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Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth.

Methodology : European journal of research methods for the behavioral & social sciences

West BT, Kreuter F.
PMID: 29731702
Methodology (Gott). 2018 Jan;14(1):16-29. doi: 10.1027/1614-2241/a000142. Epub 2018 Apr 23.

Because survey response rates are consistently declining worldwide, survey researchers strive to obtain as much auxiliary information on sampled units as possible. Surveys using in-person interviewing often request that interviewers collect observations on key features of all sampled units,...

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West BT, Kreuter F. Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth. Methodology (Gott). 2018;14(1):16-29doi: 10.1027/1614-2241/a000142.
West, B. T., & Kreuter, F. (2018). Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth. Methodology : European journal of research methods for the behavioral & social sciences, 14(1), 16-29. https://doi.org/10.1027/1614-2241/a000142
West, Brady T, and Kreuter, Frauke. "Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth." Methodology : European journal of research methods for the behavioral & social sciences vol. 14,1 (2018): 16-29. doi: https://doi.org/10.1027/1614-2241/a000142
West BT, Kreuter F. Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth. Methodology (Gott). 2018 Jan;14(1):16-29. doi: 10.1027/1614-2241/a000142. Epub 2018 Apr 23. PMID: 29731702; PMCID: PMC5931735.
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Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use.

Methodology : European journal of research methods for the behavioral & social sciences

McGinley JS, Curran PJ.
PMID: 25383075
Methodology (Gott). 2014;10(3):108-116. doi: 10.1027/1614-2241/a000081.

Social and behavioral scientists often measure constructs that are truly discrete counts by collapsing (or binning) the counts into a smaller number of ordinal responses. While prior quantitative research has identified a series of concerns with similar binning procedures,...

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McGinley JS, Curran PJ. Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use. Methodology (Gott). 2014;10(3):108-116doi: 10.1027/1614-2241/a000081.
McGinley, J. S., & Curran, P. J. (2014). Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use. Methodology : European journal of research methods for the behavioral & social sciences, 10(3), 108-116. https://doi.org/10.1027/1614-2241/a000081
McGinley, James S, and Curran, Patrick J. "Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use." Methodology : European journal of research methods for the behavioral & social sciences vol. 10,3 (2014): 108-116. doi: https://doi.org/10.1027/1614-2241/a000081
McGinley JS, Curran PJ. Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use. Methodology (Gott). 2014;10(3):108-116. doi: 10.1027/1614-2241/a000081. PMID: 25383075; PMCID: PMC4217492.
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Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis.

Methodology : European journal of research methods for the behavioral & social sciences

Dziak JJ, Bray BC, Zhang J, Zhang M, Lanza ST.
PMID: 28630602
Methodology (Gott). 2016 Oct;12(4):107-116. doi: 10.1027/1614-2241/a000114. Epub 2016 Dec 05.

Several approaches are available for estimating the relationship of latent class membership to distal outcomes in latent profile analysis (LPA). A three-step approach is commonly used, but has problems with estimation bias and confidence interval coverage. Proposed improvements include...

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Dziak JJ, Bray BC, Zhang J, et al. Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis. Methodology (Gott). 2016;12(4):107-116doi: 10.1027/1614-2241/a000114.
Dziak, J. J., Bray, B. C., Zhang, J., Zhang, M., & Lanza, S. T. (2016). Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis. Methodology : European journal of research methods for the behavioral & social sciences, 12(4), 107-116. https://doi.org/10.1027/1614-2241/a000114
Dziak, John J, et al. "Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis." Methodology : European journal of research methods for the behavioral & social sciences vol. 12,4 (2016): 107-116. doi: https://doi.org/10.1027/1614-2241/a000114
Dziak JJ, Bray BC, Zhang J, Zhang M, Lanza ST. Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis. Methodology (Gott). 2016 Oct;12(4):107-116. doi: 10.1027/1614-2241/a000114. Epub 2016 Dec 05. PMID: 28630602; PMCID: PMC5473653.
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Factorial Invariance and The Specification of Second-Order Latent Growth Models.

Methodology : European journal of research methods for the behavioral & social sciences

Ferrer E, Balluerka N, Widaman KF.
PMID: 20046801
Methodology (Gott). 2008;4(1):22-36. doi: 10.1027/1614-2241.4.1.22.

Latent growth modeling has been a topic of intense interest during the past two decades. Most theoretical and applied work has employed first-order growth models, in which a single manifest variable serves as indicator of trait level at each...

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Ferrer E, Balluerka N, Widaman KF. Factorial Invariance and The Specification of Second-Order Latent Growth Models. Methodology (Gott). 2008;4(1):22-36doi: 10.1027/1614-2241.4.1.22.
Ferrer, E., Balluerka, N., & Widaman, K. F. (2008). Factorial Invariance and The Specification of Second-Order Latent Growth Models. Methodology : European journal of research methods for the behavioral & social sciences, 4(1), 22-36. https://doi.org/10.1027/1614-2241.4.1.22
Ferrer, Emilio, et al. "Factorial Invariance and The Specification of Second-Order Latent Growth Models." Methodology : European journal of research methods for the behavioral & social sciences vol. 4,1 (2008): 22-36. doi: https://doi.org/10.1027/1614-2241.4.1.22
Ferrer E, Balluerka N, Widaman KF. Factorial Invariance and The Specification of Second-Order Latent Growth Models. Methodology (Gott). 2008;4(1):22-36. doi: 10.1027/1614-2241.4.1.22. PMID: 20046801; PMCID: PMC2799302.
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Model error in covariance structure models: Some implications for power and Type I error.

Methodology : European journal of research methods for the behavioral & social sciences

Coffman DL.
PMID: 21331302
Methodology (Gott). 2008 Jan 01;4(4):159-167. doi: 10.1027/1614-2241.4.4.159.

The present study investigated the degree to which violation of the parameter drift assumption affects the Type I error rate for the test of close fit and power analysis procedures proposed by MacCallum, Browne, and Sugawara (1996) for both...

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Coffman DL. Model error in covariance structure models: Some implications for power and Type I error. Methodology (Gott). 2008;4(4):159-167doi: 10.1027/1614-2241.4.4.159.
Coffman, D. L. (2008). Model error in covariance structure models: Some implications for power and Type I error. Methodology : European journal of research methods for the behavioral & social sciences, 4(4), 159-167. https://doi.org/10.1027/1614-2241.4.4.159
Coffman, Donna L. "Model error in covariance structure models: Some implications for power and Type I error." Methodology : European journal of research methods for the behavioral & social sciences vol. 4,4 (2008): 159-167. doi: https://doi.org/10.1027/1614-2241.4.4.159
Coffman DL. Model error in covariance structure models: Some implications for power and Type I error. Methodology (Gott). 2008 Jan 01;4(4):159-167. doi: 10.1027/1614-2241.4.4.159. PMID: 21331302; PMCID: PMC3039454.
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Showing 1 to 5 of 5 entries