Dear Researchers,
The topic of my research is Investigating youths perception and attitudes toward social entrepreneurship in Wewak Urban LLG East Sepik Province Papua New Guinea. I conducted an online survey using unipolar scale . My question is, what type of analysis should I use to analyze my data?
Rhianon Allen
Do you have any specific hypotheses, and exactly what ate your measures and design?
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Marios Didachos
Descriptive Analysis: Start by conducting descriptive analysis to summarize the responses to each survey item. Calculate basic statistics such as mean, median, mode, standard deviation, and range to understand the central tendency and variability of the responses. You can also create visualizations such as histograms or bar charts to present the distribution of responses. Frequency Analysis: Determine the frequency of responses for each point on the scale. This can help you understand the distribution of responses and identify any patterns or trends in how respondents rated the survey items. Comparative Analysis: Compare the responses across different groups or segments of your survey population. For example, you could compare responses by demographic variables (e.g., age, gender, location) or by other relevant characteristics (e.g., customer type, product usage). This can help identify any differences in perceptions or attitudes among different groups. Correlation Analysis: Explore the relationships between survey items by calculating correlations. Determine whether there are any significant associations or correlations between pairs of survey items. This can help identify underlying patterns or relationships in the data. Factor Analysis: Conduct factor analysis to identify underlying dimensions or factors that explain the variation in responses to multiple survey items. This can help simplify the data by reducing the number of variables and uncovering the underlying structure of the survey instrument. Regression Analysis: If you have additional variables of interest (e.g., predictor variables), you can conduct regression analysis to examine the relationship between these variables and respondents' ratings on the survey items. This can help identify factors that influence respondents' perceptions or attitudes. Reliability Analysis: Assess the reliability of the survey instrument by calculating internal consistency measures such as Cronbach's alpha. This can help determine the extent to which the survey items are measuring the same underlying construct reliably. Validity Analysis: Evaluate the validity of the survey instrument by examining whether it is measuring what it intends to measure. This could involve conducting content validity, construct validity, or criterion validity analyses to assess the accuracy and appropriateness of the survey items.
If you have conducted an online survey using a 5-point unipolar scale (where respondents rate items on a scale from 1 to 5, with 1 being the lowest and 5 being the highest), there are several types of analysis you can consider:
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