By Anthony M. Wanjohi: Chi square is a non-parametric test commonly used to test either goodness of fit or association between two categorical variables (test of independence).  Categorical variables are grouped as nominal (names), ordinal (ordered) or dichotomous (binary). The purpose of this article is to illustrate chi square test for goodness of fit commonly used to…
Category: Statistics Articles
Chi-Square Test for Independence
By Anthony M. Wanjohi Chi-square is used either to analyze whether a frequency distribution for a categorical variable, say sex is consistent with expectations (a goodness of fit test), OR whether two categorical variables are significantly associated with each other (a test for independence). Chi square test for independence is used to test two categorical…
Sample Data Collection Daily Work Schedule
Data collection is an important phase in the research process. Effective data collection requires proper planning with well outlined work schedule. For a better understanding, the following Data Collection Daily Work Schedule is tabulated. Table 1: Data Collection Daily Work ScheduleData collection work schedule includes various activities which include but may not be limited to brainstorming…
Areas of Research Guidance and Support
The following are the key areas of research guidance and support that KENPRO offers:  Identification of Research Problem, Guidance and Support in Developing Research Background, Literature Review Guidance, Research Design and Methodology Guidance, Designing Data Collection Instruments and Data Coding and Analysis guidance and support. 1. Identification of Research Problem The identification of research problem is the…
How to Interprete Significant Difference
By Anthony M. Wanjohi: More often than not, students of research are confused between  “Significant Relationship and/or Significant Difference” when making conclusion upon testing an hypothesis. When do we conclude that there is a statistical significant relationship  between variables? and / or when do we conclude that there is a statistical significant difference between population…