Name :
Nofyan Adit Nugroho
Class : English Department 6i
NIM : 133221270
Subject : Data
Analysis Quantitative and Qualiative Research
Lectured by : Zainal Arifin. M,Pd.
The task
1.
`What
is the definition of Correlational study ?
2.
What is the definition of experimental study ?
3.
How is the procedure in data analysis of
correlational study ?
4.
How is the procedure in data analysis of
experimental study ?
The answers
1.
Definition
of Correlational Study
Correlational study is the kind of research which discern the
correlation between one or some variables. It sometimes called as associational
research. According to Gay ( 1981 : 183)
Correlational study has a purpose to identify the correlation between
the variable and use it’s correlation to make prediction.
2.
Definition
of Experimental Study
Wiersma (1991: 91) defines an experimental study as a situation of
experiment at least one independent variable that called as variable
experimental. According to Gay (1981) experimental study is the only one of
research methodology that can examine a
valid hypotheses and it’s related to the cause and effect relationship. Then,
Emzir ( 2012: 64) states experimental study as the most common and productive research
method chosen by the researcher. Experimental study is also the only one type
of research that more accurate and thrifty in conduct the relations of cause
and effect than the others. The
characteristic of this research are : manipulation, control, and observation.
3.
The
procedure in data analysis of correlational study
Analyze the data from
correlational research is analyzed by using statistical tests that depend
greatly on the type of variables being studied. Variables can be either continuous,
meaning that they change according to small increments (e.g. test scores),
or dichotomous, in which the variable is divided into categories (e.g.
gender, grade). Then, if the two of variables that is correlated the result is coefisien correlated. A coefficent correlation decimal
number between 0,00 and + 1,00 or -0,00 and – 0,00 which identify the
degree of the relationship two variables. If
the coeffecient is approaching +
1.00, the two variables have a positive
relationship. It means that someone with a high score on one variable will have the highest score on the
other variable and the person with the lowest score on one variable will have the low score in the other variables. An increasing in the variables connected or associated with the increasing in the other variables. If the coefficient correlation close
to 0,00 both variables are not related. It means that a person's score in one variable do not identify the person's score in the other variable. If the coefficient is
approaching-1.00, both variables had the opposite (negative). Therefore any person with a high score in one variable will have the low score on the other variable. Improving the variable would be associated with a decreasing in other
variables and vice versa (Gay, 1981:185).
4. The procedure in data analysis of
experimental study
Analyzing data of experimental
study was done after administering the independent variable and measuring the
effect on the dependent variable, the researcher should have at least two sets
of numerical (quantitative) data. If they have two different groups of subjects, a
t-test of the difference between the means (of the dependent variable) can be
done. Or an ANOVA (analysis of variance) or f test can be done for two or more
groups, or a "within subjects" method (eg pre & post test of the
same subjects).
References :
Arifin, Zainal.
2012. Penelitian pendidikan. Bandung : PT Remaja Rosdakarya.
Emzir. 2009. Metodologi
Penelitian Pendidikan. Jakarta: PT Raja Grafindo Jakarta.
