Q2: Data Analysis & Research Methodology Flashcards
A process in which gathered information are summarized in such a manner that it will yield answers to the research questions.
Data Analysis
It makes explicit the different statistical methods and formulas needed to analyze the research data.
Statistical Treatment
It provides a summary of the ordered or sequenced
data from your research sample.
Descriptive Statistical Technique
It is used when the research study focuses on finding predictions; testing hypothesis; and finding interpretations, generalizations, and conclusions.
Inferential Statistics
Examples of these tools are frequency distribution, measure of central tendencies (mean, median, mode), and standard deviation.
Descriptive Statistical Technique
It means analysis of one variable.
univariate analysis
Analysis of two variables such as independent and dependent variables
bivariate analysis
It involves analysis of the multiple relations between multiple variables.
multivariate analysis
Determine whether Parametric Test or Non- Parametric test
Interval or Ratio
Parametric Tests
Determine whether Parametric Test or Non- Parametric test
Fewer than 30
Non-parametric Tests
Determine whether Parametric Test or Non- Parametric test
Normal Distribution
Parametric Tests
Determine whether Parametric Test or Non- Parametric test
30 or more per group
Parametric Tests
Determine whether Parametric Test or Non- Parametric test
Data deviates from Normal
Distribution
Non-parametric Tests
Determine whether Parametric Test or Non- Parametric test
Ordinal or Nominal Scale
Non-parametric Tests
Enumerate: Statistical techniques in quantitative research
Test of Relationship between Two Variables
- Pearson’s r (parametric)
- Phi coefficient (non-parametric for nominal and dichotomous variables)
- Spearman’s rho (non-parametric for ordinal variable)
Enumerate: Statistical techniques in quantitative research
Test More than Two Population Means
Analysis of Variance or ANOVA (parametric)
Enumerate: Statistical techniques in quantitative research
Test of Difference between Two Data Sets from Two Different Groups
T-test for independent samples (parametric)
Two-way chi-square (non-parametric for nominal variable)
Mann-Whitney U test (non-parametric for ordinal variable)
Enumerate: Statistical techniques in quantitative research
Test the Strength of Relation or Effect or Impact
Regression (parametric)
Enumerate: Statistical techniques in quantitative research
Test of Difference between Two Data Sets from One Group
T-test for dependent samples (parametric)
McNemar change test (non-parametric for nominal and dichotomous variables)
Wilcoxon signed-rank test (non-parametric for ordinal variable)
Parts of a Research Methodology
- Research Design
- Research Population and Sample
- Sampling Procedure
- Research Instruments
- Validity and Reliability of Instruments
- Research Intervention (if applicable) Data
- Collection Procedure
- Data Analysis
