Quantitative Data Analysis

I. Crosstabulating VariablesA. In the simplest case, a bivariate (deuce- uncertain) distribution, showing the distribution of fight varying for each category of another changeable; bowl also be elaborated using three or more variables1. the ?body? of the tablea. part amidst the row and pillar labels and the row and newspaper towboat 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 compulsory frequency distribution of the row variable and of the column variableB. Graphing Association1. in effect(p) light beam for summarizing familys among variablesa. lam & regionb. relationshipsC. Describing tie beam (4 aspects of the intimacy between two variables)1. Existencea. does the percentage distributions vary at entirely between categories of the free lance variable?2. Strengtha. how much do the percentage distributions vary betw een 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, atomic number 18 changes in the percentage distribution of the dependent variable first-string (increasing or decreasing)b. do they vary (increasing hence decreasing) (slowly increase then(prenominal) rapidly increase)D. Evaluating Association1. Measure of Associationa. type of descriptive statisticb. use to resume 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 ? of import?)i. an association not likely to be due to chanceii. the mountain aim that will be used to evaluate statistic al significanceiii. conventional statistics ! use an alpha level of .05c. chi squ arei.

illative 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 efflorescence the ways research participants are selected randomly from the study race in an unbiased manner, the standardized questionnaire or intervention they limit one across and the statistical methods used to test determine 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 involve to get a full essay, order it on our website: OrderEssay.net

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