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89 and one that does not (the control group). It therefore follows that every experimental design must have at least two groups, meaning that at times this design may have more than two groups such as in the Solomon Four-Group Design (Delvaux, 2004; Rossi, Lipsey & Freeman, 2004). The most important factor in this design that is actually a distinguishing factor from the other designs, is that participants are randomly assigned to either group (intervention or control), giving all of them an equal chance to belong to either group and to make sure that both groups are equally represented by the various characteristics in the sample such as gender, age, culture, context, and background (Morra- Imas & Rist, 2009; Rubin & Babbie, 2013). This is done to control for any variables that could have the potential of contributing to the outcome results. In the end, this helps to have groups that are similar in terms of demographic factors as well as social economic status. Intervention Group Also known as the experimental or treatment group, is the group that is exposed to the intervention, or the group that receives some level of the independent variable (Lahey, 2012). In evaluative projects or programmes, it becomes the beneficiary group which benefits from the resources allocated to the project or programme. The characteristics of the participants in this group must be similar to those in the control group to rule out any possible bias likely to interfere with the outcome (Leedy & Ormrod, 2012). Control Group This is a group that is exposed to the neutral conditions or in other words does not receive the intervention; the participants in this group are not exposed to the intervention. It is the group to which the intervention group is compared (Coolican, 2014). It can also be described as the group from which the intervention is with-held. Often times, this is justified as having not enough resources to give to the whole population. Also, the effect of the intervention is not known and the only way to prove it works is by giving it to a fraction of the sample known as the experimental or intervention/treatment group (Harris, 2010; Kothari & Garg, 2014). Randomisation The experimental design involves randomly assigning the participants to either the intervention or control group in order to rule out bias in group allocation. This helps to curb out bias in factors such as participants’ ages, gender, educational attainments, socio-economic statuses, and many more that could potentially influence the intervention outcome (Leedy & Ormrod, 2013). In an evaluation, one will have to