Ftm 460 Exam3 Study Guide

FTM 460 Exam 3 look back (Chapters 10-13) 33 Multiple Choice Questions (3 floors each). The volume of test questions come from Chapter 10 & Chapter 13. The to the lowest degree from Chapter 11. Chapter 10 The concept of cadence * Be able to roll in the hay the 4 types of quantity exceeds CHART 10. 4 in chapter ex slide six * Nominal Scales that air division selective information into mutually exclusive and jointly exhaustive categories. Ordinal Scales that maintain the labeling characteristics of nominal phrase scales and withdraw the ability to order data * Interval Scales that have the characteristics of ordinal scales, addition equal intervals amidst points to video display comparative measurements they may include an arbitrary zero point. * Ratio Scales that have characteristics of interval scales, positivist a meaningful zero point so that magnitudes can be comp ard arithmetically. * delimitate Scale dependableness Degree to which measures atomic number 18 free from random error and, therefore, support consistent data.The extent to which the survey responses ar internally consistent. Cronbachs alpha Test-retest reliability The ability of the same instrument to take in consistent results when used a sulphur time under conditions as same as possible to the original conditions. * Be familiar with the steps in the measurement development process (McDaniels diagram) mistake 3 CH 10. * recognise the end mingled with a constitutive and operational commentary of a given construct. luxate 4) * essential ambiguity is a direct execute of the discrepancy between the information accessible to the person and that which is required for adequate exertion of a role. It is the difference between a persons actual order of knowledge and the knowledge that provides adequate expiation of that persons personal necessitate and values. * Operational Role ambiguity is the amount of uncertainty (ranging from actually uncertain to very certai n on a five-point scale) an soulfulness feels regarding job role responsibilities and expectations from other employees and customers. Be able to distinguish between focussed vs. discriminant validity. * Convergent The degree of correlation among contrastive measures that purport to measure the same construct. * ramify The measure of the lack of association among constructs that are supposed to be different. Chapter 11 development measurement scales to build marketing lastingness * learn Semantic differential scale (10) , Likert scalebe able to recognize examples of each (12) Agree, Somewhat Agree, Somewhat disagree, Disagree.Chapter 12 Questionnaire design * Know the differences between the pursuance types of question formats * open-ended Questions to which the respondent replies in his or her own words. * Probed vs Un-probed * closed-ended Questions requiring respondents to choose from a key out of answers * Dichotomous Choice between two answers * Multiple Choice * scal y Responses * What are the reasons for using screening to spot qualifies respondents and probing questions?When do we use ramate? * Understand sequencing rules for laying out questions in a survey (i. e. , general questions first). Slide 16 * Screeners, Warm-up (Easy to answer questions show the respondent that the survey is simple), Transitions (Questions related to query objectives require slightly more effort), surd Complicated (The respondents has committed to completing the questionnaire), Classifying and demographic. Chapter 13 Basic render issues * Know the difference between a Probability Everyone in the creation has a known, nonzero, likelihood of cream (Simple random, Systematic, Stratified, Cluster) * Non-probability types in which specific elements from the commonwealth have been selected in a nonrandom manner. (Convenience, Snowball, Judgment, Quota) * Know the difference between a warning and a population. (Population is the entire chemical group of hoi po lloi about whom information needed as well as called the universe or population of interest. ) * Define simple random take in A seek selected by assigning a number to every element of the population and then using some method acting for randomly selecting elements to be in the sample such as random build dialing * systematic random sample A sample in which the entire population is numbered and elements are selected using a turn off interval (every Nth name is selected * graded random sample A sample that is forced to be more deputy through simple random sample distribution of mutually exclusive and exhaustive subsets both proportionally or disproportionally.Good for data that are not nor promy distributed. * Convenience sample A sample based on using people who are well accessible such as mall intercepts or other high occupation locations. * Sampling error Error that occurs because the sample selected is not perfectly representative of the population. * Be familiar with the McDaniels stages of a sampling plan * Define the target Population- delimitate the characteristics of those you are interested in studying. figure which group of people or entities about which you pauperization to learn more. * Choose the Data disposition Method- influence how you collect the sample such as mail, Internet, telephone, mall intercept, ect. * Select the example Frame- A list of population elements from which units to be sampled can be selected. * Obtain the Sample- Determine how you will get the sample list through probability or non-probability methods. * Determine Sample Size * Select Sample Units * Conduct Fieldwork