Marketing Research Exam Review

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Practice flashcards covering key concepts and terms from the Marketing Research course for Exam 2 preparation.

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30 Terms

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What is a Construct?

An abstract idea or concept formed in a person’s mind, generally not directly observable and used to represent complex phenomena in research.

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What are some common constructs that we measure in marketing?

Brand Awareness, Brand Loyalty, Consumer Satisfaction, etc

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Nominal Scale

A scale that partitions data into mutually exclusive and collectively exhaustive categories without any quantitative value, e.g., gender or occupation.

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Ordinal Scale

A scale that maintains the characteristics of nominal scales but can also order data according to the magnitude of alternatives.

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Interval Scale

A scale with equal intervals between points, allowing for comparison of differences but lacking a true zero point.

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Ratio Scale

A scale that includes a true zero point, allowing for meaningful comparison of absolute differences between values.

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Validity

The degree to which what the researcher was trying to measure was actually measured.

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Reliability

The extent to which a measurement scale consistently provides similar results over time and is free from random error.

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Likert Scale

A balanced scale allowing respondents to indicate their level of agreement with statements, typically on a five-point or seven-point scale.

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Semantic Differential Scale

Respondents rank a concept between dichotomous pairs of words or phrases

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Double-Barreled Questions

Questions that combine two or more issues into a single question, causing ambiguity in responses.

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Open-Ended Questions

Questions that allow respondents to answer in their own words, often used in exploratory research.

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Closed-Ended Questions (multiple choice, fixed alternative)

Questions that provide respondents with specific limited-alternative responses, easier for analysis and it eliminates interviewer bias as well as makier it easier for respondents

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Pre-testing

The testing of the questionnaire on a small sample of respondents for the purpose of identifying and eliminating potential problems.

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Test Marketing

A strategy used by companies to introduce a new product, service, or marketing campaign in a limited market before a full-scale launch

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Independent Variable (treatment)

A variable that is manipulated or changed in an experiment to observe its effects on the dependent variable.

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Dependent Variable

A variable that is not directly controlled and happens as a result of a independent variable.

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Extraneous Variable

Factors one does not control but has to live with, such as the weather, participants’ mood, etc..

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Descriptive Statistics

Statistics that summarize characteristics of a dataset, often including measures of central tendency like mean, median, and mode.

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Mean

the sum of all the values in the data set divided by the number of values

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Median

the middle value when the data is arranged in ascending orderIf there is an even number of values, the median is the average of the two middle values.

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Mode

the values that appear most often in a data setin a given dataset, representing the most frequently occurring value or values.

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ANOVA

Analysis of Variance; a statistical test used to determine if there are significant differences between the means of three or more groups.

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Categorical variable

Represents groups or categories that do not have a numerical value. Categorical variables can be nominal or ordinal.

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Continuous Variable

A numeric and can take on any value within a range

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chi-square test

test ofor association between categorical variables or goodness of fit

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one-sample t-test

compare the mean of a single sample to a known population mean

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paired sample t-test

compare the means of two related groups (same subjects measured twice)

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independent sample t-test

compare the means of two independent groups

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correlation test

determine the strength and direction of the relationship between two continuous variables