Repeated Measures Design

The repeated measures design is a research method that consistentlyuses the same study subject with its every section (SequentialSampling Models in Cognitive Neuroscience: Advantages, Applications,and Extensions – Annual Review of Psychology, 67(1):641, 2016). Itentails noting down the rate of change of the recorded repeatedmeasurements. According to the study, domestic violence victims arethe constant study subject within the course of our research, thus acalling factor for the adoption of the repeated measures technique ofresearch to come up with findings.

Within the eight weeks of study, John could come up with a bunch ofquestions to ask the victims. The questions should reassure the studysubjects of their safety as well as raise their self-esteem. Examplesof questions asked are the whereabouts of their partners andintentions after the medication as well as their state of security.The researcher should identify what or who could be a threat to theirsafety and in turn provide viable aid such as education on theirrights as well as security provision.

Assessment of the victims is on various grounds such as the currentsafety needs of the individual, the pattern, and history of theirabuse, the connection between domestic violence and the individual`sself-esteem, their instant access to advocacy and support groups andfuture risks speculated by domestic violence. Through evaluation oftheir needs and the consequential provision of valid solutions suchas discovering the need for security and taking the responsibility toprovide it would stimulate a positive change (Haugan et al.,2013) along the continuous scale of measurement. That said, it isimportant to note that having solutions to our problems helps toraise our self-esteem.

Understanding the connections between abuse and self-esteem, theirimpacts on the individuals and the consequential provision ofphysical, psychological and spiritual support are some of themeasures that would bring about a continuous improvement in the rangeof scale. Besides, the effort to identify the victims’ access toadvocacy and other groups that offer support could be of great helpin filling reports or cases case against their partners. By so doing,this contributes to reducing the feeling of helplessness that in turnlowers self-esteem. Facilitating patients’ developmentinterpersonally raises their spiritual well-being (Haugan et al.,2013).

In the rear, the effort to establish future security complications ofthe victims such as anticipated health consequences of past abusecould also be a solution. By giving viable recommendations such asvisiting the hospital, one can induce a positive change in thevictims along the scale of measurement.

To sum up, the vitality of sampling is that it saves on time. It alsohelps to make inferences about the entire population based on thesample. However, it is important to evaluate the most suitable samplesize for the study. The larger the sample, the more accurate is theoutcomes of the test and vice versa. The importance of planning thesample size before data collection is that one can establish theparticipants needed through calculations. Besides, planning data sizehelps to save on time as well as save on resources. Planning samplesize helps one to acquire adequate financial assistance depending onthe sample size (Wolf et al., 2013).


Haugan, G., Rannestad, T., Hammervold, R., Garåsen, H., &ampEspnes,G. (2013). The relationships between self-transcendence andspiritual well-being in cognitively intact nursing home patients.International Journal Of Older People Nursing, 9(1),65-78.

Sequential Sampling Models in Cognitive Neuroscience: Advantages,Applications, and Extensions – Annual Review of Psychology,67(1):641. (2016). Retrieved 25 June2016, from v-psych-122414-033645

Wolf, E., Harrington, K., Clark, S., &amp Miller, M. (2013). SampleSize Requirements for Structural Equation Models: An Evaluation ofPower, Bias, and Solution Propriety. Educational AndPsychological Measurement, 73(6), 913-934.