research: quantitative research design Flashcards
quantitative research
Focuses on capturing the relationship between two variables that can be measured numerically. Typically, quantitative research tests a hypothesis looking at a descriptive or causal relationship among variables. Results usually involve numbers that are typically displayed in a statistically significant manner
mixed-methods research
Blends or mixes designs from quantitative and qualitative research. The most important characteristic of mixed-method research is that it can strengthen what either of the research designs provides individually. Generally, two types of mixed-method research designs are considered: (a) concurrent design (quantitative and qualitative data are collected at the same time) and (b) sequential design (either quantitative or qualitative data are collected first). When researchers employ qualitative research strategies first, they are using an exploratory design. When researchers introduce a study with quantitative research strategies, they are using an explanatory design.
two types of mixed methods research:
concurrent and sequential
pilot study
Smaller than a full-scale study, designed to assess the feasibility of expanding a small study to a much larger scale
Nonexperimental Research Designs
A type of quantitative research design that is intended to observe and outline the properties of a variable. No intervention is involved, and thus no variables or conditions are manipulated.
descriptive design
The most prevalent category of nonexperimental research design; includes thoroughly describing a variable at one time (simple descriptive design) or over time (longitudinal design).
trend study
Involves assessing the general population over time, with new individuals sampled each time data are collected.
cohort study
Involves assessing the same population over time.
panel study
A study that looks at the same individuals over time
comparative design
A type of nonexperimental design that allows the researcher to investigate group differences for a particular variable in order to determine if there is a difference between the groups.
correlational research design
A type of nonexperimental research design that allows the researcher to describe the relationship between two variables. The variables are not experimentally manipulated; therefore, the researcher cannot determine a causal relationship. Instead, this design computes a correlation coefficient that describes the strength and direction of a relationship.
coefficient of determination
The amount of shared variance between the two variables; computed by squaring the correlational coefficient.
ex post facto research design
Also referred to as causal-comparative designs. Nonexperimental research designs that involve looking at potential causes of a dependent variable after the fact (after data have been collected). Specifically, this design examines how an independent variable affects a dependent variable by assessing whether one or more pre-existing conditions possibly caused differences in groups. Unfortunately, independent variables or conditions cannot be manipulated as the data have already been collected.
within-subject design
A general category of experimental designs that involve assessing changes that occur within the participants in a group as they experience some intervention.
between-groups design
A general category of experimental research designs that involves exploring the effects of a treatment or intervention between two groups or among more than two groups.