Earlier, we discussed the idea that science is based on observation and that those observations must be systematic. This means that observations must be carefully planned to be meaningful in the scientific context. In this section, we will consider many different methods of systematically gathering data for analysis.
Upon completion of this module, the student will be able to:
- Analyze and interpret numerical data and variable relationships in quantitative research methods.
- Elucidate the principles, challenges, and ethical considerations of experimental designs in social research, focusing on causality and randomization.
- Differentiate and evaluate true experimental designs, including pretest-posttest and Solomon Four-group designs, with an emphasis on their internal and external validity.
- Determine the suitability and limitations of quasi-experimental designs in various research contexts, like nonequivalent control group and static group comparisons.
- Examine various qualitative research methodologies, including phenomenological, historical, case studies, and action research, with a focus on pattern identification and theoretical implications.
Modification History File Created: 07/25/2018 Last Modified: 11/14/2023
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