Study sets, textbooks, questions
Upgrade to remove ads
MKTG Research Mark Davis Final
Terms in this set (103)
Section of a small number of elements from a larger defined target group of elements
a research study that includes data about every member of the defined target population.
The identifiable set of elements of interest to the researcher
Defined Target population
the complete set of elements identified for investigation
the target population elements available for section during the sampling process
the list if all eligible sampling units
Central limit theorem (CLT)
the sampling distribution derived from a simple random sample will be approximately normally distributed.
Any type of bias that is attributable to mistakes in either drawing a sample or determining the sample size.
A bias that occurs in a research study regardless of whether a sample or census is used.
Each sampling unit in the defined target population has a known probability of being selected for the sample.
Non probability Sampling
Sampling designs in which the probability of selection of each sampling unit is not known.
Simple Random Sampling
A probability sampling procedure in which every sampling unit has a known and equal chance of being selected.
Systematic Random Sampling
defined target population is ordered and selected systematically.
Stratified random sampling
Separation of the target population into different groups, called strata, and the selection of samples from each stratum.
Proportionately Stratified sampling
each stratum is dependent in its size relative to the population.
Disproportionately Stratified Sampling
size of each stratum is independent of its relative size in the population.
sampling units are divided into mutually exclusive and collectively exhaustive subpopulations called clusters
clusters are formed by geographic designations.
a non-probability sampling method
sampling are drawn at the connivence of the researcher.
A non probability sampling method
participants are selected according to an experienced individual;'s belief that they will meet the requirements
A non probability sampling method
participants are selected according to respecified quotas regarding demographics attitudes , behaviors, or some other criteria.
A non probability sampling method
set of respondents are chosen, and they help the researcher identify additional people to be included in the study.
The acceptable amount of error in the sample estimate.
The blueprint or framework needed to ensure that the data collected are representative of the defined target population.
A formal framework consisting of a set of questions and scales designed to generate primary raw data.
Open-ended questions formatted to allow respondents to reply in their own words.
Closed-ended questions that require the respondent to choose from a predetermined set of responses or scale points.
Included income, sexual beliefs or behaviors, medical conditions, financial difficulties, alcohol consumption, and so forth that respondents are likely to respond to incorrectly.
Any questions that prevent or distort the fundamental communication between the researcher and the respondents.
Leading (loaded), or double- barreled
Used if the next question should be responded to only by respondents who meet a previous condition.
Gives the respondent an overview of the research
Screening Questions / Filter Questions
identify qualified prospective respondents
prevent unqualified respondents form being included in the study.
Research questions section
second section of the questionnaire that focuses in the research questions
Response order bias
Occurs when the order of the questions, or of the closed-end responses to a particular question, influences the answer given.
Common Methods Variance (CMV)
A based variance that result form the measurement used in a questionnaire.
Supervisor Instruction form
A form that serves as a blueprint for training people on how to execute the interviewing process in a standardized fashion; it outlines the process by which to conduct a study that uses personal and telephone interviews.
Used to train interviewers how to select prospective respondents, screen them for eligibility, and conduct the actual interview.
A tracking system that collects data from respondents and helps ensure that subgroups are represented in the sample as specified.
A recording document that gathers basic summary info about an interviewers performance efficiency
Asking key informants to read the researcher's report to verify that the analysis is accurate.
The categorization and coding of data that is part of the theory development process in qualitative data analysis.
Placing portions of transcripts into similar groups based on their content
A document that lists the different themes or categories for a particular study.
Labels or numbers that are used to track categories in a qualitative study.
developing and refining theory and constructs by analyzing the differences and similarities in passages, themes, or types participants.
The process of moving form the identification of themes and categories to the development of theory.
2. Selective Coding
A relationship in which a variable can both cause and be caused by the same variable.
Building a storyline around one core category
Working through the data several times in order to modify early ideas
Writing down thoughts as soon as possible after each interview, focus group, or site visit.
