Ftm 460 Exam3 Study Guide

FTM 460 Exam 3 Review (Chapters 10-13) 33 Multiple Choice Questions (3 points each). The majority of test questions survey from Chapter 10 & Chapter 13. The least from Chapter 11. Chapter 10 The concept of measurement * Be up to(p) to grant the 4 types of measurement scales CHART 10. 4 in chapter go slide six * Nominal Scales that partition data into mutually sole(prenominal) and collectively double-dyed(a) categories. Ordinal Scales that maintain the labeling characteristics of nominal scales and have the world power to order data * Interval Scales that have the characteristics of ordinal scales, plus jibe intervals in the midst of points to show relative amounts they may include an arbitrary cypher point. * Ratio Scales that have characteristics of interval scales, plus a meaningful aught point so that magnitudes can be comp ared arithmetically. * correct Scale dependability Degree to which measures are free from stochastic error and, therefore, provide self-consiste nt data.The extent to which the survey responses are internally consistent. Cronbachs alpha Test-retest reliableness The ability of the comparable instrument to produce consistent results when used a second time under conditions as similar as thinkable to the original conditions. * Be familiar with the steps in the measurement teaching process (McDaniels diagram) err 3 CH 10. * Know the disagreement amid a constitutive and operational definition of a given construct. Slide 4) * Constitutive ambiguity is a direct function of the discrepancy betwixt the information available to the person and that which is begd for adequate performance of a role. It is the difference between a persons actual conjure up of knowledge and the knowledge that provides adequate satisfaction of that persons personalised needs and values. * Operational Role ambiguity is the amount of uncertainty (ranging from very(prenominal) uncertain to very certain on a five-point scale) an individual feels rega rding art role responsibilities and expectations from other employees and customers. Be able to distinguish between merging(prenominal) vs. discriminant validity. * Convergent The degree of correlation among different measures that purport to measure the same construct. * Discriminate The measure of the lack of association among constructs that are supposed to be different. Chapter 11 Using measurement scales to build marketing effectiveness * Define 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 following types of question formats * open-ended Questions to which the respondent replies in his or her declare words. * Probed vs Un-probed * closed-ended Questions requiring respondents to choose from a listen of answers * Dichotomous Choice between both answers * Multiple Choice * Scaled Responses * What are the reasons for development screening to come across qualifies respondents and probing questions?When do we use branching? * Understand sequencing rules for laying pop out questions in a survey (i. e. , general questions first). Slide 16 * Screeners, unwind (Easy to answer questions show the respondent that the survey is simple), Transitions (Questions related to research objectives require slightly more effort), Difficult Complicated (The respondents has committed to completing the questionnaire), Classifying and demographic. Chapter 13 Basic sampling issues * Know the difference between a hazard Everyone in the creation has a known, nonzero, likelihood of selection (Simple random, Systematic, Stratified, Cluster) * Non-probability Samples in which circumstantial elements from the population have been selected in a nonrandom manner. (Convenience, Snowball, Judgment, Quota) * Know the difference between a strain and a population. (Population is the entire group of multitude about whom in formation needed also called the universe or population of interest. ) * Define simple random ideal A audition selected by assigning a number to every element of the population and indeed using some method for randomly selecting elements to be in the sample such as random digit dialing * systematic random sample A sample in which the entire population is numbered and elements are selected using a skip interval (every Nth name is selected * stratified random sample A sample that is forced to be more legate through simple random sampling of mutually exclusive and exhaustive subsets either proportionally or disproportionally.Good for data that are not usually distributed. * Convenience sample A sample based on using people who are easily accessible such as meat intercepts or other high traffic locations. * Sampling error shift that occurs because the sample selected is not perfectly representative of the population. * Be familiar with the McDaniels stages of a sampling plan * D efine the target Population- make up the characteristics of those you are interested in studying.Determine which group of people or entities about which you compliments to learn more. * Choose the Data Collection Method- Determine how you collect the sample such as mail, Internet, telephone, mall intercept, ect. * Select the Sample Frame- A list of population elements from which units to be sampled can be selected. * Obtain the Sample- Determine how you pull up stakes get the sample list through probability or non-probability methods. * Determine Sample Size * Select Sample Units * Conduct Fieldwork