Sampling Of Populations Methods And Applications 4th Edition Paul S. Levy, Stanley Lemeshow - Solutions

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Interpret the odds ratios of three predictor variables.
Fit a two-level, random-intercept model with a random intercept and three student-level predictor variables, gender, byses, and usecalc. Use the grand-mean centering for byses and usecalc before fitting the model.
Fit an unconditional model and obtain the between-group variance. Compute the ICC and interpret it.
Multilevel logistic regression models will be fitted to estimate whether students are capable of doing simple operations with decimals, fractions, powers, and roots. The binary outcome variable is Profmath2, and the predictor variables are gender, byses, usecalc, and urban. Answer the following
We will conduct a study investigating the relationships between students' math achievement and a set of student-level predictors and a school-level predictor. The outcome variable is mathach, and the predictor variables are gender, byses, usecalc, usecompu, and urban. The multilevel modeling for
Write a report to summarize the results from the output.
Make a publication-quality table containing the estimated logit coefficients and odds ratios.
Fit a conventional PO model without weights and the elements of survey designs using the same predictor variables as in Exercise 1. Compare the logit coefficient and its standard error of sex between the conventional PO model and the PO model with complex sampling survey designs.
Interpret the odds ratios for sex, educ, and sibs.
What are the F test for the model and the p value? What do they tell us?
What is the number of strata, and what is the number of primary sampling units (PSUs)?
Specify the complex sampling design variables and weights using the svyset command.
Conduct an analysis for a proportional odds model with complex sampling survey designs to estimate the ordinal response variable fechld from the five predictor variables sex, educ, age, kidjob, and sibs. The probability weight for the data is wtss, and the strata variable is vstrat.
Write a report to summarize the results from the output.
Make a publication-quality table containing the estimated logit coefficients and odds ratios.
Use the listcoef, expand command to compute the odds ratios. List the odds ratios for satfin comparing the base category versus each of the other two categories, and interpret them.
In the regression table, identify the logit coefficient, the Wald z test, and the 95% confidence interval for the predictor variables age and satfin. Are they statistically significant? What categories are they comparing?
List constraints or scale parameters.
Identify the Wald chi-square test of the model, and interpret it.
Conduct an analysis for a stereotype logistic regression model, and estimate the ordinal response variable happy from the four predictor variables sex, educ, age, and satfin.
Write a report to summarize the results for the AC model.
Make a publication-quality table displaying results for the AC model.
Produce a publication-quality table with the outreg2 command displaying the results for the constrained multinomial logistic regression.
Interpret the odds ratios.
Use the listcoef command with the adjacent option to compute the odds of two adjacent categories.
From the equations for the multinomial logistic regression model, compute the intercepts and the logit coefficients for the equations of the AC model.
Based on the output, write the equations for the constrained multinomial logistic regression.
Recode the values of fechld by reversing the order and defining strongly disagree to be 1 and strongly agree to be 4. Specify the recoded category 1 (strongly disagree) as the base category when fitting the model.
Conduct an analysis for an adjacent categories logistic regression model to examine the relationship between the ordinal response variable fechld and the predictor variables educ, kidjob, and sibs.
Fit the same CR model as that in Exercise 1 using the seqlogit command.
Write a report to summarize the results from the output.
Make a publication-quality table containing the estimated logit coefficients and odds ratios.
Interpret the odds ratios for class and sibs.
Identify the logit coefficients, the Wald z tests, and the 95% confidence intervals for sex and sibs. Are they statistically significant?
Identify the likelihood ratio test of the model, and interpret it.
Conduct an analysis for a continuation ratio model using the ocratio command to examine the relationship between the outcome variable degree and three predictor variables sex, class, and sibs.
Fit a generalized ordinal logistic regression model using the same variables as those in the preceding PPO model in Exercise 3, Which model is more parsimonious?
Write a report to summarize the results from the output.
