Marketing Research Data Collection Methods

Marketing 4.13

Marketing research data collection methods

SCALES

Rating Question

A rating question asks survey respondents to compare different items using a common scale (e.g. “Please rate each of the following objects on a rating scale of 1-10, where 1 is ‘not at all important’ and 10 is ‘very important.’”). The example below uses a rating scale of 0 to 5 to rate the aspects of service in a restaurant.

Ranking Question

A ranking question on the other hand asks survey respondents to compare a list of different objects to one another (e.g. “Please rank each of the following items in order of importance with #1 being the most important object to #10 being the least important object.”). The example below uses a ranking scale of #1 to #4 where 1 is the most important and 4 is the least important.

Nominal

”Nominal” scales could simply be called “labels.” Here are some examples, below. A good way to remember all of this is that “nominal” sounds a lot like “name” and nominal scales are kind of like “names” or labels.

Ordinal
Ordinal scales

Ordinal scales involve the ranking of individuals, attitudes or items along the continuum of the characteristic being scaled. For example, if a researcher asked farmers to rank 5 brands of pesticide in order of preference he/she might obtain responses like those in table 3.2 below.

Ordinal scales are typically measures of non-numeric concepts like satisfaction, happiness, discomfort, etc.

“Ordinal” is easy to remember because is sounds like “order” and that’s the key to remember with “ordinal scales”–it is the order that matters, but that’s all you really get from these.

Interval: scaled data that researchers can justify the use of the arithmetic mean as the measure of average.
Interval scales are numeric scales in which we know not only the order, but also the exact differences between the values. The classic example of an interval scale isCelsiustemperature because the difference between each value is the same. For example, the difference between 60 and 50 degrees is a measurable 10 degrees, as is the difference between 80 and 70 degrees. Time is another good example of an interval scale in which theincrementsare known, consistent, and measurable.

Like the others, you can remember the key points of an “interval scale” pretty easily. ”Interval” itself means “space in between,” which is the important thing to remember–interval scales not only tell us about order, but also about the value between each item.

Examples of interval scales in numeric and semantic formats

Ratio

Ratio scales tell us the exact value between units, Good examples of ratio variables include height and weight.

Ratio scales provide a wealth of possibilities when it comes to statistical analysis. These variables can be meaningfully added, subtracted, multiplied, divided (ratios). Central tendencycan be measured by mode, median, or mean; measures of dispersion, such as standard deviation and coefficient of variation can also be calculated from ratio scales. For instance the difference between 5 and 10 minutes is the same as that between 10 and 15 minutes, and 10 minutes is twice as long as 5 minutes.

This Device Provides Two Examples of Ratio Scales (height and weight)

Paired comparison2: It is sometimes the case that marketing researchers wish to find out which are the most important factors in determining the demand for a product. Conversely they may wish to know which are the most important factors acting to prevent the widespread adoption of a product. Take, for example, the very poor farmer response to the first design of an animal-drawn mould board plough. A combination of exploratory research and shrewd observation suggested that the following factors played a role in the shaping of the attitudes of those farmers who feel negatively towards the design:

 Does not ridge
 Does not work for inter-cropping
 Far too expensive
 New technology too risky
 Too difficult to carry.

Continuous rating scales: The respondents are asked to give a rating by placing a mark at the appropriate position on a continuous line. The scale can be written on card and shown to the respondent during the interview. Example on next page

Itemized rating scales: With an itemized scale, respondents are provided with a scale having numbers and/or brief descriptions associated with each category and are asked to select one of the limited number of categories, ordered in terms of scale position, that best describes the product, brand, company or product attribute being studied. Examples of the itemized rating scale are illustrated in figure 3.9.

Figure 3.9 Itemized rating scales

Semantic scales: This type of scale makes extensive use of words rather than numbers. Respondents describe their feelings about the products or brands on scales with semantic labels. When bipolar adjectives are used at the end points of the scales, these are termed semantic differential scales. The semantic scale and the semantic differential scale are illustrated in figure 3.11.

Figure 3.11 Semantic and semantic differential scales

Likert scales: A Likert scale is what is termed a summated instrument scale. This means that the items making up a Liken scale are summed to produce a total score. In fact, a Likert scale is a composite of itemized scales. Typically, each scale item will have 5 categories, with scale values ranging from -2 to +2 with 0 as neutral response. This explanation may be clearer from the example in figure 3.12.

Figure 3.12 The Likert scale