CH 2 Flashcards

(50 cards)

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
value
descion importance
26
Errors in research design
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
syndicated secondary data
consumer, retail, wholesale,advertising, media
28
*****assessing secondary data
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
analytical model
real system or process
30
verbal model
stated in prose form- restatement
31
graphical
visual, used to isolate variables
32
standardized sources growth contributing factors
common info needs amongst consumers, cost of satisfying consumer needs is prohibited, increase use of scanner systems at check out points
33
MDSS
combine data from a diverse database into a single database (avail to production, sales etc.)
34
****characteristics of MDSS
INTERACTIVE, FLEXIBLE, USER FRIENDLY, DISCOVERY ORIENTED
35
*****components of MDSS
database, reports/displays, analysis capabilities, model
36
international marketing research avoid mistkaes
profile target customers and clients
37
greater attention to issues such as
understand nature and type of info sought
38
decide
units of analysis global- simultaneous regional -homogeneous country- separate unit
39
***construct equivilant
deals w how both the subject and the researcher see, and understand
40
*****measurement equvilant
are they measured in the same way?
41
*****sampling equvilant
are the samples in country x and y the same?
42
pitfalls
selecting local companies for research stanraizing methidoligty internationally
43
***non-response error
failure to contact all members, no response
44
***response error
data error
45
***admin error
questioning error
46
***design error
selection error, measurement, experimentation error
47
Secondary data sources
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
*secondary data advs
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
*Secondary data dis
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
**Equivalence considerations in international marketing research
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?”