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Summary Adv research methods unit 8 assignment.docx PS:504 Experimental Research Design Department of Psychology, Purdue University Global PS:504 Advanced Research Methods Experimental Research Design Experimental research design is a systematic, scientifi
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Adv research methods unit 8 PS:504 Experimental Research Design Department of Psychology, Purdue University Global PS:504 Advanced Research Methods Experimental Research Design Experimental research design is a systematic, scientific, detailed plan that is determined before the experiment b...
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PS:504
Experimental Research Design
Department of Psychology, Purdue University Global
PS:504 Advanced Research Methods
Experimental Research Design
Experimental research design is a systematic, scientific, detailed plan that is determined
before the experiment begins. Experimental research designs concentrate on the construction of
research focused on causal relationships with manipulative variables (Bordens & Abbott, 2017.
During this process, the manipulated independent variables can be observed and measured for
changes in the respondent variables. Manipulation of independent variables can happen in two
ways, qualitatively and quantitatively. Qualitative manipulation is a nonparametric design, and
quantitative manipulation is a parametric design (Bordens & Abbott, 2017). The success of
experimental research relies on confirming the dependent variables' changes based on the
manipulation of the constant, independent variable. The goal is to obtain a specific, notable cause
and effect result, which could mean the combination of design techniques for what is known as
"mixed model design" (Emerson, 2019 p. 1)
Experimental Design Types
There are three basic experimental designs, between-subjects design, within-subjects
design, and single-subject design (Bordens and Abbott, 2017). Each of these approaches exposes
the subjects to varying degrees of the independent variable. The Between-subjects design
randomly exposes different people to different levels of the independent variable. In contrast,
the within-subjects design exposes each subject or participant to all independent variable levels;
this is more of a counterbalanced approach.
, The single-subject design differs from the other two forms because it focuses on a subject's
individual behavior and not on groups. Choosing the right experimental design for the specific
questions the research is asking is essential.
Single-factor Randomized Group Designs
Experimental designs have a variety of designs to choose from (Bordens & Abbott,
2017). Single-factor randomized group design is one of these designs. This design variant
focuses on the effect the independent variable has on the dependent variable. The goal is to
assign different groups to randomly chosen subjects and expose each group to different
independent variable levels while treating the groups the same (Bordens & Abbott, 2017).
Randomized Multi-group Designs
Along with randomized two-group designs, randomized multi-group designs are another
variant of experimental research design and a single-factor randomized group design variation.
Randomized multi-group designs and two-group designs are similar. Instead of only using two-
groups, the multi-group design adds on or more levels to the independent variable to test the
hypothesis (Bordens & Abbott, 2017). This design also allows for multiple control groups and
more alternate explanations of the research results (Bordens & Abbot, 2017).
Matched-group Designs
Matched- group designs use two subjects with similar characteristics in randomly chosen
groups with one subject per group (Bordens & Abbott, 2017). The two subjects must respond
similarly to stimuli and be from similar backgrounds for this design to work correctly (N. &
Pam, 2015). The goal is to determine if there will be different responses within the other groups
from two subjects that would respond similarly.
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