In this episode Patrick and Greg construct a deconstruction of the construct of construct validity. Constructively. Along the way they also discuss Jacques, sheep STDs, Bill Clinton, college admissions, touching a giant turtle, butwinking, cadaver bingo, nomological networks, teen spirit, playing drop-the-hanky, ticket to the prom, and lipstick on a pig.
S2E33: Truth, Balderdash, and Construct Validity Read More »
Greg and Patrick talk about how, although textbooks almost exclusively talk about simple random samples, in practice they almost never actually occur. To try to sort this out, they enlist the help of Dr. Laura Stapleton from the University of Maryland, who lived a prior life as an economist and knows a thing or two
S2E32: Lies, Damned Lies, and Random Samples with Laura Stapleton Read More »
Patrick and Greg celebrate international haiku day with listener-submitted HaiQs, and somehow tie that to a discussion of team science, all while interviewing intern applicant Ethan McCormick. Along the way they also discuss Googling as research, cheddar fries, Big Lima Bean, Mc vs. Mac, moody loners in Montana cabins, English particle accelerators, the Boulder Model,
S2E31: Quantitude HaiQ / Metaphor for Team Science / Plus Intern Issues Read More »
Greg and Patrick explore the many interesting issues related to centering predictor variables prior to analysis, both in the standard regression model and in the multilevel model. Along the way they also discuss honking Diet Coke through your nose, rashes, hostage negotiation, reading at seven months of age, dealer’s choice, Coors Light, Galapagos tortoises, friendly
S2E30: ‘Always Center Your Predictors!’ And Other Sh*t My Advisor Says Read More »
Patrick and Greg fulfill a legal obligation to interview the unnecessarily ubiquitous Dr. Dan McNeish of Arizona State University about why you probably don’t need to use multilevel modeling even when you have multilevel data. Along the way they also mention MacNair, safety schools, the Green Monster, driving a Corvette across the country, Compensation Club,
S2E29: Multilevel Models — The Often Unnecessary Green Monster Read More »
Pursuant to court order, Greg and Patrick find themselves legally compelled to discuss key aspects of training quantitative methodologists, including knowledge acquisition, knowledge application, and knowledge generation. Along the way, they also mention: Nuckles, too many Dans, onomatopoeia, The One, the number of the day, a big tylenol, bluesheets, Mr. Miyagi, Lunch n Learn, reviewing
S2E28: McNeish v. Quantitude — Training Quantitative Methodologists Read More »
In this episode Greg and Patrick attempt to resolve long festering relationship issues that arise between the multilevel modeling and structural equation modeling approaches to growth curve analysis. Along the way they also discuss first dates, Jets and Sharks, Cubs and Cardinals, Montagues and Capulets, Tsingtao Beer, Thunderdome, stupid LISREL tricks, pressure math, dirty secrets,
S2E26: MLM vs. SEM: Opportunities for Growth Read More »
In this episode Patrick and Greg talk about the dreaded but often very real case of having a small sample size: what you should watch out for, and what options you have to squeeze the most information and inferential potential from your precious data. Along the way they also mention Name That Tune, Space Mountain,
S2E25: Options for Small Samples Read More »
In this episode Greg and Patrick explore the freakish and terrifying topic of equivalent models, particularly as they arise within the structural equation modeling analytical framework. Along the way they also discuss rinsing toes, palindromes, anagrams, being a tad unquiet, under-teaching, double-secret probation, scary cousins, sausage makers, Tribbles, empty beer bottles, Hard Core History, a
S2E24: The Equivalent Models Problem Read More »
Patrick and Greg talk about variability — both within individuals and within groups — as a source of really interesting and often overlooked research questions, to complement our well-developed skillset for studying means. Along the way, they also mention: Natatoriums, finding your spot, picking at a scab, the Polkaholics, Location Scale models, high-fiving statisticians, Inception,
S2E23: Research Questions About Variability Read More »
