SW 430 –Final – 1 of 21 SW 430: Research Methods in Social Work I Final Examination 1.26. When we adhere to a belief because it has been endorsed by someone who has been socially or politically defined as a qualified producer of knowledge, we are using the a. Method of Argument d. Method of Rationality b. Method of Authority e. Method of Science c. Method of Intuition 1.38. “Last week, Elwood’s BAT indicated that he had consumed alcohol. His probation officer changed his testing schedule from two random tests a month to two random tests a week. “At the Elwood’s next BAT, his results indicated that he had consumed alcohol. His probation officer changed his testing schedule from two random tests a week to daily testing. “At his BAT the next day (today), Elwood’s results indicated that he had consumed alcohol. “I think that the results of Elwood’s test tomorrow will indicate consumption of alcohol.” Does this inductive argument adequately support the conclusion that the results of tomorrow’s test will indicate that Elwood consumed alcohol or is the argument fallacious? Give one reason why or why not. (Your explanation should contain less than thirty words.) SUPPORTED FALLACIOUS (circle your answer) _________________________________________________________________________ _________________________________________________________________________ _________________________________________________________________________ 1.82. When we work to ensure “reasonable, nonexploitative, and carefully considered procedures and their fair administration; fair distribution of costs and benefits among persons and groups,” we are implementing which one of the following ethical principles. a. Beneficence d. Justice b. Competence e. Respect c. Comprehension 2.02. S.S. Stevens defined four levels of measurement used to classify measurement schemes: Nominal, Ordinal, Interval, and Ratio. For each of the following, identify the level of measurement by writing Nominal, Ordinal, Interval, or Ratio in the space provided. Do NOT use initials. 2.02.08. __________ Classification of age (1 = infant, 2 = toddler, 3 = pre-school child, 4 = pre-adolescent child, 5 = adolescent, 6 = young adult, 7 = middle-aged adult, 8 = old adult, or 9 = very old adult). 2.02.26. __________ Number of people in a family 2.02.31. __________ Rating of frequency of negative thoughts about self (evaluation of oneself as a “bad” person) in one day: 0 = none of the time, 1 = rarely, 2 = a little of the time, 3 = some of the time, 4 = a good part of the time, 5 = most of the time, 6 = all of the time. 2.02.34. __________ Time spent on task (in minutes). 2.02.35. __________ Years of formal educationSW 430 –Final – 2 of 21 3.21. The score (Y) in the following table represents the number of times a child received first aid at the Gomer Pyle Fine Arts and Letters Summer Boot Camp. f represents the number of children at that particular score. Y f cf c%f 10 2 ________ ________ 9 6 ________ ________ 8 5 ________ ________ 7 5 ________ ________ 6 7 ________ ________ 5 8 ________ ________ 4 9 ________ ________ 3 10 ________ ________ 2 10 ________ ________ 1 12 ________ ________ 0 6 ________ ________ 3.21.1. Fill in the cumulative frequency (cf) column so that it shows the number of children at or below each score level. 3.21.2. Fill in the cumulative percentage frequency [c%f = (cf/n)(100)] column so that it shows the percentage of children at or below each score level. Round your answer to two decimal places. Please show your work. 4.20. We typically set the criterion maximum probability of committing a Type I Error – P[Type I Error] –at α = .05. This implies that the criterion probability of not committing a Type I Error – P[~Type I Error] = 1 – P[Type I Error] – would be 1 – α = .95. We have compared the effectiveness of j =3 programs using c = 3 pairwise comparisons: 1. Program 1 vs Program 2 2. Program 1 vs. Program 3 3. Program 2 vs. Progam 3. For each pairwise comparison, we used a statistical hypothesis test at α = .05 to evaluate the outcome data. Evaluate the following across these c = 3 comparisons. 4.20.1. Assuming that the Null Hypothesis is true, what is the probability that you will not commit a Type I Error on at least one of the c = 3 pairwise comparisons? Please show your work and round your final answer to three decimal places. (1 – α)c = ____________________ 4.20.2. Assuming that the Null Hypothesis is true, what is αexp (the experiment-wise α; the probability that you will commit a Type I Error on at least one of the c = 3 pairwise comparisons)? Please show your work and round your final answer to three decimal places. αexp = ____________________SW 430 –Final – 3 of 21 4.33. You want to evaluate the support for publicly-funded charter schools in the state. You have reason to believe that type of school district (large urban, medium urban, small urban, suburban, or rural districts) may affect attitude, so you want to make sure that individuals are surveyed in proportion to the representation of their type of school district in the population. You have a sampling frame where households are classified according to location in one of these five types of school district. You randomly select individuals so that the proportions from each of the five types of district are equal in the sample and the population. If you follow this procedure you have drawn a(n) a. purposive sample b. quota sample c. random sample d. stratified sample e. systematic sample 5.10. A numerical characteristic of a population (such as average age) is called a(n) while the same numerical characteristic of a sample is called a(n) . 5.23. The score (Y) in the following table represents the score on a social skills checklist. Y f cf 76-80 2 60 71-75 2 58 66-70 3 56 61-65 8 53 56-60 11 45 51-55 15 34 46-50 7 19 41-45 6 12 36-40 3 6 31-35 2 3 26-30 0 1 21-25 1 1 Use the following formula to find the score at the 75th percentile. (i)c-n(p)YYibLPff+= where YP stands for the score at the percentile point YL stands for the exact lower limit of the interval containing the score at the percentile p stands for the percentile expressed as a proportion n stands for the total number of scores in distribution bcf stands for the cumulative frequency up to lower limit of interval containing PY if stands