Michael Greatorex
Biographic Data
| ID | 10789595 |
|---|---|
| NAME | Michael Greatorex |
| GIVEN NAMES | Michael |
| FAMILY NAME | Greatorex |
| SIGNATURE | GREATOREX M |
| AFFILIATIONS | University of Manchester |
| VERIFIED | No |
| TOTAL WORKS | 32 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 32 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Primary Data
Primary data are collected specifically to address a particular research issue.
Structural Equation Models
Structural equation models bring together research methods in a holistic way.
International Marketing Research
International marketing research is intended to aid Marketing decisions involving more than one country.
Primary Research
Primary research collects data specifically to address a particular research issue.
Reliability
Reliability is the extent to which a scale, for example, in a marketing research questionnaire, produces consistent results if repeated measurements are made.
Questionnaire Design
Questionnaires are associated mainly with S urvey R esearch but are used sometimes as part of experimental research.
Confidence Intervals
Estimates of population parameters, for example, the population mean, based upon data from a sample are often required.
Observation
Observation is a method of collecting data on a topic of interest by watching and recording behavior, actions, and facts.
Cross‐Tabulations
Cross‐tabulations are very popular in the analysis of survey data and they are concerned with the quantitative analysis of data where several variables are analyzed together, usually to see if there are any relationships between the variables.
Bivariate Analysis
Bivariate analysis refers to a group of statistical methods for analyzing the relationship between two variables.
Univariate Analysis
Univariate analysis is concerned with the quantitative analysis of data where each variable is analyzed in isolation.
Factor Analysis
Factor analysis, a type of multivariate analysis, is concerned with the interrelationships within a set of variables and with reducing the variables required to represent a set of observations.
Hypothesis Testing
Hypothesis testing or statistical significance testing is important in marketing research.
Validity
A scale or a measure is valid if it measures what it is intended to measure.
Sampling
Research is usually undertaken to obtain information about the characteristics or parameters of a population.
Conjoint Analysis
Conjoint analysis is a set of techniques that allows the researcher to derive indirectly the relative importance respondents place on different attributes and the utilities assigned to different values of each attribute when selecting from among several brands ( see Brand).
Forecasting
Forecasts, implicit or explicit, are used every time a marketing decision is made.
Principal Component Analysis
Principal component analysis and F actor A nalysis are two closely associated multivariate statistical techniques.
Descriptive Statistics
Unless the sample in a market research project is very small, the data will be tabulated and analyzed using a computer.
Graphical Representation
The results of marketing research can be presented in graphical form as part of the reporting procedure.
Regression and Correlation
The possibility of a relationship between a pair of variables can be investigated in a scatter diagram where each pair of values is plotted as a point on a graph, where the axes are used to represent the variables.
Survey Research
Survey research is one of the four main sources of P rimary D ata, the others being O bservation, Q ualitative R esearch, and E xperimentation.
Discriminant Analysis
Discriminant analysis is used when there are observations from a sample of a population on many variables for cases which belong to two or more known groups.
Multivariate Methods (Analysis)
Multivariate methods of data analysis involve the consideration of relationships between more than two variables and, as such, extend U nivariate A nalysis and B ivariate A nalysis of data.
Projective Techniques
Projective techniques are a group of Q ualitative R esearch methods which are useful when it is felt that a typical direct questionnaire may not be appropriate in providing the information sought.
Modelling consumer risk reduction preferences from perceived loss data
Primary Data
Primary data are collected specifically to address a particular research issue.
Structural Equation Models
Structural equation models bring together research methods in a holistic way.
International Marketing Research
International marketing research is intended to aid Marketing decisions involving more than one country.
Primary Research
Primary research collects data specifically to address a particular research issue.
Reliability
Reliability is the extent to which a scale, for example, in a marketing research questionnaire, produces consistent results if repeated measurements are made.
Questionnaire Design
Questionnaires are associated mainly with S urvey R esearch but are used sometimes as part of experimental research.
Confidence Intervals
Estimates of population parameters, for example, the population mean, based upon data from a sample are often required.
Observation
Observation is a method of collecting data on a topic of interest by watching and recording behavior, actions, and facts.
Cross‐Tabulations
Cross‐tabulations are very popular in the analysis of survey data and they are concerned with the quantitative analysis of data where several variables are analyzed together, usually to see if there are any relationships between the variables.
Bivariate Analysis
Bivariate analysis refers to a group of statistical methods for analyzing the relationship between two variables.
Univariate Analysis
Univariate analysis is concerned with the quantitative analysis of data where each variable is analyzed in isolation.
Factor Analysis
Factor analysis, a type of multivariate analysis, is concerned with the interrelationships within a set of variables and with reducing the variables required to represent a set of observations.
Hypothesis Testing
Hypothesis testing or statistical significance testing is important in marketing research.
Validity
A scale or a measure is valid if it measures what it is intended to measure.
Sampling
Research is usually undertaken to obtain information about the characteristics or parameters of a population.
Conjoint Analysis
Conjoint analysis is a set of techniques that allows the researcher to derive indirectly the relative importance respondents place on different attributes and the utilities assigned to different values of each attribute when selecting from among several brands ( see Brand).
Forecasting
Forecasts, implicit or explicit, are used every time a marketing decision is made.
Principal Component Analysis
Principal component analysis and F actor A nalysis are two closely associated multivariate statistical techniques.
Descriptive Statistics
Unless the sample in a market research project is very small, the data will be tabulated and analyzed using a computer.
Graphical Representation
The results of marketing research can be presented in graphical form as part of the reporting procedure.
Regression and Correlation
The possibility of a relationship between a pair of variables can be investigated in a scatter diagram where each pair of values is plotted as a point on a graph, where the axes are used to represent the variables.
Survey Research
Survey research is one of the four main sources of P rimary D ata, the others being O bservation, Q ualitative R esearch, and E xperimentation.
Discriminant Analysis
Discriminant analysis is used when there are observations from a sample of a population on many variables for cases which belong to two or more known groups.
Multivariate Methods (Analysis)
Multivariate methods of data analysis involve the consideration of relationships between more than two variables and, as such, extend U nivariate A nalysis and B ivariate A nalysis of data.
Computer Science (26 works) · Mathematics (15 works) · Statistics (14 works) · Psychology (5 works) · Advanced Statistical Methods and Models (4 works) · Econometrics (4 works) · Physics (4 works) · Artificial Intelligence (3 works) · Business (3 works) · Data science (3 works)