CH 2 Flashcards

1
Q

***Research Design

A

delineates what data to collect and how to collect it

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2
Q

research design must specify

A

type of info to be collected, possible data sources, data collection procedure

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3
Q

***components of research design

A
  1. define info needed 2. design exploratory descriptive causal research 3. specify measurement/scaling process 4. construct/pretest a questionnaire 5.specify sampling process/sample size 6.develop data analysis plan
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4
Q

**exploratory

A

improve research to find course of action, provide insight and understanding,flexible/unstructred, tentative, more research after

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5
Q

*****causal

A

experiments, gathers info on cause and effect relationships through experimentation, manipulation of independent variables, effect on dependent variables

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6
Q

****conclusive

A

help choose course of action, test specific hypothesis and examine results, clearly defined, conclusive, findings used to make desicions

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7
Q

performance-monitoring

A

feedback on chosen course of action

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8
Q

***descirptive

A

doesn’t test for cause and effect, secondary data,prior formulation of specific research, preplanned and structured design

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9
Q

**cross sectional surveys

A

snapshot of current status same survey different people

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10
Q

**longitudinal surveys

A

gathering data over a period of time same survey same sample

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11
Q

single cross sectional

A

info obtained only once

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12
Q

multi cross sectional

A

two or more samples but info obtained only once

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13
Q

cohort analysis

A

series of surveys at appropriate time intervals

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14
Q

***advs of longitudinal panels

A

more accurate data, gather extensive background, reduce bias, tend to cost less, analyze heavy buyers

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15
Q

***Dis of longitudinal panels

A

unrepresentative sample, response bias (selection not changing), over reporting, mortality effect, testing effect

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16
Q

detective funnel

A

exploratory- generate all possible research for a problem descriptive/causal-narrow the problem down

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17
Q

***sampling error

A

difference btw measure obtained from the sample population and and true measure from entire population

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18
Q

**non-sample error

A

all other errors

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19
Q

**total error

A

true mean vs observed mean

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20
Q

research proposal

A

exec summary, research process, research design, time and cost estimates, appendic

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21
Q

market plan and info systems

A
  1. agree research process 2. eat research objectives- research question/hypothesis 3. est. value of info 4. design research 5. collect data 6. prepare/analyze data 7. report data
22
Q

research question

A

what researcher wants to learn without making a claim

23
Q

hypothesis

A

unproven statement possible answer to research question

24
Q

**hypothesis development

A

prior research, borrow from other disciplines, own experiences

25
Q

value

A

descion importance

26
Q

Errors in research design

A

Total error: the variation between the true mean value in the population of the variable of interest, and the observed value that was obtained in the marketing research project
Sampling Error: difference between the measure obtained from the sample and the true measure that can be obtained only from the entire population
Non-sampling error: All other errors associated with a research project
Response error: when respondents give inaccurate answers or their answers are misrecorded are misanalyzed
Non-response error: when some of the respondents included in the sample do not respond
Design error: selection error, population specification error, sampling frame error, surrogate information error, measurement error, experimental error.
Administering error: questioning error, recording error, interference error

27
Q

syndicated secondary data

A

consumer, retail, wholesale,advertising, media

28
Q

*****assessing secondary data

A

who gathered the data? purpose of study? (is it relevant to your case) when was info collected? (technology) info consistent w other info? (was info collected ethically?)

29
Q

analytical model

A

real system or process

30
Q

verbal model

A

stated in prose form- restatement

31
Q

graphical

A

visual, used to isolate variables

32
Q

standardized sources growth contributing factors

A

common info needs amongst consumers, cost of satisfying consumer needs is prohibited, increase use of scanner systems at check out points

33
Q

MDSS

A

combine data from a diverse database into a single database (avail to production, sales etc.)

34
Q

**characteristics of MDSS

A

INTERACTIVE, FLEXIBLE, USER FRIENDLY, DISCOVERY ORIENTED

35
Q

*****components of MDSS

A

database, reports/displays, analysis capabilities, model

36
Q

international marketing research avoid mistkaes

A

profile target customers and clients

37
Q

greater attention to issues such as

A

understand nature and type of info sought

38
Q

decide

A

units of analysis global- simultaneous regional -homogeneous country- separate unit

39
Q

***construct equivilant

A

deals w how both the subject and the researcher see, and understand

40
Q

*****measurement equvilant

A

are they measured in the same way?

41
Q

*****sampling equvilant

A

are the samples in country x and y the same?

42
Q

pitfalls

A

selecting local companies for research stanraizing methidoligty internationally

43
Q

***non-response error

A

failure to contact all members, no response

44
Q

***response error

A

data error

45
Q

***admin error

A

questioning error

46
Q

***design error

A

selection error, measurement, experimentation error

47
Q

Secondary data sources

A

Internal secondary data generated within the organization (sales reports, customer database etc)
Lower cost
Accurate
More available
External secondary data - generated by government or syndicated sources

48
Q

*secondary data advs

A

Less expensive and time-consuming to collect
Aid formulation of decision problem
Suggest methods for meeting information needs
Source of comparative data for primary data
Might provide a solution to a research problem
Can alert the researcher to other problems
Provides backgrounds information enhancing research credibility

49
Q

*Secondary data dis

A

Don’t exactly fit the information needs of the project
Aggregated without the breakdown required by the project
Accuracy difficult to evaluate - might be biased - intentionally or unintentionally
May be outdated (lack of relevance)
Might not be any available data on your topic (lack of availability)
Insufficiency - not enough information exists

50
Q

**Equivalence considerations in international marketing research

A

Construct equivalence: deals with how both the researcher and the subjects see, understand, and code a particular phenomenon
Ex. “Are we studying the same phenomenon in countries X and Y?”
Measurement equivalence: deals with with methods and procedures used by the researcher to collect and categorize essential data and information
Ex. “Are the phenomenon in countries X and Y measured in the same way?”
Sampling equivalence: “Are the samples in countries X and Y equivalent?”