CHAPTER 3 RESEARCH METHODOLOGY
3.4 The research methodology was to study the influencing factor that affected to the
3.4.6 Decision in the simulation
3.4.7 Data analysis of Multinomial logistic regression (MLR) 3.4.1 Identifying population and samples size
The research studies was survey research by using the questionnaires that informants who were rents condominium with nearby and distant from rail transit stations, and it was primary data. Moreover, the data were collected from related agencies, the journal and the research.
1. Sample selection
The sample selection in this research was proportional sampling and the samples were 200 samples by specified in districts where are along to rail transit lines in Bangkok.
2. Sampling method
The sampling used in this research was single stage sampling. The samples were random from non-registered population who stayed in the condominium with nearby rail transit stations. The condominium was located at least 500 meters from rail transit stations. Moreover, there was another random sampling from non-registered population who stayed in the condominium with distant from the rail transit stations at least a kilometer or more
3.4.2 Research Instrumentation
The instrument used in this research was the questionnaire consisting of 2 parts;
1. The simulation 1 with the condition in the usable area 2. The simulation 2 with the condition in the budget for buying the residence
3.4.3 Data Collection
The data collection was primary data which were from the questionnaire of the 2 sample groups
1. The samples who rented condominium with nearby the rail transit
stations for 100 samples.
2. The samples who rented condominium with distant from the rail transit stations for 100 samples
3.4.4 Stated Preference (SP)
This technique was to study about the behavioral for residential choice decision of non-registered population in Bangkok case study condominium by Stated Preference (SP) which it could be created 8 simulations and alternative choices for the people who were not used to buy and get condominium for own, to choose for buying condominium with individual decision for any situation. The data was taken to analyze in the statistical method as follow;
1. The analysis for condominium choice decision by using Multinomial logistic regression (MLR) in the simulation 1 with condition for 1 bedroom and size of room space 29 sq.m,. There were variables such as; price of condominium, duration for traveling, expense for traveling, and income which were taken to created in 8 simulations. The condominium choice was referred to the condominium with nearby and distant from rail transit stations
2. The analysis for condominium choice decision by using Multinomial logistic regression (MLR in the simulation 2 with condition of condominium price for 3,000,000 bath per a room. There were variables such as; size of room space, distance for traveling to shopping mall, fitness center or swimming pool, and the number of bedrooms which were taken to created in 8 simulations. The condominium choice was referred to the condominium with nearby and distant from rail transit stations
Stated Preference (SP) could be taken to apply in the research related to the individual decision for any situation due to the agencies has simulated about the interesting of people before operating to launch the final policy to predict the achievement of policy and the project of real-estate investment later.
3.4.5 Research Designs in Fractional Factorial Designs
The method for testing that is not necessary to define all conditions in the simulation about the value changes due to the number of operation is excessive as
result to it could not operate continually. Because of the condition of the estimation, the estimating circumstance is not precise as full factorial in theoretical. In the other hand, the full factorial test show the worse outcome more than Fractional Factorial Designs because it is difficult to control the factor and to effect in an error. So the researcher should test with Fractional Factorial Designs in case of many factors are. Moreover, the stat expert found there are some main effects and interaction that are important. The ordinal of interaction is increasingly but the significant is also decreasingly. For the reason, the researcher adjust to decrease the size of population in the test.
Table 3 The ratio of Main effects result per the number of Effects The number of
Main effects
The number of Interaction
The total of Effects
The percentage of Main effects
1 0 1 100.0
2 1 3 66.7
3 4 7 42.9
4 11 15 26.7
5 26 31 16.1
6 57 63 9.5
7 120 127 5.5
8 247 255 3.1
9 502 511 1.8
10 1013 1023 1.0
Source : http://www.geocities.ws/chalong_sri/Fract_DOE.htm(2563)
In this research studies, the researcher has managed the data in the State Preference questionnaire to be Fractional Factorial Designs Half factorial design (2𝑘−1) designs The simulation contained with 4 variables and the level of variables were high and low. So there were categorized for 8 simulations as follow;
Table 4 The simulating designs
Experiment No. Factor 1 Factor 2 Factor 3 Factor 4
1 -1 -1 -1 -1
2 +1 -1 -1 +1
3 -1 +1 -1 +1
4 +1 +1 -1 -1
5 -1 -1 +1 +1
6 +1 -1 +1 -1
7 -1 +1 +1 -1
8 +1 +1 +1 +1
Source : http://www.geocities.ws/chalong_sri/Fract_DOE.htm(2563) Table 5 Variables in simulation for 1 room with 29 Sq.m.
Variable Detail Level Simulation
Price Condominium and residence price (Bath) 4,350,000 2,900,000 2,400,000 1,900,000
SP 1
Duration for traveling
Duration for traveling from residence to office (Mins)
5 20 40 90
SP 1
Expense for traveling
Expense for traveling that including to travel from residence to office (Bath)
23 59 54 64
SP 1
Income Income or salary that receiving per monthly (Bath)
35,000 55,000
SP 1
Source : Designed by the researcher
Table 6 Variables in simulation for price 3,000,000 Bath per room (Apartment)
Variables Detail Level Simulation
Size Size and area of the residence (Sq.m.)
20 30 35 46
SP 2
Distance from shopping mall
Distance for traveling to shopping mall (KM.)
0.5 1.0 4.0 6.0
SP 2
Fitness center and Pool
Swimming pool, Fitness and sport center in the project (N/A)
1 0
SP 2
Bedroom The number of bedrooms (Room) 0 1 2
SP 2
Source : Designed by the researcher 3.4.6 Decision in the simulation
Figure 5 The component of the decision in simulations
Picture 5 showed the procedure of the simulating creation for the simulation 1 with condition for 1 bedroom and size of room space 29 sq.m,. and the simulation 2 with condition of condominium price for 3,000,000 bath per a room as steps;
1 . The simulation 1 with condition for 1 bedroom and size of room space 29 sq.m,. There were 8 simulations to choose for one which the choice also contained with the condominium where was located nearby and distant from rail transit stations. For each choice was contained with 4 factors to choose such as; price of condominium, duration for traveling, expense for traveling, and income. The factors had changed along to each simulation. The informants answered for all in simulations.
2. The simulation 2 with condition of condominium price for 3,000,000 bath per a room. There were 8 simulations to choose for one which the choice also contained with the condominium where was located nearby and distant from rail transit stations.
For each choice was contained with 4 factors to choose such as; size of room space,
distance for traveling to shopping mall, fitness center or swimming pool, and the number of bedrooms. The factors had changed along to each simulation. The informants answered for all in simulations.