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Statistical Data Analysis Procedure

The document describes the statistical data analysis procedures used for a study. Descriptive analysis was used to provide simple summaries of the sample data through quantitative and visual methods like graphs. A 5-point scale was used to score responses ranging from strongly disagree to strongly agree. Additional statistical methods like factor analysis and reliability statistics were employed. Factor analysis was used to analyze relationships among variables and explain them in terms of common underlying factors, reducing the number of variables. Reliability statistics including Cronbach's alpha were calculated to measure consistency of scoring and determine if responses were reliably scored.

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156 views2 pages

Statistical Data Analysis Procedure

The document describes the statistical data analysis procedures used for a study. Descriptive analysis was used to provide simple summaries of the sample data through quantitative and visual methods like graphs. A 5-point scale was used to score responses ranging from strongly disagree to strongly agree. Additional statistical methods like factor analysis and reliability statistics were employed. Factor analysis was used to analyze relationships among variables and explain them in terms of common underlying factors, reducing the number of variables. Reliability statistics including Cronbach's alpha were calculated to measure consistency of scoring and determine if responses were reliably scored.

Uploaded by

kwyncle
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Statistical Data Analysis Procedure

Data analysis for this study was done by means of descriptive analysis.

According to Ashirwadam, J. (2014), descriptive data analysis provides simple

summaries of the sample and also about the observation made on them, such

observation are usually quantitative or visual such as graphs and lab

observations. It presents the data in such a meaningful way that pattern in the

data starts making sense.

Scoring Procedure

The range and interpretation of the five point scale are shown in the

table.

Scale Range Interpretation


5 4.6 – 5.0 Strongly Agree
4 3.7 – 4.5 Agree
3 2.8 – 3.6 Neutral
2 1.9 – 2.7 Disagree
1 1.0 – 1.8 Strongly Disagree
Table 1 Scoring Procedure

There are range of statistical methods used to analyze and represent the data
retrieved from the questionnaire aside from the descriptive analysis. The
following are the additional methods used by the researchers to further
elaborate complex informations from the surveys.

1.1 Factor Analysis

Factor analysis is a statistical approach that can be used to analyze


interrelationships among a large number of variables and to explain these
variables in terms of their common underlying factors. The objective is to find a
way of condensing the information contained in a number of original variables
into a smaller set of factors with a minimum loss of information. IBM
Corporation 2011 define factor analysis as a statistical technique whose main
goal is data reduction. A typical use of factor analysis is in survey research,
where researcher wishes to represent a number of questions with a small
number of hypothetical factors. The researchers believe that by the use of this
technique, the vast number of variables in the study will be comprehensibly
explained without the use of complex informations.

1.2. Reliability Statistics

The two most important aspects of precision are reliability and validity.
Reliability is done to measure consistency of scoring in a section. Reliability is
computed by taking several measurements on the same subjects. A reliability
coefficient of 0.70 or higher is considered as “acceptable” (Gupta and Gupta
2011:66).

The reliability statistics were used in the study to provide a Cronbach’s alpha
score on each item per section of the questionnaire.

The score is used to determine whether there is a degree of consistent scoring


by the respondents (Gupta and Gupta 2011:66).

This entails that the study would be carried out in a manner which ensures
internal consistency and efficient reliability which is free of error, as well as to
ensure stability and consistency throughout the study (Sekaran and Bougie
2013:228).

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