Impact of Nonresponse on Survey Estimates of Physical Fitness & Sleep Quality. LinChiat Chang, Ph.D. ESRA 2015 Conference Reykjavik, Iceland
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1 Impact of Nonresponse on Survey Estimates of Physical Fitness & Sleep Quality LinChiat Chang, Ph.D. ESRA 2015 Conference Reykjavik, Iceland
2 Data Source CDC/NCHS, National Health Interview Survey (NHIS) In-person household interviews; telephone supplement Multistage area probability-based sample 35,000 sample adults residing in the USA in 2013
3 NHIS Response Rates since Response Rate (%) 80 Sample Household Family Sample Adult NHIS Survey Year
4 Nonignorable Nonresponse Survey nonresponse merely increases the risk of bias in estimates Nonresponse does not necessarily result in bias Nonresponse may be ignorable if it is random and not associated with core substantive measures Focus: extent of association between the core substantive measures and nonresponse propensity
5 NHIS Paradata Measure Contactability Variables Number of contact attempts that resulted in noncontact Sample adult ever not available Number of reasons for initial refusal(s) Cooperativeness Field rep rating of cooperativeness Field rep rating of likelihood to respond to future survey
6 NHIS Substantive Measures Measure Leisure-time Physical Activities Variables Vigorous workout that cause heavy sweating, or large increases in breathing or heart rate Moderate workout that cause light sweating, or slight to moderate increases in breathing or heart rate Strength training such as lifting weights or doing calisthenics Average number of hours of sleep Sleep Quality Trouble falling asleep Trouble staying asleep Took medications to aid falling or staying asleep Woke up feeling rested
7 How much do people exercise? (ACSM levels) Percentage (%) of U.S. Adults none <3 times 3+ times Vigorous Exercise none <5 times 5+ times Moderate Exercise none <2 times 2+ times Strength Training
8 How well do people sleep? Percentage (%) of U.S. Adults Times in Past Week trouble.falling.asleep trouble.staying.asleep took.meds.to.sleep woke.up.feeling.rested Sleep Measure
9 How much do people sleep? 30 Percentage (%) of U.S. Adults Average Hours of Sleep per Day
10 Nonresponse Bias Physical Fitness & Sleep Quality
11 Opposing Forces of Contactability vs. Cooperativeness Vigorous Exercise Type of Physical Exercise Strength Training Response Propensity Contactability Cooperativeness Moderate Exercise Impact of Response Propensity on Frequency of Physical Exercise Note: All variables recoded to range 0-1
12 Concordance between Noncontact & Noncooperation no Ever.Noncontact yes Ever.Not.Cooperate yes no 13% never noncontact /refused Pearson residuals:
13 Easy-to-reach respondents report LESS vigorous exercise 60 Percentage (%) of Respondents Ever Noncontact / Refusal no yes 0 none <3 times 3+ times Vigorous Exercise per Week
14 Relatively weak effects on moderate exercise 60 Percentage (%) of Respondents Ever Noncontact / Refusal no yes 0 none <5 times 5+ times Moderate Exercise per Week
15 Easy-to-reach respondents report LESS strength training 60 Percentage (%) of Respondents Ever Noncontact / Refusal no yes 0 none <2 times 2+ times Strength Training per Week
16 Compounding Forces of Contactability & Cooperativeness Woke Up Feeling Rested Measure of Sleep Quality Trouble Staying Asleep Trouble Falling Asleep Took Medications to Sleep Response Propensity Contactability Cooperativeness Hours of Sleep per day Impact of Response Propensity on Sleep Quality Note: All variables recoded to range 0-1
17 Easy-to-reach & willing respondents report MORE sleep medications 7.5 Percentage (%) of Respondents Ever Noncontact / Refusal no yes times 3-4 times 5-6 times 7 times Number of Times per Week Took Sleep Medications
18 Easy-to-reach & willing respondents report MORE hours of sleep 30 Percentage (%) of Respondents Ever Noncontact / Refusal no yes Number of Hours of Sleep per Day
