Methodology in research

Methodology in research

CHAPTER THREE

Methodology

Introduction

This chapter details the methods and approaches utilized in conducting the study. It outlines the research design, study area, population, sampling techniques, data collection procedures, instruments, validity and reliability of the instruments, data collection process, and ethical considerations.

Research Design

According to Ojo & Adu (2018), a research design is a structured plan used by researchers to conduct a study aimed at answering specific research questions. This study adopted a cross-sectional survey design, which is appropriate for collecting data at a single point in time (Creswell, 2012). The research used a mixed-methods approach, integrating both quantitative and qualitative methods to gather comprehensive data. Amin (2005) emphasized the importance of using both methods simultaneously, particularly when studying opinions. Although this study was primarily quantitative, qualitative data was used for triangulation to provide a more complete understanding of the research problem by comparing and contrasting findings from both approaches.

Study Population

Sandra et al. (2016) define a population as the specific group from which a researcher intends to collect relevant data. The study population comprised all teachers and headteachers from seven government-aided secondary schools in Nakasongola District, which have established ICT infrastructure. Specifically, the population included 205 classroom teachers and seven headteachers (School Records, 2023). Headteachers were selected due to their administrative roles, including managing ICT resources, while classroom teachers were targeted as they are central to teaching and learning processes.

Sample Size

A sample size represents the number of individuals included in a study to reflect the overall population. The sample size for this study was determined using Krejcie and Morgan’s (1970) table, which guided the selection of 7 headteachers and 160 classroom teachers from the total population.

Sampling Techniques

Kalton (2011) defines sampling as a systematic approach to selecting a smaller, representative subset from a defined population. This study employed Census Inquiry and Simple Random Sampling techniques. Census Inquiry, which involves studying all units in a population, was used to select headteachers (Creswell, 2007), ensuring accuracy and detailed information collection (Gakure et al., 2013). Simple random sampling, a widely used method (Kalton, 2011), was applied to select classroom teachers, ensuring each teacher had an equal chance of being selected and reducing potential bias. The Lottery Method was used to achieve randomness, assigning unique tickets to all teachers and drawing the required sample size without replacement.

Data Collection Methods and Instruments

Primary data was collected through observation, surveys, and interviews.

• Surveys: A Self-Administered Questionnaire (SAQ) was distributed to classroom teachers, designed to collect data aligned with the study’s objectives. The questionnaire, which included both open- and closed-ended questions, was structured using a five-point Likert scale ranging from Strongly Agree to Strongly Disagree. This allowed for collecting specific responses related to teachers’ demographic information, ICT use, and instructional management effectiveness.
• Interview Guide: A structured and semi-structured interview guide was used with headteachers to gather in-depth insights into their experiences with ICT in instructional management. This method allowed for probing into respondents’ answers, ensuring comprehensive data collection (Cohen, Manion, & Morrison, 2002).
• Observation Checklist: An observation checklist (Appendix III) provided a framework for systematically capturing data on the availability and accessibility of ICT infrastructure in schools. Direct observations complemented the questionnaire findings by offering first-hand information about ICT use in instructional management (Amin, 2005; Driscoll, 2011).

Data Collection Procedure

The researcher obtained an introductory letter from the Directorate of Research and Graduate Training at the Islamic University in Uganda, seeking permission to conduct the study. After obtaining consent from the headteachers, the researcher distributed questionnaires and conducted interviews while ensuring the confidentiality of respondents.

Data Quality Control

Validity

According to Amin (2005), validity refers to the accuracy of research instruments in collecting relevant data. Three research experts reviewed the instruments to ensure content validity. The content validity index (CVI) was calculated using the formula CVI = (n/N) × 100%, where “n” is the number of relevant items, and “N” is the total number of items. The CVI was determined to be 88.9%, indicating that the instruments were valid, as scores above 70% are considered acceptable.

Reliability

Reliability refers to the consistency of the research instruments (Buchanan, 1981). A pilot study was conducted to test the clarity and reliability of the instruments, and Cronbach’s Alpha was used to measure internal consistency. The resulting value of 90.7% indicated a high level of reliability.

Data Management and Analysis

Data analysis involved organizing, coding, and processing the collected data using the Statistical Package for Social Sciences (SPSS). Quantitative data was analyzed through descriptive statistics and cross-tabulations, while Pearson correlation was used to explore relationships between variables. Qualitative data from interviews was transcribed, coded, and analyzed to identify patterns and themes aligned with the study’s objectives.

Measurement of Variables

Teachers’ effectiveness in instructional management was measured using the ICT Support Systems and Teachers’ Effectiveness in Instructional Management Questionnaire, with items coded in SPSS. A nominal scale was used for demographic variables, and an ordinal scale was applied to Likert scale items, such as teachers’ ICT skills and perceived usefulness of ICT.

Ethical Considerations

The researcher adhered to ethical principles throughout the study, starting with obtaining authorization from the Directorate of Research and Graduate Training at the Islamic University in Uganda (IUIU).