a dichotomous answer format

A

B) A question that has no fixed response format

42
Q

When using a multi-item scale, you have:

A) A ratio score
B) An interval scale with 10 answer points
C) A question about multiple brands
D) A single score from multiple questions

A

D) A single score from multiple questions

*A multi-item scale is designed to measure the respondent’s attitude towards more than one attribute related to the stimulus object. It is a rating scale comprising of multiple items, where each item is a single question or a statement that needs to be evaluated.

43
Q

Classification questions are best placed:

A) At the end of the questionnaire
B) At the beginning of the questionnaire
C) They should not be used
D) Scattered and mixed throughout the questionnaire

A

A) At the end of the questionnaire

44
Q

Branding questions in a questionnaire:

A) Are typically multi-item scales
B) Are typically open ended questions
C) Send respondents to the appropriate section of the questionnaire
D) Give respondents an overview of the contents of the questionnaire

A

C) Send respondents to the appropriate section of the questionnaire

45
Q

In a questionnaire, leading questions result in:

A) Honest answers
B) Disingenuous answers
C) Standardized responses
D) Insights

A

B) Disingenuous answers

*A leading question suggests the particular answer or contains the information the examiner is looking to have confirmed

46
Q

When certain social, economic or demographic groups do not cooperate with the census process and escape measurement, the measures obtained from the census will have ____________ than the measures obtained from a proper representative sample

A) Lower systematic error (bias)
B) Higher systematic error (bias)
C) Lower random error
D) Higher random error

A

B) Higher systematic error (bias)

*Systematic errors are difficult to detect and cannot be analyzed statistically, because all of the data is off in the same direction (either to high or too low). Spotting and correcting for systematic error takes a lot of care.

47
Q

For any given population, a representative sample will collect ________ than a census

A) A smaller number of responses
B) A larger number of responses
C) The same number of responses
D) There is no general answer to this question

A

A) A smaller number of responses

*A representative sample is a small quantity of something that accurately reflects the larger entity

48
Q

For a research project that aims at studying the number of hours US children spend daily playing video games, the target populations may be defined as

A) Video games
B) Households
C) US residents
D) Children

A

D) Children

49
Q

A complete list of population members is called

A) Mailings list
B) Target population
C) Sampling frame
D) Sample

A

C) Sampling frame

*Sampling frame is a list of the items or people forming a population from which a sample is taken

50
Q

A probability sample is:

A) Biased
B) Representative
C) Large
D) Exploratory

A

B) Representative

*A probability sampling method is any method of sampling that utilizes some form of random selection.

51
Q

Which of the following is a sampling frame?

A) The definition of the target market or target population
B) The calculation of sample size
C) A rule for identifying all population members
D) The project framework

A

C) A rule for identifying all population members

*Sampling frame is a list of the items or people forming a population from which a sample is taken

52
Q

A sample is a _______ when all members of the population have a known chance of being sampled

A) Non-probability sample
B) Cluster sample
C) Census
D) Probability sample

A

D) Probability sample

53
Q

Non-probability samples are useful when:

A) The research project is descriptive, for example a representative survey
B) The research project is exploratory, for example a pilot a survey
C) They are never useful
D) They are always useful, as long as they are large enough

A

B) The research project is exploratory, for example a pilot a survey

*Three common techniques of non-probability sampling are: convenience sampling, which involves choosing a sample based on the people who are readily available; quota sampling, which requires the researcher to set quotas based on the demographic information of the population; and judgmental or purposive sampling

54
Q

Simple Random Sampling (SRS) relies on

A) Small sample size
B) Simple sample structure
C) Random numbers
D) Random sampling cost

A

C) Random numbers

*A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen

55
Q

Generally, a cluster sample is _______ than a SRS

A) More expensive
B) Less expensive
C) More accurate
D) More representative

A

B) Less expensive

*Cluster sampling is a sampling method, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. The researcher conducts his analysis on data from the sampled clusters.

56
Q

Generally, a cluster sample is _______ than a SRS

A) More accurate
B) Less accurate
C) More probabilistic
D) Less probabilistic

A

B) Less accurate

*Cluster sampling is a sampling method, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. The researcher conducts his analysis on data from the sampled clusters.

57
Q

Generally, a stratified sample is ______ than a SRS

A) More expensive
B) Less expensive
C) More accurate
D) A and C

A

D) A and C

  • Stratified sample is drawn from a number of separate strata of the population, rather than at random from the whole population, in order that it should be representative.
  • A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen
58
Q

Generally, a stratified sample is ______ than a SRS

A) More accurate
B) Less accurate
C) More probabilistic
D) Less probabilistic

A

A) More accurate

  • Stratified sample is drawn from a number of separate strata of the population, rather than at random from the whole population, in order that it should be representative.
  • A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen
59
Q

A quota sample is also

A) A stratified sample
B) A simple random sample
C) A large sample
D) A non-probability sample

A

D) A non-probability sample

  • Quota sampling means to take a very tailored sample that’s in proportion to some characteristic or trait of a population.
  • Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
60
Q

A statistic calculated from a probabilistic sample can be expected to differ from the “true” population value because of:

A) Systematic Error
B) Random Error
C) Poor Execution
D) Wrong Sampling Technique

A

B) Random Error

*Random errors in experimental measurements are caused by unknown and unpredictable changes in the experiment. These changes may occur in the measuring instruments or in the environmental conditions.

61
Q

What is probably true of a non probability sample?

A) It’s small
B) It’s large
C) It’s expensive
D) It’s biased

A

D) It’s biased

*Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected

62
Q

Suppose you know (from secondary research) that Gender and Income are equally related to the measures you want to study. For your project, it is especially important that you reduce sampling error and increase the accuracy of your sampling estimates. You have some financial flexibility, but not infinite resources. You can:

A) Use stratified sampling, with Gender as the stratification variable
B) Use stratified sampling, with Income as the stratification variable
C) Use cluster sampling, with counties as the first-level clusters
D) Use cluster sampling, with Income as a clustering variable

A

A) Use stratified sampling, with Gender as the stratification variable

*Stratified sampling, the researcher divides the population into separate groups, called strata. Then, a probability sample (often a simple random sample ) is drawn from each group

63
Q

You need to build a representative sample of your target market but do not have a list of all population members. You then decide to divide the market by ZIP codes, and select a sample of ZIP codes. Subsequently, you get a list of city blocks for each of the sampled ZIP codes, a build a sample of city blocks. Finally, you will develop a list of individuals who live in this sample of city blocks, and build a final sample of individuals. This is an example of:

A) Simple Random Sampling
B) Judgement Sampling
C) Stratified Sampling
D) Cluster Sampling

A

D) Cluster Sampling

*Cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. The researcher conducts his analysis on data from the sampled clusters

64
Q

Sample representativeness depends on:

A) Random selection from the target population
B) Adequate inclusion of all different groups, based on gender, income, etc.
C) Large sample size
D) Elimination of sampling error

A

A) Random selection from the target population

65
Q

A sample result is representative if:

A) Sample is large
B) Sample is precise
C) Sample is probabilistic
D) Sample is based on stratification

A

C) Sample is probabilistic