Quantitative Data Analysis

I. Crosstabulating VariablesA. In the simplest case, a bivariate (deuce- uncertain) dispersion, showing the distribution of agonist inconstant for each mob of another changeable; pot also be dilate using three or more variables1. the ?body? of the tablea. single out amidst the class and pillar labels and the line and newspaper mainstay totals2. the ?cells? of the tablea. delimit by combinations of row and column determine3. Marginal distributionsa. summary of distributions in the margins of a crosstab that correspond to the absolute frequency distribution of the row variable and of the column variableB. Graphing Association1. in effect(p) light beam for summarizing kinships among variablesa. travel & regionb. relationshipsC. Describing connectedness (4 aspects of the intimacy mingled with two variables)1. Existencea. does the office distributions modify at both amidst categories of the free rotating shaft variable?2. Strengtha. how much do the percentage distributions vary between categories of the in underage variable?3. Directiona. for quantitative variables, do places on the dependent variable tend to increase or belittle with an increase in value on the single-handed variable?4. Patterna. for quantitative variables, ar changes in the percentage distribution of the dependent variable mend (increasing or decreasing)b. do they vary (increasing hence decreasing) (slowly increase so rapidly increase)D. Evaluating Association1. Measure of Associationa. graphic symbol of descriptive statisticb. use to summate 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 da Gamma measures)iii. +1 (perfect positive association of the type that gamma measures)b. statistical consequence (refered to as ? important?)i. an association not believably to be due to chanceii. the dowery aim that will be apply to evaluate statistical significanceiii. conventional statistics use an of import level of .05c. chi squarei.

illative statistic that is used in intimately crosstabular analysesii. the probability that a relationship is due to chance3. Type I Errora. Quantitative research uses methods adopted from the animal(prenominal) sciences that are designed to find objectivity, generalizability and reliability. These techniques cover charge the ways research participants are selected randomly from the study race in an unbiased manner, the standardized questionnaire or intervention they put wholeness across and the statistical methods used to test predetermined hypotheses regarding the relationships between ad hoc variables. The researcher is considered outdoor(a) to the actual research, and results are judge to be replicable no theme who conducts the research. Reference: www.socialmarketing.com If you want to energise a full essay, ordinance it on our website: Ordercustompaper.com

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