The annual report. Currently, the Islamic banks

The
purpose of this research is to determine the profitability determinants of
Islamic banks in Malaysia. A brief summary of bank population been discussed in
this chapter. Furthermore, there will be the listing of Islamic bank in
Malaysia as the sampling of this research. This chapter will discuss the research
methodologies that were applied. The collection method and the type of test
being used are explained in this chapter. The test that been used is normality
test, reliability test, descriptive statistic. Besides, hypothesis testing has
also been discussed in this chapter.  This
research will be done in Malaysia. Malaysia is a highly open, upper-middle
income economy. The data that were collected for this research is for five
years, from 2012 until 2016. Thus, 16 Islamic banks in Malaysia been selected
in order to complete this research. This research will be review all 16 Islamic
banks annual report. Currently, the Islamic banks in Malaysia comprise of
domestic full-fledged Islamic banks, foreign full-fledged Islamic banks, and
the Islamic banking subsidiary. There are currently two full-fledged domestic
Islamic banks operating in Malaysia, Bank Islam Malaysia Berhad and Bank
Muamalat Malaysia Berhad. There are also six foreign Islamic banks and eight
Islamic subsidiary banks (BNM, 2017). 
Below are the list of Islamic bank in Malaysia. For the sampling type purposive sampling been used. Purposive
sampling is a non-probability technique that involves the conscious selection
by the researcher based on the characteristic and objective of the study
(socialresearchmethods.net, 2006). The purposive sampling technique, also
called judgment sampling, is the deliberate choice of a participant due to the
qualities the participant possesses. Etikan & Alkassi
(2016), mentioned in their research that purposive sampling technique is a
non-random technique does not require a set number of participants or an
underlying theories. This study used
total population sampling where all of the Islamic banks and Islamic banks
windows are being selected for this study. The population is picked based on
certain criteria which for our study, we focused on Shariah principle based
products that were offered by the banks. The banks selected are also not only
from local operated banks, foreign banks that offered Islamic Shariah principle
products are also included in this research. For this research,
secondary data collection was used. According to Doolan & Froelicher
(2009), secondary data analysis takes this one step further, including a review
of previously collected data in the area of interest. While secondary data
analysis is a flexible approach and can be utilized in several ways, it is also
an empirical exercise with procedural and evaluative steps, just as there are
in collecting and evaluating primary data. The normality test used in this study is Shapiro- Wilk
test. This test was chosen to observe the normality of the data distribution.
(webspace.ship.edu/normality test, 2017) stated that graphical methods are
typically not very useful when the sample size is small. According to (statistics.laerd.com,
2017), it states that Shapiro- Wilk test is suitable for small sampling size
less than 50 sample. To test the reliability of this study, Augmented
Dickey-Fuller test
was chosen to determine whether the data has a unit root where it able to test the
time series of data either stationary or not stationary. According to (thoughtco.com,
2017), it is the simplest approach to test for a unit root, but most economic
and financial times series have a more complicated and dynamic structure that
can be captured by a simple autoregressive model. Thus, the augmented
Dickey-Fuller test help to solve the problem. Descriptive
statistics were used in this study to determine the characteristic of the study. According to
(socialresearchmethods.net, 2017), descriptive statistics are used to describe
the basic features of the data in a study. Descriptive statistics are the
summarization of the sample and the measures. Large amount of data can
be simplify in a sensible way. Correlation
analysis is a hypothesis testing for this research. To test the correlation,
Spearman Rank Correlation has been used in this study. The purpose of choosing
this test is to study whether there is any relationship between independent
variables and the dependent variable of this study. (statisticshowto.com)
stated that correlation between sets of data is a measure of how well they are
related.

 

The
purpose of this research is to determine the profitability determinants of
Islamic banks in Malaysia. A brief summary of bank population been discussed in
this chapter. Furthermore, there will be the listing of Islamic bank in
Malaysia as the sampling of this research. This chapter will discuss the research
methodologies that were applied. The collection method and the type of test
being used are explained in this chapter. The test that been used is normality
test, reliability test, descriptive statistic. Besides, hypothesis testing has
also been discussed in this chapter.  This
research will be done in Malaysia. Malaysia is a highly open, upper-middle
income economy. The data that were collected for this research is for five
years, from 2012 until 2016. Thus, 16 Islamic banks in Malaysia been selected
in order to complete this research. This research will be review all 16 Islamic
banks annual report. Currently, the Islamic banks in Malaysia comprise of
domestic full-fledged Islamic banks, foreign full-fledged Islamic banks, and
the Islamic banking subsidiary. There are currently two full-fledged domestic
Islamic banks operating in Malaysia, Bank Islam Malaysia Berhad and Bank
Muamalat Malaysia Berhad. There are also six foreign Islamic banks and eight
Islamic subsidiary banks (BNM, 2017). 
Below are the list of Islamic bank in Malaysia. For the sampling type purposive sampling been used. Purposive
sampling is a non-probability technique that involves the conscious selection
by the researcher based on the characteristic and objective of the study
(socialresearchmethods.net, 2006). The purposive sampling technique, also
called judgment sampling, is the deliberate choice of a participant due to the
qualities the participant possesses. Etikan & Alkassi
(2016), mentioned in their research that purposive sampling technique is a
non-random technique does not require a set number of participants or an
underlying theories. This study used
total population sampling where all of the Islamic banks and Islamic banks
windows are being selected for this study. The population is picked based on
certain criteria which for our study, we focused on Shariah principle based
products that were offered by the banks. The banks selected are also not only
from local operated banks, foreign banks that offered Islamic Shariah principle
products are also included in this research. For this research,
secondary data collection was used. According to Doolan & Froelicher
(2009), secondary data analysis takes this one step further, including a review
of previously collected data in the area of interest. While secondary data
analysis is a flexible approach and can be utilized in several ways, it is also
an empirical exercise with procedural and evaluative steps, just as there are
in collecting and evaluating primary data. The normality test used in this study is Shapiro- Wilk
test. This test was chosen to observe the normality of the data distribution.
(webspace.ship.edu/normality test, 2017) stated that graphical methods are
typically not very useful when the sample size is small. According to (statistics.laerd.com,
2017), it states that Shapiro- Wilk test is suitable for small sampling size
less than 50 sample. To test the reliability of this study, Augmented
Dickey-Fuller test
was chosen to determine whether the data has a unit root where it able to test the
time series of data either stationary or not stationary. According to (thoughtco.com,
2017), it is the simplest approach to test for a unit root, but most economic
and financial times series have a more complicated and dynamic structure that
can be captured by a simple autoregressive model. Thus, the augmented
Dickey-Fuller test help to solve the problem. Descriptive
statistics were used in this study to determine the characteristic of the study. According to
(socialresearchmethods.net, 2017), descriptive statistics are used to describe
the basic features of the data in a study. Descriptive statistics are the
summarization of the sample and the measures. Large amount of data can
be simplify in a sensible way. Correlation
analysis is a hypothesis testing for this research. To test the correlation,
Spearman Rank Correlation has been used in this study. The purpose of choosing
this test is to study whether there is any relationship between independent
variables and the dependent variable of this study. (statisticshowto.com)
stated that correlation between sets of data is a measure of how well they are
related.

 

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