19 Covariates Controlling for Demographics & Chronic Conditions
20 To what extent can nonresponse bias be attributed to certain demographic attributes or chronic conditions?
21 Covariates Age, gender, race, household income Obesity Current Smoker Diabetes Hypertension Hyperlipidemia
22 Model Coefficients (SE) Vigorous Exercise No Covariate With Covariates Contactability (0.01)*** (0.01)*** Cooperativeness 0.05 (0.01)*** 0.04 (0.01)*** Moderate Exercise Contactability (0.01)*** (0.01). Cooperativeness 0.11 (0.01)*** 0.10 (0.01)*** Strength Training Contactability (0.01)*** (0.01)*** Cooperativeness 0.03 (0.01)** 0.02 (0.01)** Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
23 Model Coefficients (SE) Trouble Falling Asleep No Covariate With Covariates Contactability 0.02 (0.01)* 0.01 (0.01) Cooperativeness 0.04 (0.01)** 0.02 (0.01)* Trouble Staying Asleep Contactability 0.05 (0.01)*** 0.00 (0.01) Cooperativeness 0.05 (0.01)*** 0.04 (0.01)** Took Sleep Medications Contactability 0.04 (0.01)*** 0.01 (0.01) Cooperativeness 0.05 (0.01)*** 0.04 (0.01)*** Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
24 Model Coefficients (SE) Woke Up Feeling Rested No Covariate With Covariates Contactability 0.04 (0.01)** 0.02 (0.01) Cooperativeness (0.02) (0.02) Average Number of Hours of Sleep Contactability (0.004)*** (0.004)*** Cooperativeness (0.005)** (0.005)*** Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
25 Interaction Effects How Nonresponse Propensity Impact Model Estimates
26 Predicting Frequency of Leisure-time Strength Training Predictor Model Coef (SE) Contactability (0.02) Coopera6veness (0.027) Obesity (0.019)*** Diabetes (0.034) Smoker (0.024) Hypertension (0.025) Hyperlipidemia (0.025) Age (0.039)*** Gender (0.018)* Race (0.02) Household Income 0.14 (0.039)*** Contactability x Obesity (0.016) Contactability x Diabetes (0.029) Contactability x Smoker (0.019) Contactability x Hypertension (0.021) Contactability x Hyperlipidemia (0.021) Contactability x Age (0.033) Contactability x Gender (0.015) Contactability x Race (0.016) Contactability x Household Income (0.033)** Coopera6veness x Obesity (0.02) Coopera6veness x Diabetes (0.034) Coopera6veness x Smoker (0.025) Coopera6veness x Hypertension (0.025) Coopera6veness x Hyperlipidemia (0.026) Coopera6veness x Age (0.039) Coopera6veness x Gender (0.019) Coopera6veness x Race (0.021) Coopera6veness x Household Income (0.04) Main Effect of Household Income on Strength Training Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
27 Predicting Frequency of Leisure-time Strength Training Predictor Model Coef (SE) Contactability (0.02) Coopera6veness (0.027) Obesity (0.019)*** Diabetes (0.034) Smoker (0.024) Hypertension (0.025) Hyperlipidemia (0.025) Age (0.039)*** Gender (0.018)* Race (0.02) Household Income 0.14 (0.039)*** Contactability x Obesity (0.016) Contactability x Diabetes (0.029) Contactability x Smoker (0.019) Contactability x Hypertension (0.021) Contactability x Hyperlipidemia (0.021) Contactability x Age (0.033) Contactability x Gender (0.015) Contactability x Race (0.016) Contactability x Household Income (0.033)** Coopera6veness x Obesity (0.02) Coopera6veness x Diabetes (0.034) Coopera6veness x Smoker (0.025) Coopera6veness x Hypertension (0.025) Coopera6veness x Hyperlipidemia (0.026) Coopera6veness x Age (0.039) Coopera6veness x Gender (0.019) Coopera6veness x Race (0.021) Coopera6veness x Household Income (0.04) Main Effect of Household Income on Strength Training Significant Interaction with Contactability Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
28 Nonresponse can weaken link between income & strength training 0.30 Predicted Frequency of Strength Training Contactability Household Income Note: All variables recoded to range 0-1
29 Predicting Frequency of Trouble Falling Asleep Predictor Model Coef (SE) Contactability (0.011) Coopera6veness (0.014) Feel Sad (0.075) Feel Nervous (0.066). Feel Restless (0.063)*** Feel Hopeless (0.100)* Everything takes Effort (0.0600)*** Feel Worthless (0.102) Main Effects of Negative Emotions on Sleep Contactability x Feel Sad (0.059) Contactability x Feel Nervous (0.050)*** Contactability x Feel Restless (0.047)*** Contactability x Feel Hopeless (0.079)* Contactability x Everything takes Effort (0.046) Contactability x Feel Worthless (0.082) Coopera6veness x Feel Sad (0.081) Coopera6veness x Feel Nervous (0.069) Coopera6veness x Feel Restless (0.065) Coopera6veness x Feel Hopeless (0.105) Coopera6veness x Everything takes Effort (0.062)** Coopera6veness x Feel Worthless (0.107) Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
30 Predicting Frequency of Trouble Falling Asleep Predictor Model Coef (SE) Contactability (0.011) Coopera6veness (0.014) Feel Sad (0.075) Feel Nervous (0.066). Feel Restless (0.063)*** Feel Hopeless (0.100)* Everything takes Effort (0.0600)*** Feel Worthless (0.102) Contactability x Feel Sad (0.059) Contactability x Feel Nervous (0.050)*** Contactability x Feel Restless (0.047)*** Contactability x Feel Hopeless (0.079)* Contactability x Everything takes Effort (0.046) Contactability x Feel Worthless (0.082) Coopera6veness x Feel Sad (0.081) Coopera6veness x Feel Nervous (0.069) Coopera6veness x Feel Restless (0.065) Coopera6veness x Feel Hopeless (0.105) Coopera6veness x Everything takes Effort (0.062)** Coopera6veness x Feel Worthless (0.107) Main Effects of Negative Emotions on Sleep Significant Interactions with Contactability Significant Interaction with Cooperativeness Signif. codes: *** ** 0.01 * All variables recoded to range 0-1
31 Nonresponse can weaken impact of hopelessness on sleep 0.30 Predicted Frequency of Trouble Falling Asleep Contactability How Often Felt Hopeless in Past 30 Days Note: All variables recoded to range 0-1
32 Nonresponse can weaken impact of proven predictors on sleep Predicted Frequency of Trouble Falling Asleep Cooperativeness How Often Everything Felt Like An Effort in Past 30 Days Note: All variables recoded to range 0-1
33 Summary Key Findings
34 Summary Respondents who were easy to reach reported less vigorous exercise and strength training Respondents who were more cooperative reported more trouble with sleep Impact of contactability is partially mediated by demographics & chronic conditions Substantive model effects could be undermined by nonresponse bias
35 The End
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