Negative case Analysis
Deliberately looking for cases and instances that contradict the ideas and theories that researchers have been developing.
affirms that key members within a culture or subculture agree with the findings of a research report.
The degree of similarity in the coding of the same data by different researcher.
The degree of rigor, believability, and trustworthiness established by qualitative research.
Addressing the analysis from multiple perspectives
A process in which external qualitative methodology or topic area specialists are asked to review the research analysis.
Quotas from research participants that are used in research reports.
The process of determining, to the extent possible, whether a survey's interviews or observations were conducted correctly and are free of fraud or bias.
Cheating or falsification in the data collection process.
The process where the raw data are checked for mistakes made be wither the interviewer or the respondent.
Grouping and assigning values to various responses form the survey instruments.
Those tasks involved with the direct input of the coded data into some specified software package that ultimately allows the research analyst to manipulate and transform the raw data into useful info
The simple process of counting the number of observations that are classified into certain categories.
illustrated by constructing a one- way frequency table
Categorization of single variables existing in a study
Simultaneously treating two or more variables in the study;
The quality of a report that is related to its accuracy, believability, and professional organization.
The quality os a report that is based on clear and logical thinking, precise expression, and accurate presentation.
presents the major points
Contains background information necessary for a complete understanding of the report.
Communicates how the research was conducted. and issues
Weaknesses in research methodology that might affect confidence in research conclusions.
A section following the main body of the report; used to house complex, detailed, or technical information.
Sampling is used when
it is impossible or unreasonable to conduct a census
Sampling decisions influences
1. Type of survey design
2. Survey instrument
CLT in understanding the concepts of
1. Sampling error
2. Statistical Significance
3. Sample Sizes
Types of probability sampling
Simple random sampling
Systematic random sampling
Stratified random sampling
Types of Non probability sampling
Examples of Systematic random sampling
Optimal Allocation Sampling
Sample size of a stratum is determined based on its relative size and variability
Used when a single source cannot generate a large or low incidence sample
Factors to consider in Selecting the sampling design
Degree of accuracy
Knowledge of the target population
Scope of the Research
Statistical Analysis needs
Factors that determine sample sizes with probability designs
Level of confidence
Degree of precision
for Non probability sample size what cannot be used
Steps in developing a sampling plan
1. Define the target population
2. select the data collection method
3. Identify the sampling frames needed
4. Select the appropriate sampling method
5. Determine necessary sample sizes and overall contact rates
6. Create an operating plan for selecting sampling units
7. Execute the operational plan
Steps in Questionnaire Design
1. Confirm Research Objectives
2. Select Appropriate data collection method
3.Develop questions and scaling
4. Determine layout and evaluate questionnaire
5. Obtain initial client approval
6. Pretest, revise, and finalize questionnaire
7. Implement the survey
Online Survey issues
time taken to complete
look of it on computer
Guide for conducting a larger main study
Small Scale version of the intended research study
Separate written communication to a prospective respondent
Qualitative research is useful in
Providing knowledge for decision makers
Qualitative Data five features
Textual and visual
Goal Increase understanding
Ongoing and iterative
Employs member checking
Inductive in nature
Quantitative Data Four features
Goal Quantify variables impact on relationships
Guided entirely be researchers
Data Reduction includes
Categorization and coding and theory buildings
Role of Tabulation
Use in qualitative is controversial
Helps find themes
Promotes honest research
Common types of data display
5 ways to draw conclusions and verify results
Writing the Report
Conclusions and recommendations
determines whether a survey's interviews or observations were conducted correctly and are free of fraud or bias
Areas covered by Validation
A well designed and well implemented research project should
successfully communicate to the client
Types of readers
read executive summary
read summary and findings
Read the whole thing
Descriptive statements that generalize the results if the research
Address how the client can solve the problem at hand through the creation of a competitive
Other sets by this creator
PE EC-12 Practice Test 1
PE EC-12 TEST
Operations Management Rigel Page Exam 3 Chp 13-16
Strategic Policy Exam David Kee