
The increased availability of statistical analysis software is making research projects easier to undertake.
Popular Statistical Packages include:
Web Reference: Statistical
Software List
Two Goals of Data Analysis
exploratory goal: to explore the data for any trends.
functional goal: finding answers to specific questions from
the data.
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Descriptive Analysis
Any form of data may provide descriptive information. The accepted "margin of error" for opinion and behavior surveys is .05%. This is also referred to as the "level of significance" (p value of .05).
Types of Descriptive Analysis
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Frequency, the total of times a score occurs in a distribution (item). | |
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Central tendencies, gives one score or measure that
represents an entire group. | |
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Percentile measure | |
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Standard Deviation, the average distance of each score from the mean. |
Analysis of Trends
review response frequencies to see how different groups answered a particular question using cross-tabulation.
comparing means of different groups.
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Tests of Differences
Test of differences are used to determine if statistically significant differences exist between groups in the population.
Measurement Categories (each requires a different statistical analysis)
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measurement of the differences in count between two or more groups; | |
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measurement of the differences in mean attitude and opinion between two groups; | |
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measurement of the differences in mean attitude and opinion between three or more groups; |
Statistical Analyses
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chi-square (x2) | |
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T-test (t) | |
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analysis of variance (ANOVA) one-way, computes the
difference between groups. |
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Analysis of Relationships
Attempts to determine if any statistically significant differences indicate the existence of a causal relationship that can be statistically established.
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correlation coefficient (rho) |
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Factor Analysis and Reliability Checks
Internal validity relates to whether a questionnaire is measuring what it is supposed to measure.
External validity refers to the generalizability to a larger population.
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Cronbach's alpha |
[Class] [Module 8] [Chapter 9 Lesson] [Chapter 11 Lesson]
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