Make a publication-quality table containing the estimated logit coefficients and odds ratios.
Interpret the odds ratios for educ and satfin.
List the logit coefficients, the Wald z tests, and the 95% confidence intervals for the predictor variables violating the assumption.
Identify the likelihood ratio test of the model, and interpret it.
Identify predictor variable(s) violating the proportional odds or the parallel lines assumption.
With the same variables, conduct an analysis for a partial proportional odds (PPO) model.
Use the brant command to test the proportional odds assumption for the model and each predictor. Is the assumption violated?
Conduct an analysis for a proportional odds model to estimate the ordinal response variable happy from the four predictor variables sex, educ, age, and satfin.
Write a report to summarize the results from the output.
Make a publication-quality table containing the estimated logit coefficients and odds ratios.
What are the important criteria you may use for model comparisons?
Use the brant command to test the proportional odds assumption, and interpret the results.
Interpret the odds ratios for sex, educ, and sibs.
Identify the logit coefficient, the Wald z test, and the 95% confidence interval for the predictor variables sex and educ. Are they statistically significant?
List two measures of pseudo R and the AIC and BIC statistics computed by the fitstat command.
Compute the deviance statistic for the model.
Identify the likelihood ratio test of the model, and interpret it.
Conduct an analysis for a proportional odds model to estimate the ordinal response variable fechld from the five predictor variables sex, educ, age, kidjob, and sibs.
Write a report to summarize the results from the output.
Make a publication-quality table containing the estimated logit coefficients and odds ratios.
Interpret the odds ratio for educ and age.
Identify the logit coefficient, the Wald z test, and the 95% confidence interval for the predictor variable educ.
List two measures of pseudo R and the AIC and BIC statistics computed by the fitstat command.
Compute the deviance statistic for the model.
Identify the likelihood ratio test of the model, and interpret it.
Conduct a logistic regression analysis to examine the relationship between the outcome variable gunlaw and three predictor variables from three predictor variables sex, educ, and age. Before conducting the analysis, recode gunlaw into a new variable named gun so that 1 = favoring gun permit and 0 =
Conduct a multiple regression analysis to estimate tvhours from three predictor variables sex, educ, and age.
Run a chi-square test to investigate the relationship between degree and class.
Perform a correlational analysis for satfam7 and satfin.
Make a two-way table for degree and class.
Conduct a frequency analysis for happy7. What percentages of respondents are very happy?
Run a descriptive statistics analysis for coninc, and interpret the results.
Save the graph with a name.
Draw a scatter plot to explore the relationship between satfam7 and satfin.
Produce a histogram for educ.
Label the new variable happyrev, happiness, and then label its values 1 "not too happy", 2 "pretty happy", and 3 "very happy".
Find the variable happy, and recode it to a new variable happyrev. Recode the values of 1, 2, and 3 in happy into the values of 3, 2, and 1, respectively, for the new variable.
A health planning group wants to conduct a telephone survey on issues related to health insurance coverage and access to medical care in New Mexico.They want to complete 2,400 random digit dialed interviews with an equal distribution of completed interviews in four policy planning areas (the five
The state of Georgia wants to conduct a random digit dialed telephone survey of the general adult population on topics related to education. They want to complete 3,000 interviews with Hispanic households. What starting sample size is required if the following sample assumptions are
A newspaper wants to conduct a national omnibus survey on a variety of issues, including politics, the environment, taxes, and foreign affairs. They want 2,000 completed interviews in the shortest time possible and therefore want to use the most efficient, quick turn-around sampling strategy that
A simple random sample was taken of 300 households in a community containing 3562 households. Respondents from each household were queried on whether there had been a burglary during the past year in either that house or any other house on the block segment containing that house. The following six
From the data presented in the previous exercise, estimate the sensitivity and the specificity of the sphygmomanometer examination used in the screening for hypertension.
