Data analysis and interpretation of communication practices: Insights from employee perceptions

4.1 Introduction

In this chapter, responses will be classified according to demographic variables such as gender, age, marital status, educational qualification, length of service in the organization, present working department, and other relevant variables addressed in the questionnaire (Creswell, 2014; Sekaran & Bougie, 2016). One hundred and fifteen (115) questionnaires were distributed to respondents across various departments of the case study organization (UBA Plc). Of these, seventy-five (75) were duly completed and returned, with a response rate of approximately 65%. This high response rate suggests a significant level of interest in the topic among the respondents. Consequently, the data collected will be analyzed, as the response rate is considered adequate for the purposes of this research. Additionally, responses to the research questions will be systematically categorized and analyzed.

4.2 Presentation, Classification and Analysis of Data

As shown in Table 4.1, 31 respondents (41.3%) were male, while 44 respondents (58.7%) were female. This indicates that the sample included more female than male participants. Regarding age distribution, 24 respondents (32.0%) fall within the age range of 21–30 years, 36 respondents (48.0%) are between 31–40 years, 14 respondents (18.7%) are within the 41–50 years range, and 1 respondent (1.3%) is aged 51 years and This indicates most respondents are within the active working-age demographic.