# Using Descriptive Statistics And Pearson 's Correlation Coefficient

998 Words 4 Pages
This article used the appropriate statistical procedures for the study. Using descriptive statistics and Pearson’s correlation allows the researcher to reveal if any correlation coefficients among variables are found. Also, using the path analysis to find the relationships among the variables was a key factor. The sample was significant for the study and the path analysis model because it required a large number of cases and this study had 2,565 participants. The responses from the survey allowed the researcher to use factor analysis to find the types of subscales. It was useful since it allowed finding the most common responses from the participants. Factor analysis creates clusters based on both categorical and continuous variables (Green & Salkind, 2014).
To answer the third hypotheses a multilevel modeling was used to avoid any independence of residuals assumptions. This statistical procedure was use since the data can be organized in more than one level. This analysis provided an additional tool to evaluate the data. In addition, the multilevel modeling was used to control for school random effect and for the diverse organizational characteristics. Because of the two types of job satisfaction results a multilevel modeling procedure was conducted. Various components were differently associated the two types of satisfaction.
This study utilized the appropriate statistical procedures to find the hypotheses. The data indicated that job satisfaction for teachers come

• ## The Chi Square Test Analysis

Researcher has applied it to understand the association and relationship between the respective variables. The Chi Square Test is thought to be appropriate to test the hypothesis as the data was in discrete categorical form. The Chi-square test is an important test amongst the several tests of the significance developed by statistician. It is basically used when the sample size is large. Chi square test is used when sample size is large.…

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When researcher wants to analysis the collected quantitative data, the statistic is the best want to illustrate different result. Statistic is using number to describe population sample and statistical analysis is the most common mathematical skill to evaluate and make date easier to understand. The analysis of quantitative statistical is identifying the data pattern and the relationship of how data occur (Moody, 2002). When researcher working with data need to look at different point of view by looking at the pattern. Designer can use different boxes to look clearly at all the finding information by putting into charts, tables or graphs (Powell, 1996).…

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• ## Difference Between Inductive And Quantitative Research Methods

Concepts are typically what researchers are measuring and to make means of measuring a concept there are difference methods that are used. Quantitative research must measure concepts because it allows the researchers to define particular differences among people in terms of a quality in a question (Bryman, 164). Measurement also provides consistency in making such distinctions in concepts as well as creating a basis for measuring degree of relationship, among other concepts to gain a more accurate insight via correlation (Bryman, 164). Data analysis for quantitative research is via statistical analysis, there must be large quantities of samples for the math to work on in this realm of research. Without a significant amount of samples and data the number can be…

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• ## Benefits Of Quantitative Research

Quantitative research is the approach used in the context of investigating in order to expound on specific happenings by making the necessary provisions to accumulate a collection of numerical data that can be evaluated by being managed through statistically based methods (Creswell, 2007). The quantitative approach is best suited for this particular study due to the characteristic of the organized methodical examination of data and their particular connections. To further justify the use of this design and method, the quantitative research strategy is an exceptional way of concluding results in addition to substantiating or refuting a hypothesis. The explicit benefits allow for the prospect to enumerate data and generalize results from a sample to the population of relevance. In addition to these solid areas of substantial support, quantitative inquiry creates the platform to measure the…

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• ## ' Propuality, And Cross-Tabulation Of Words

This allows for varying opinions that do not erase moderate opinions. The mode can easily be defined by frequency distributions while opposite, though nearly as frequent, opinions can also be accounted for. 3. Cross-tabulations can be used when researchers are looking at multiple variables that in total make up the overall sample. This allows researchers to compare each subgroup and better target those groups of people within those that are surveyed.…

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• ## Self Administered Survey Essay

Whether for research or information gathering, these surveys use self-reported data to learn about a respondents experience, feelings, or perceptions of reality. Administered via paper, telephone, or computer, these surveys are widely used and accessible to participants. Depending upon sample size and research objective, researchers can use a single method (for example paper-based) or mixed mode method (for instance telephone and computer-based surveys) in the data collection stage. However, no matter which survey method is used, due consideration is essential in the development and implementation of self-administered surveys. Likewise, survey design, delivery method, question design, and costs are few of the basic factors to consider when designing this sampling…

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• ## Importance Of Quantitative Methods

We go back again to statistics as they form the basic building block of creating a sense out of data, on the other hand, data analysis is “concerned with sensitizing social researchers to the use, interpretation and evaluation of relevant data” (Rose and Sullivan 1998, p.4). In other words, statistics can be thought of as the output of plenty of data, however, data analysis is how one can select a pattern of data and try to analyze it to infer a finding, be it wrong or right, with regards to a case of relevance to him/her. The researcher will look for irregularities in the data, which are also known as variations. As mentioned in the description of the cross sectional method, variables can be represented in many forms such as race, age and height. To set a simple example, two identical twins could have different heights, hence, their features vary despite initially looking similar, and therefore, each of their heights becomes a variable.…

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• ## 5 Steps Of Qualitative Data

Coding the data helps researchers sort important data and discard data that does not provide the needed thematic evidence (Creswell, 2015, p. 242). Many times qualitative researcher will represent their findings visually and report their findings in a narrative discussion and interpret their finding through personal reflection (Creswell, 2015, p.252-257). Literature comparisons are also included in the interpretation and researchers take measures to validate the research in similar ways as quantitative…

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• ## Distinction Between Qualitative And Quantitative

When determining the relationships between variables, quantitative researchers must control for as many extraneous or unaccounted variables as possible, and thus their research is most commonly conducted in a laboratory environment. Using a quantitative approach, Ferguson, Bender, & Thompson (2014) identified predictors of transience in young homeless individuals. Quantitative measures of arrest history, duration of homelessness, education background, and more were collected and analyzed. Quantitative researchers tend to take complex behaviors, or psychological states, and simplify them into behaviors that are easy to measure; this approach is called reductionism. While the experimental findings of this approach are usually replicable, they sometimes lack information integral to their practical application.…

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• ## Woodcock Johnson Tests Of Achievement Analysis

In addition, the CHC theory and research were the “basis for the overarching test battery design blueprint” (LaForte, McGrew, & Schrank, 2014 pg. 14). The difference between broad and narrow ability used in the CHC theory is important because the WJ IV test was created to measure a person’s narrow ability. The cluster interpretation was used to improve content validity when measuring broad abilities such as general intelligence, reading, and fluid reasoning (LaForte, McGrew, & Schrank,…

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