What is the purpose of using a well-designed, pre-tested questionnaire in data collection?
To ensure accuracy
It helps in collecting reliable data by training data collectors thoroughly.
What is Cronbach’s Alpha used for in reliability testing?
To check if the questionnaire gives consistent results
It is a statistical measure of internal consistency.
What ethical considerations must be taken when collecting data?
Participants should be assured of their rights and the ethical handling of their data.
How can measurement error be minimized in data collection?
This ensures that questions are understandable and relevant to the respondents.
What is construct validity and how can it be tested?
Tested using factor analysis in SPSS
It checks if questions accurately measure the intended concepts.
What techniques can enhance qualitative data reliability?
These techniques help confirm findings and maintain data integrity.
What procedures ensure secondary data validity?
Using reputable sources like the Pakistan Stock Exchange is crucial.
What is triangulation in research?
Using multiple methods or data sources to enhance credibility
For example, combining surveys and focus groups can validate findings.
How does convenience sampling work?
Selecting respondents who are easiest to reach
This method may lead to biased results that are not generalizable.
What is the justification for using purposive sampling?
To interview individuals with specific knowledge
This method relies on the researcher’s judgment to select experts.
How does snowball sampling operate?
Finding initial respondents and asking them to refer others
This can lead to a homogenous sample and potential bias.
What is the process of simple random sampling?
Assigning numbers to participants and using a random number generator
This ensures each participant has an equal chance of selection.
What is the difference between stratified random sampling and cluster sampling?
Stratified sampling ensures representation from all groups, while cluster sampling is more practical for large areas.
What is the rationale for stratification in sampling?
To ensure different job roles are fairly represented
This is important for accurate results across various employee motivations.
How can credibility be ensured in snowball sampling?
Start with a diverse initial group of respondents
This helps reduce bias by including different networks.
How can randomness be managed in sampling?
Select the first participant randomly, not just the next in line
This avoids bias related to the time of day.
What are the steps in thematic analysis?
This structured approach helps in identifying patterns in qualitative data.
What is the process for identifying and coding themes?
Transcribe data, assign codes, and group into themes
This helps in organizing qualitative data for analysis.
What methods ensure inter-coder reliability?
High agreement between coders indicates reliable analysis.
What is the goal of Braun & Clarke’s approach?
To move from raw text to identified patterns and categories
This involves a systematic process of thematic analysis.
What does a correlation coefficient close to +1 indicate?
A strong positive relationship between variables
For example, high advertising spend linked to high sales growth.
What does the R² value represent in multiple regression?
The percentage of variation explained by predictors
An R² of 0.60 means 60% of the variation in Customer Loyalty is explained.
What measures should be reported in descriptive statistics?
These measures provide insights into the data distribution.
What does a p-value less than 0.05 indicate?
The relationship is statistically significant
This means the observed link is unlikely due to chance.