bshs382 | undergraduate
Research And Statistics
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Survey Design and Describing Data
- Calculate the variance and standard deviation of a population.
- Compute the confidence interval around a population mean.
- Calculate z scores for nomally distributed data.
- Develop a survey research design to minimize bias and collect valuable data for human services research.
- Define descriptive statistical measures.
Measuring Correlation and Making Inferences
- Distinguish among methods of establishing correlation between variables.
- Graph the correlation of variables.
- Explain the purpose of null hypothesis testing.
- Interpret the statistical significance of r.
- Define statistical inference.
- Explain the logic of hypothesis testing and the role of the null hypothesis.
Statistical Significance and Tests
Describe the Z- and T-tests for comparing differences between means.
- Describe how to use ANOVA to compare more than two conditions in research.
- Explain the purpose of chi-square and when to apply it.
- Assess the effectiveness of human services research.
- Differentiate between descriptive and inferential statistics and how they support the human services research process.
Introduction to Research and the Scientific Method
- Identify ethical considerations in behavioral research.
- Describe the key elements of a systematic research study.
- Explain the scientific method applied within the context of human services and administrative research.
- Differentiate between qualitative, quantitative, and mixed method approaches to research.
Observation and Measurement
- Differentiate among systematic strategies of data collection.
- Differentiate between field studies, surveys, quasi-experimental methods, and randomized experiments in human services research.
- Define reliability and validity in measurement.
- Describe types of reliability and validity relevant in human services and managerial research.
- Explain how measures of reliability and validity are important for data collection methods and instruments in human services and managerial research.
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