Lecture 3 Flashcards

1
Q

Secondary data

A

Secondary data already exists within the company or is collected by third parties for purposes other than solving the problem at hand - A gov publications, books, newspapers, annual reports

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2
Q

Uses of secondary data

A

Uses of secondary data:

Providing info at a sufficient level of details nd quality for solving a problem

Preliminary stage for solving a problem with primary data

Source for new ideas that can be investigated further with primary data, support for the problem definition and formulation of hypothesis

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3
Q

Limitations of secondary data

A

Limitations of secondary data:

Data is incomplete because it was generally collected for a different purpose

Units of measure and level of detail of the data do not correspond to the requirements

No control over the process of data collection

Data is too old

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4
Q

Primary data

A

Primary data is data does not yet exist and must’ve collected by the researcher or third parties

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5
Q

Origin of data

A

Either observation route or question route

Observation route: with or without survey
With its with lab or field experiment
Without it’s human as observer with internet or apparatus

For question route: qualitative or quantitative
Qualatitive is in depth interview or focus group discussion
Quantitative data for structured survey with primarily closed questions, passive (reactive ) role of the respondents

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6
Q

Qualitative data

A

Qualitative data is unstructured / semi structured survey, active role of the respondents

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7
Q

Quantitative data

A

Quantitative for structured survey with primarily closed questionsC passive (reactive) role of the respondents

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8
Q

Types of primary data collection: questioning and qualitative data

A

Personal interviews: greater willingness to discuss sensitive topics by excluding others. No motivation for social role playing. No pressure by other people.

Dis: establishment of a relaxed and sympathetic atmosphere. Ability of the interviewer to ask intelligent follow up questions to identity the reasons for behaviours and opinions.

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9
Q

Primary research: focus groups ads and dis

A

Focus groups: discussions in small groups

Ads; creative interaction between participants
Generation of a large quantity of info in a short time
Costs ads compared with personal interviews

Dis: aggregation of opinions is diffuse
Limited options for efficient, computer based processing

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10
Q

Types of primary research: observations

A

Without surveys: documentation of the behaviour of respondents without direct influence of the researcher - explatory, casual, understanding behavioural processes, uncoveringof interrelationships

With surveys: documentation of the subconscious behavioural reactionair the respondent to the stimuli / casual testing of advertising campaigns, markets / lab regs of new products

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11
Q

Scale

A

Scale is a discrete or continuous space onto which objects are located according to measurwmnt rules

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12
Q

Measurement

A

Measurement is rules for assigning symbolisms to objects such that these either numerically represent the amount of characteristics, define whether the object falls into a certain category

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13
Q

Types of scales

A

Nominal: categorisation of others eg classification of gender, social stratum, mental status W measure in %
Methods like chi square test (contingency analysis)

Ordinal - ranking of object in order eg preference ranking of brands - metrics like median, rank, order,
Methods like ordered regression, conjoint analysis

Ratio - assignment of numerical values to objects, whereby a natural zero point exists eg weight, scale, price
Methods are all

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14
Q

Formative measurement

A

Formative indicators measure the reason for change of a construct - number of beers, time passed since last alcoholic drink

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15
Q

Reflective measurements

A

Reflective indicators measure the effects of the change of a construct that is not directly observable eg clarity of articulation, ability to walk straight, reaction speed

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16
Q

Single item scales

A

Single item measurement of a construct of with only one item eg willingness to buy scale

Ads:
Simple, direct measurement, more scales can be measured by one survey
Dis: restricted value if important facets of a construct are not taken into account
Risk of reduced reliability for measurements of a variable that cannot be directly observed

17
Q

Multi item scales

A

Multi item scales of a complex construct with multiple facets eg satisfaction scale

Ads: measurement of a phenomenon that is directly observable, increased relibikirt of the measurements for reflective scales

Dis: increased costs, danger of incorrect convulsion if the scale is erroneously defined as format reflective
Higher statistical requirements on the development and use of the scales

18
Q

Quality criteria of measurement:

Validity / reliability / generalisability

A

High reliability wit high validity all xes in the middle

High reliability with low validity all exes in outside circles but together

Low reliability with high validity in xes around circle but not grouped together

Low reliability with low validity is scattered around the circle

Generalisability. Scale can be used for measurement in different settings

19
Q

Probability sampling

A

Probability sampling: random selection of persons, prob including each person in same sample
Ads: sample remains representative of the population, derivations from the true value in the population can be calculated (sampling error)
Applications: standard application of data collection

20
Q

Non probability sampling

A

Non probability sampling: selection of people based on a non random process
Ads; fast and cost effective execution
Applications: exploratory projects, homogenous products

The three:
Snowball
Quota
Convenience

21
Q

Probability sampling procedures

A

Probability sampling procedures:
Simple random sampling
Systematic random sampling
Cluster sampling

All 3 are random sample of members of groups or interviews (eg random selection of regional units) use for interviewing of individual groups yield cost ads

22
Q

Simple random sampling

A

Simple random sampling is randomised selections of respondents by random generator, drawing from a bowl or other methods. Use it for relevant groups are sufficiently larger and equally easy.

23
Q

Systematic random sampling

A

Systematic random sampling is to pick every unit in a process that can be considered random (eg every 10th person in store)

Use it as simple to implement and takes ad of randomness in the environment

24
Q

Cluster sampling

A

Cluster sampling is randomness section for groups that have representative composition. Use it for groups that have representative composition.

25
Q

Stratified sampling

A

Stratified sampling is probability sampling of various groups within the population. Use: cost of sampling decreased of various heterogenous groups exist.

26
Q

Proportional sampling -

A

Proportions of groups in the sample correspond to those in the population. Use of the sizes in the sample should correspond exactly to the relative sizes within the population

27
Q

Disproportional sampling

A

Intentional over / under weighting of groups in the sample. Overweighting is required for small groups in order to obtain info results within groups (drivers of sport cars)

28
Q

Non probability sampling procedures:

A

Snowball sampling
Quota sampling
Convenience sampling

29
Q

Snowball sampling

A

Snowball sampling is after completion of interview, respondent is asked to name other people within a small, specialised population. Use it if pop is small and difficult to reach

30
Q

Quota sampling

A

Quota sampling is intentional selection of respondents so that quota ls for specific criteria (eg age gender income) that correspond to the population are met. Uses are for few criteria for representativeness are relevant

31
Q

Convenience sampling

A

Convenience sampling is selection of respondents who can be reached quickly and at low costs (eg students, colleague)

Uses are for small sampling are sufficient for thepurpsoe of the study. It is used for pre testing questionnaires