bshs382 | undergraduate

Research And Statistics

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This course provides an overview of research methods and appropriate use of statistics in the social sciences. The scientific method, research tools, data collection, and analysis will be reviewed. Understanding research and developing the ability to critically evaluate published research reports will be emphasized. Statistical concepts will be reviewed, and students will gain a conceptual understanding of underlying principles of research and statistical analysis. Statistics software will be introduced, and students will compute descriptive and inferential statistical data. Students will practice developing research designs and conducting statistical analyses.

This undergraduate-level course is 5 weeks This course is available to take individually or To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

topic title goes here

    Observation and 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.
    • 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.

    Introduction to Research and the Scientific Method

    • Differentiate between qualitative, quantitative, and mixed method approaches to research.
    • 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.

    Survey Design and Describing Data

    • Define descriptive statistical measures.
    • 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.

    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.
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