Quantitative Data Analysis

I. Crosstabulating VariablesA. In the simplest case, a bivariate (deuce- uncertain) distribution, showing the distribution of hoagy multivariate quantity for each category of another variable; trough also be elaborated using three or more variables1. the ?body? of the tablea. part amidst the rowing and pillar labels and the row and newspaper column totals2. the ?cells? of the tablea. defined by combinations of row and column values3. Marginal distributionsa. summary of distributions in the margins of a crosstab that correspond to the arrogant frequency distribution of the row variable and of the column variableB. Graphing Association1. economic light beam for summarizing kinds among variablesa. lam & regionb. relationshipsC. Describing companionship (4 aspects of the connexion between two variables)1. Existencea. does the percentage distributions vary at every last(predicate) between categories of the free lance variable?2. Strengtha. how much do the percent age distributions vary between categories of the in underage variable?3. Directiona. for quantitative variables, do values on the dependent variable tend to increase or belittle with an increase in value on the independent variable?4. Patterna. for quantitative variables, argon changes in the percentage distribution of the dependent variable perpetual (increasing or decreasing)b. do they vary (increasing hence decreasing) (slowly increase therefore rapidly increase)D. Evaluating Association1. Measure of Associationa. type of descriptive statisticb. use to restart the strength of an association2. Many Levels of Associationa. Gammai. value varies from -1 (perfectly associated in an inverse direction)ii. 0 (no association of the type that gamma measures)iii. +1 (perfect positive association of the type that gamma measures)b. statistical consequence (refered to as ? important?)i. an association not likely to be due to chanceii. the mountain aim that will be used to evaluate sta tistical significanceiii. conventional stati! stics use an alpha level of .05c. chi squargoni. inferential statistic that is used in most crosstabular analysesii. the probability that a relationship is due to chance3. Type I Errora. Quantitative research uses methods pick out from the physical sciences that are designed to ensure objectivity, generalizability and reliability. These techniques cover depend upon the ways research participants are selected randomly from the study race in an unbiased manner, the standardized questionnaire or intervention they instal one across and the statistical methods used to test predetermined hypotheses regarding the relationships between ad hoc variables. The researcher is considered external to the actual research, and results are expected to be replicable no matter who conducts the research. Reference: www.socialmarketing.com If you indispensableness to get a full essay, order it on our w ebsite: OrderEssay.net

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