Building bridges to informed socio economic policy making in Africa.
Applied Research Training and Mentoring Unit
The LoRDA Research Center conducts independent, non-partisan analyses and research on all areas.
The unit conducts trainings on scientific research writing, automatic referencing, data collection methods, data analyses for sound policy research. The trainings are geared towards removing barriers to opportunities; building a cohort of local researchers and empowering individuals to be independent and to live a life of choice. In this unit, we also provide adaptive I.T. training for students with visual impairment to enable them pursue their academic goals and conduct their research independently.
Given that we are a non-profit making organization, the trainings are organized free of charge. Our support comes from free will donations from individuals and partner organizations.
Data Management & Analysis Training: SPSS & STATA
One of our key goals is to increase Employability among students and young Cameroonians by building their capacity in Data Management and Analysis.
March 2024 Session
March 2024 Session
Practical Activities/Modules | Key highlights |
SPSS | |
Installation of SPSS & STATA software in your PC at LoRDA Research Center |
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Introduction to SPSS interface & Primary data entry & treatment of missing variables Data handling in SPSS (+, -, ÷, ×, log etc) | Entry parameters, Scale measurements |
UNIVARIATE ANALYSES | |
Summarizing qualitative and quantitative variables |
Meaning to results |
Frequency tables | |
Charts: pie charts Bar charts, clustered and stacked charts | |
Mean, Standard Deviation, Min and max Values, range etc. | |
Grouping and splitting data for analysis | |
Transforming continuous to categorical variables | Computing a new Variable Recoding into different/same Variable |
Inferential analyses of association (Chi square test of independence (or Association); Pearson and Spearman) Pairwise correlation matrix T-test | Data requirements Hypothesis Decision and conclusions |
Regression analyses (OLS, logit, multinomial logit, ordinal logit models) | Theory supporting the use of each; Data requirements; Hypothesis; Results; Decision and conclusions |
Working session with the Research Fellows |
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Assignments on multi-variate analyses to be done between 1st – 4th April | |
STATA | |
Time series analyses (in STATA) | Key highlights |
What is time series data? |
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Generating: dummies, log |
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Trend analyses |
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Pairwise correlation | With significance level |
Stationarity test of time series data | Decision criteria |
Test for long run relationship | Decision criteria |
Summary statistics (Mean, Std Dev., Min & Max) |
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Running Key time series models (OLS, ARDL…) | Requirements to use model; Hypotheses Results; Decision and conclusions |
Running Key time series models (VAR, VECM models) |
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Working session with the Research Fellows |
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Panel data analyses (in STATA) |
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Structure of panel data |
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Defining panel ID |
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Sorting data as panel |
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Summarizing panel data |
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Graphs |
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Panel regression models |
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Working session with the Research Fellows |
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Assignments on Panel data analyses to be done between 27th – 30th April | |