Psychological Research Design & Analysis : Report

Added on - 06 Jun 2020

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Psychological Research Design & Analysis 1
Table of ContentsINTRODUCTION...............................................................................................................................................................................................................................................1MAIN BODY......................................................................................................................................................................................................................................................1CONCLUSION...................................................................................................................................................................................................................................................7REFERENCES....................................................................................................................................................................................................................................................8
INTRODUCTIONSpecifically there are mainly two types of research designs that can be used for testing the psychological aspects such as descriptive and experimental. In the fieldof research, selection of suitable research type is one of the prior requirements for conducting study in the best possible way. In this, experimental research design hasbeen se4lected by the researcher to analyze the impact on individuals working memory.MAIN BODYData analysis and findingsData analysis is the process which in turn provides high level of assistance to the researcher in deriving suitable information from the gathered information. Thereare several statistical tools that can be employed by the scholar to analyze data set and present the fair solution of issues. Major statistical tools that are associated withquantitative investigation include T, Z, chi-square, ANOVA, regression and correlation (Cronk, 2016). In this, regression analysis has been conducted by the researcherwith the motive to assess the impact of age factor on the level of working memory. The rationale behind the adoption of such tool is that it helps in assessing the level towhich one factor is dependent on another.Descriptive StatisticsNRangeMinimumMaximumMeanStd. DeviationVarianceSkewnessKurtosisStatisticStatisticStatisticStatisticStatisticStd. ErrorStatisticStatisticStatisticStd. ErrorStatisticStd. ErrorAge11752187030.711.20613.042170.087.832.224-.416.444Gender1171121.50.046.502.252.017.224-2.035.444twosyllablewords11773105.63.1251.3561.838.316.224.130.444fivesyllablewords1177294.91.1331.4422.079.187.224-.278.444Valid N (listwise)117Analysis: The above depicted table of descriptive statistics shows that average number of respondents, out of 117, of 30 to 31 years old. It shows that majority ofthe responses provided or data gathered through conducting survey on young people. Mean value in the case of gender is 1.5 respectively which shows that most of thecandidates were male. In addition to this, mean value of two and five syllable words accounts for 5.63 and 4.91 significantly. Further, standard deviation in the \case ofsyllable words is 1.36 & 1.44 respectively.
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