Experimental Research

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1. Experimental Research
Experimental research is used to study causality by manipulating one or more factors believed to influence behavior are changed while all other factors are held constant. The factors that are manipulated are called independent variables, while the factors that change in response to manipulations in the independent variables are called dependent variables. The process involves multiple groups, one or more experimental group and one or more control group. The experimental group is the group that has a factor manipulated, while the control groups factors are held constant. This allows researchers to compare the effect of the manipulated factor (experimental groups) against a base line (control groups). •Identify some strengths

oIdentifies a causal relationship (cause/effect)
oAllows for measurable results (quantitative) of the effects of manipulated variable •Identify some weaknesses
oExpensive and time consuming
oPotential for invalid results due to non-random assignment 2. Correlational Research
Correlation research utilizes statistical analysis of data to describe the strength of the relationship between two or more events or characteristics. The main numeric measure is called the correlation coefficient, which is a number that is used to describe the degree of association between two variables. The values range from +1.00 to -1.00. The strength of the correlation is determined by the absolute value, wherein 0 is no correlation and the higher the number the stronger the correlation. The type of correlation is determined by the sign, either positive or negative. A negative sign indicating an inverse correlation. •Identify some strengths

oAllows for predictions of behavior
oStatistical analysis allows for quantifiable analysis of the strength of the correlation •Identify some weaknesses
oDoes not indicate causality, just correlation
oRelies on observation of behavior which is easily skewed by researcher...
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