These same persons were screened for diabetes on the basis of a single fasting blood glucose test. The particular screening method has a known sensitivity equal to 80% and a specificity equal to 96%. Based on findings of 14 positive tests, estimate and give 95% confidence intervals for the
A simple random sample was taken of 525 workers in a plant employing 3575 workers. All persons sampled were given an electrocardiogram that was read for abnormalities independently by two physicians. Of the 525 sample persons, 25 had abnormalities noted by both physicians; 15 had abnormalities
Use the hot deck method to impute missing values for the data in Table 13.2.How does the resulting estimated mean and its standard error compare with that which would have been obtained had there been 100% response?
with the modification discussed in Exercise 13.4. How does the estimated mean and its standard error computed on the basis of multiple imputation compare with that originally obtained?
Repeat the illustrative example presented in Section
Consider the data presented in the example used to illustrate the hot deck method. Impute the missing values for MMSE using the hot deck method as used in that example with the following modification. Assume that the individuals with missing values will, in general, have lower MMSEs than those who
and 13.3, using the appropriate sampling of nonrespondents, estimate X, /?,, and R2.
In a community containing 200 households, it is desired to conduct a mail survey for purposes of estimating Ä" (the number of persons 18-64 years of age in the community), /?, (the proportion of employed persons among all persons 18-64 years of age), and R2 (the average number of work days lost
Use the jackknife method to estimate the standard error of the overpayment proportion for the data in Table 12.1. How does this compare with that obtained by the linearization method?
A sample survey of video stores was taken for purposes of estimating the proportion of these stores that offer incentives to customers based on prepaid membership plans. A simple random sample of 48 such establishments was taken, and each of 6 interviewers was randomly allocated 8 such stores for a
In a large state, there are 24 counties that are not in metropolitan areas. For purposes of estimating the total number of admissions during the calendar year 2000 to hospitals in this 24-county area with acquired immune deficiency syndrome (AIDS), these counties are grouped into six strata, and a
Let x be an estimate of the mean level of a variable X, and let у be an estimate of the mean level of a variable J? where both are obtained from simple random sampling. Let z = x у . Use linearization to find an expression for the estimated variance of the distribution of z.
(For those having access to SAS): Download the SAS data file courti.sasbdat from the Wiley FTE. This file contains the data for the 26 district courts discussed in Section 11.3.4. From this file, using proc survey select in SAS, and using the seed 6142009, take a PMR sample of 12 PSUs. Using the
(For those having access to software such as Stata or SUDAAN): Estimate the total number of admissions per bed from the sample selected in Exercise 11.3. Also, determine the standard error of this estimate.
From the sample selected in the previous exercise, determine the total number of hospital admissions during 1989 in the 37-county region. Also, determine the standard error of this estimated total.
From the population of counties shown in Exercise 10.16, a PPS sample with replacement of five counties is taken. For every selection of a county at the first stage, a sample of one hospital is taken at the second stage. The sampling is performed as follows:a. The procedure for taking a PPS sample
It is desired to estimate the number of Koreans living in a particular city. The city encompasses six telephone exchanges, and examination of the latest telephone directory showed the following frequencies of the two most common Korean surnames—Kim and Park.It is thought that approximately 60% of
Suppose that you wish to take a two-stage PPS sample with replacement of health centers for purposes of estimating the total number of patients currently taking Prozac. Suppose further that the measure of size variable for the PPS sampling is the number of patients, and that the random numbers
A simple random sample of five gasoline stations vvas taken in a mediumsize city containing 30 such stations. Within each of these five sample stations, a mobile unit with equipment to collect urine and saliva specimens was set up, and a sample of 1 in 10 automobiles entering the station was
From the sample taken in Exercise 10.17 estimate the total number of admissions for 2008 among the 37 counties in this region. What is the estimated standard error of this estimate? (Use appropriate statistical software if available.)

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Sampling Of Populations Methods And Applications 4th Edition Paul S. Levy, Stanley Lemeshow - Solutions

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