2
A workshop based on Interaction Effects in Linear and Generalized Linear Models (Kaufman, 2019), a comprehensive and accessible text providing a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of a set of interpretive tools, introduces the ICALC Toolkit for Stata, and offers start-to-finish examples applying ICALC to show how to interpret interaction effects for a variety of different techniques of analysis. The workshop provides a foundation in the principles of interpretation and training in the use of the ICALC Toolkit for Stata to produce the calculations, tables and graphics needed to help understand and explain your results. Consult the schedule and outline of topics for more details. Instructor: Robert L. (Bob) Kaufman (PhD, University of Wisconsin, 1981) Kaufman is professor emeritus of sociology and past Chair of the Departments of Sociology at Temple University and at Ohio State University. Much of his research on applied statistics was motivated by specific substantive problems encountered in his research in the area of social stratification and inequality. But he also has a long-standing interest in the general topic of techniques for testing, interpreting, and presenting quantitative results in an appropriate and intuitive fashion, such as the detection and correction of heteroscedasticity and the interpretation of interaction effects. He has published monographs in the Sage Series Advanced Quantitative Techniques in the Social Sciences (#12) and in Quantitative Applications in the Social Sciences (#172). And his papers on quantitative methods appeared in American Sociological Review, American Journal of Sociology, Sociological Methodology, Sociological Methods and Research, and Social Science Quarterly. He served on the editorial board of Sociological Methods and Research for 15 years and taught graduate-level statistics courses almost every year from 1980 to 2018. NECESSARY BACKGROUND Proficiency with the use and interpretation of regression analysis (ordinary least squares); an introductory knowledge of interaction effects and of the basics of running Stata. Should also have a reader’s knowledge of common non-linear models such as logistic regression, probit analysis and count models. FEE $995 ($495 for graduate students) payable by check, money order or purchase order, made out to Temple University. PARTICIPANTS RECEIVE Bound copy of detailed lecture notes and Powerpoint slides Flash drive with all do-files and datasets for book and workshop examples Lunch, morning and mid-afternoon snacks, and beverages both days Using ICALC to Interpret Interaction Effects in Linear & Generalized Linear Models March 29–30, 2019 | Temple University Center City Campus (Room 608) Online registration form at icalcrlk.com/workshop Register by March 25 to guarantee that there will be sufficient class materials and refreshments for your participation.

Using ICALC to Interpret Interaction Effects in Linear & Generalized Linear Modelsus.sagepub.com/sites/default/files/kaufman_pdf.pdf · 2019-01-04 · A workshop based on Interaction

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Page 1: Using ICALC to Interpret Interaction Effects in Linear & Generalized Linear Modelsus.sagepub.com/sites/default/files/kaufman_pdf.pdf · 2019-01-04 · A workshop based on Interaction

A workshop based on Interaction Effects in Linear and Generalized Linear Models (Kaufman, 2019), a comprehensive and accessible text providing a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of a set of interpretive tools, introduces the ICALC Toolkit for Stata, and offers start-to-finish examples applying ICALC to show how to interpret interaction effects for a variety of different techniques of analysis.

The workshop provides a foundation in the principles of interpretation and training in the use of the ICALC Toolkit for Stata to produce the calculations, tables and graphics needed to help understand and explain your results. Consult the schedule and outline of topics for more details.

Instructor: Robert L. (Bob) Kaufman (PhD, University of Wisconsin, 1981)

Kaufman is professor emeritus of sociology and past Chair of the Departments of Sociology at Temple University and at Ohio State University. Much of his research on applied statistics was motivated by specific substantive problems encountered in his research in the area of social stratification and inequality. But he also has a long-standing interest in the general topic of techniques for testing, interpreting, and presenting quantitative results in an appropriate and intuitive fashion, such as the detection and correction of heteroscedasticity and the interpretation of interaction effects. He has published monographs in the Sage Series Advanced Quantitative Techniques in the Social Sciences (#12) and in Quantitative Applications in the Social Sciences (#172). And his papers on quantitative methods appeared in American Sociological Review, American Journal of Sociology, Sociological Methodology, Sociological Methods and Research, and Social Science Quarterly. He served on the editorial board of Sociological Methods and Research for 15 years and taught graduate-level statistics courses almost every year from 1980 to 2018.

NECESSARY BACKGROUNDProficiency with the use and interpretation of regression analysis (ordinary least squares); an introductory knowledge of interaction effects and of the basics of running Stata. Should also have a reader’s knowledge of common non-linear models such as logistic regression, probit analysis and count models.

FEE$995 ($495 for graduate students) payable by check, money order or purchase order, made out to Temple University.

PARTICIPANTS RECEIVE• Bound copy of detailed lecture notes and Powerpoint slides• Flash drive with all do-files and datasets for book and workshop examples• Lunch, morning and mid-afternoon snacks, and beverages both days

Using ICALC to Interpret Interaction Effects in Linear & Generalized Linear Models

March 29–30, 2019 | Temple University Center City Campus (Room 608)

Online registration form at icalcrlk.com/workshopRegister by March 25 to guarantee that there will be sufficient class materials and refreshments for your participation.

Page 2: Using ICALC to Interpret Interaction Effects in Linear & Generalized Linear Modelsus.sagepub.com/sites/default/files/kaufman_pdf.pdf · 2019-01-04 · A workshop based on Interaction

DAY ONE

DAY TWO

9AM–10:45AM

10:45AM–11AM

11AM–12:15PM

12:15PM–1PM

1PM–3PM

3PM–3:15PM

3:15PM–5PM

9AM–10:45AM

10:45AM–11AM

11AM–12:15PM

12:15PM–1PM

1PM–3PM

3PM–3:15PM

3:15PM–5PM

Welcome and overview General background and common problems Principles of interpretation and best practices for linear models

Morning break

One moderator examples applying principles

Lunch

Using ICALC commands for linear models More examples, start to finish

Afternoon break

Time for participants to run examples and/or apply to their own data

GLM as two component modelChallenges of interpretation in GLMs Solutions

Morning break

Additional ICALC options for GLMs

Lunch

Logistic 2 moderator example start to finish Count model 1 moderator example start to finishCount model 3-way interaction example start to finishExtensions

Afternoon break

Time for participants to run examples and/or apply to their own data

SELECTED NEARBY HOTELS

Courtyard by Marriot | 21 N. Juniper St. | 215-496-3200Residence Inn | Penn Square, One East | 215-557-0005Le Meridien Philadelphia | 1421 Arch St. | 215-422-8200Doubletree by Hilton | 237 S. Broad St. | 215-893-1600Kimpton Hotel Palomar | 117 S. 17th St. | 215-563-5006

Seminar Topics and Schedule (Tentative)