### Respondents of the Study

The proponent selected the high school students of Villamor High School to be the respondents of the study, preferably the freshmen and sophomore students. The proponent had came up with 119 students as respondents having 50 representatives from the first year level, 61 from the second year level and 8 representatives from the game enthusiasts/software programmers.

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The proponent also chose some software programmers and game enthusiasts as the respondents of the study.

Table 1.0 Distribution of population

Strata

Population

Percentage

Sample Size

Villa Nerliza Staff

7

7%

6.78

Internet Users

72

72%

70.70

Clients

21

21%

20.34

Total

100

100%

97

### Sampling Technique

Stratified Random Sampling was utilized in the study. The technique generally divided total population into two or more strata. For each stratum, the sample items were drawn at random. The population had been divided into subgroups (group/strata).

The subgroups of where we obtained a representative sample of the population was calculated in percentage in the total population with the used of the stratified sampling technique.

### The Research paper on Study Skills and Student Performance

Study skills and academic performance among second-year medical students in problem-based learning Med Educ Online [serial online] 2006;11:23 Available from http://www. med-ed-online. org Study Skills and Academic Performance among Second-Year Medical Students in Problem-Based Learning Deborah A. Sleight, PhD and Brian E. Mavis, PhD Office of Medical Education Research and Development College of ...

The formula in calculating the sample size is as follow:

Ss= NV + [ Se2 ( 1-p ) ]

NSe + [ V2 x p( 1-p )]

where :

Ss-Sample size

N-Total number of population

V -The standard value (2.58) of 1 percent level of probability with 0.99 reliability

Se-Sampling error (0.01)

p-The largest possible proportion (0.50)

Computation :

N = 142Se = 0.01V = 2.58p = 0.50

Ss= 142* 2.58 + [ 0.012 ( 1 – 0.50 ) ] .

142 * 0.01 + [2.582 x 0.50( 1 – 0.50 ) ]

=366.36 + [ 0.0001 ( 0.5 )].

1.42 + ( 6.6564 x 0.25 )

=366.36 + 0.00005

1.42 + 1.6641

=366.36005

3.0841

Ss=118.79 or 119

The percentage of each stratum was also derived to distribute equally the sampling size among the population with regards to each stratum.

The formula for the percentage is :

Share=( n / N ) * 100

where :

Share-Percentage for each stratum

N-Total population

n-Sample units to be drawn

Computation :

For 1st Year Level Students

Share=( 60/142) *100

=0.42 * 100

Share=42 %

For 2nd Year Level Students

Share=( 72/142) * 100

=0.51 * 100

Share=51%

For Game enthusiasts/Software Programmers

Share=( 10/142) * 100

=0.07 * 100

=7%

The formula in getting the sample size of each stratum :

Sp=Ss * Share

where :

Sp -Sample size of each stratum

Ss-Total sample size

Share-Percentage of each stratum

Computation :

For 1st Year Level Students

Sp=119 * 42 %

Sp=50

For 2nd Year Level Students

Sp=119 * 51%

Sp=61

For Game enthusiasts/Software Programmers

Sp=119 * 7%

Sp=8