Disability Landscape Analysis Research Assistant at SoCha

Position Responsibilities:

The Research Assistant (s) will be responsible for implementing the following tasks:

Qualitative Data Management and Analysis

• Note-taking and Transcription: Transcribe audio recordings of Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs) using appropriate software and tools. Take notes during interviews to capture important information and context.
• Deconstruction: Analyze the transcribed data by breaking down the data into meaningful units of text, such as sentences or paragraphs.
• Interpretation: Identify key themes and patterns in the deconstructed data using NVivo version 12 and flow chart matrices.
• Reconstruction: Reconstruct the data by grouping and categorizing themes and patterns to identify common threads and insights.
• Emerging patterns and themes: Establish emerging patterns and themes by applying a predetermined structure based on research questions to guide the analysis process.

Quantitative Data Management and Analysis

• Data cleaning: Clean and prepare the quantitative survey data sets in MS Excel format, including checking for outliers, missing data imputation, and variable transformation.
• Descriptive analyses: Carry out descriptive statistics, with frequencies, percentages, means, medians, and standard deviations computed in the analysis.
• Exploratory analyses: Compute indicators, cross-tabulations by county and gender, and correlations to facilitate deeper insights into the program indicators.
• Labeling: Label various variables in the quantitative data sets to ensure accuracy and consistency in the analysis process.

Qualifications and Experience:

• Background in a relevant field, such as statistics, data science, social sciences, or another relevant discipline.
• A Bachelor's or Master's degree is preferred, but relevant work experience can also be considered.
• Previous demonstrated experience working with research data (qualitative and quantitative) and different data management and analysis methods is required.
• Knowledge of NVivo, MS Excel, and SPSS is required.
• Strong attention to detail.
• Excellent time management skills.
• Excellent communication skills and able to explain data management and analysis processes to other members of the research team in a clear and concise manner.

Deadline: 23rd of June 2023