STAT

Title:
Level of Difficulty Encountered by the San Pedro College BSN 4 Students in their Practicing Clinical Instructor (PCI) Experience

Statement of the Problem:
The main purpose of this study is to determine the difficulties encountered by the BSN fourth year students of San Pedro College in their Practicing Clinical Instructor Rotation in selected areas for the year 2006-2007. Specifically, it aims to answer the ff. questions:
1. What is the level of difficulty among the fourth year students in their PCI experiences?
2. Is there a significant relationship between the level of difficulty and the following factors:
a. Knowledge in terms of giving lecture.
b. Skills in performing nursing procedures
c. Workload in complying with requirements.

Null Hypothesis:
Ho: There is a significant relationship between the level of difficulty and the following factors:
a. Knowledge in terms of giving lecture.
b. Skills in performing nursing procedures.
c. Workload in complying with the requirements.

Statistical Treatment
The statistical measure that will be used is weight mean (x), which measures the central tendency of a set data.
Formula: x= wx where: w= weight/ frequency
w x= score
Correlation is a statistical tool to measure the association of two or more quantitative variables. It is concerned with the relationship in the changes and movements of two variables. Pearson r will also be used to determine the result of the set of data. This is the most widely used computational formula for correlation. the symbol of which is r. The size of the correlation varies from +1 through 0 to -1.
r= N∑xY-∑x∑Y
√[N∑x2-(∑x) 2][N∑Y2-(∑Y) 2]

Where:
x= the observed data for independent variable
y= the observed data for the dependent variable
N= sample size
R= degree of relationship between x and y

+1.00
+0.91- +0.99 very high positive (negative) correlation
+0.71- +0.90 high positive (negative) correlation
+0.50 -+0.70 moderately positive (negative) correlation
+0.31 -+ 0.50 low positive (negative) correlation
+0.01 - +0.30 negligible positive (negative) correlation
0.00 No correlation

The following were the major findings of the study:
1. Through the response of the BSN 4 students (respondents) on the questionnaire formulated by the researchers, the average weighted mean was computed to determine their level of difficulty. Pearson r was used to determine the relationship of the level of difficulty experienced by the BSN 4 students (respondents) with the identified factors. The following factors namely knowledge in terms of giving lectures and workload in complying with the requirements are considered to highly affect the level of difficulty of the respondents. On the other hand, skills do not contribute to the level of difficulty experienced by the BSN 4 students (respondents).







Title:
Factors Affecting the Interest towards Reading among BSN 3 students of San Pedro College

Statement of the problem:
This study intends to determine the factors that affect the interest towards reading among San Pedro College BSN 3rd year students
More specifically, this study aims to answer the following questions.
1. Is there a significant relationship between the interst towards reading and the following factors:
a. Parental influence
b. Availability of reading materials
c. Workload
d. Incentives
2. Which of the factors greatly affect the interest of students towards reading?

Hypothesis
1. There is no significant relationship between the interest towards reading and the following factors:
a. Parental influence
b. Availability of reading materials
c. Workload
d. Incentives

2. Problem 2 is hypothesis-free.

Statistical Treatment
In order for us to use the data that we collected and gain insight to the problem, the following statistical treatments are to be used.
Mean
The arithmetic mean (or, simply mean) is computed by summing of the observation in the sample and dividing the sum by the number of observation.


Symbolically, the mean is represented by:
_
x= ∑x1
n
Where
x= an individual value of x
∑= the sum of
x1= an individual value of x
n= number of cases

Standard Deviation
By far the most widely used measure of variation, represented by the symbol s. It is the square root of the variance of observation. The variance or s2 is computed by squaring each deviation from the mean, adding them up and dividing their sum by one less than n, the sample size.

s2= ∑(x1-x) 2
n-1

Where:
s2= represents the variance
∑= the sum of
x1= an individual value of x