Optimal Data Analysis, LLC Volume 5 of Optimal Data Analysis (2016) is complete. View journal article

Paul R. Yarnold Optimal Data Analysis, LLC Prior research used ODA to identify the association between work shift (multicategorical class variable, dummy-coded as 1, 2, 3) and the quality of raw material produced (ordered attribute consisting of the integers 1-6). The model obtained using ODA is compared with a novometric model obtained for the same … Continue reading Novometrics vs. ODA: Work Shift and Raw Material Production Quality

Paul R. Yarnold Optimal Data Analysis, LLC Prior research using log-linear analysis to model church attendance (1=low; 2=medium; 3=high) as a function of age (young=0; old=1) and religion (non-Catholic=0; Catholic=1) found that the best fitting model {AR}{AC}{RC} had L2=7.25, df=2, indicating insufficient badness-of-fit (pp. 67-69). For these data exploratory novometric analysis predicting church attendance (ordered … Continue reading Novometric vs. Log-Linear Analysis: Church Attendance, Age and Religion

Paul R. Yarnold Optimal Data Analysis, LLC Prior research using logit analysis to model abortion attitude (oppose=0; favor=2) as a function of religion (Protestant=1; Catholic=2; Jewish=3; Other=4) and time (1972=72; 1978=78) found: “The best fitting model…has separate effects for being Catholic or non-Catholic and for being Protestant or non-Protestant. The categories of Jewish and Other … Continue reading Novometric vs. Logit Analysis: Abortion Attitude by Religion and Time

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeled if adolescents ever had sexual intercourse (the dependent variable: yes=1, no=0) using main-effect logit and probit analysis models treating gender (female=0, male=1) and race (“white” =1; “black”=2) as the independent variables. Both models identified statistically significant effects for gender and race, and both models misclassified … Continue reading Novometric vs. Logit vs. Probit Analysis: Using Gender and Race to Predict if Adolescents Ever Had Sexual Intercourse

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeling intergenerational occupational mobility (professional and managerial=1; clerical and sales=2; craftsman=3; operatives and laborers=4; farmers=5) using several log-linear model approaches failed to identify a model representing a satisfactory fit of the data (p. 66). For these data an exploratory novometric analysis (constrained by the investigator a … Continue reading Novometric vs. Log-Linear Model: Intergenerational Occupational Mobility of White American Men

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeled surgical operation (dummy-coded as 1=neurosurgery; 2=ophthalmology; 3=otorhinolaryngology, 4=vascular-cardiac; 5=thoracic; 6=abdominal; 7=urological; 8=breast; 9=orthopedic; 10=plastic; 11=oral-dental; 12=biopsy) as a function of gender using a log-linear model of: “…quasi-perfect mobility. In this model the main diagonal entries are fixed to their observed values, and the off-diagonal entries … Continue reading ODA vs. Log-Linear Model: Gender and Surgical Operation

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeled one-step Markov transition data indicating geographic mobility of American males after WWII, across time, via log-linear analysis. Results revealed: “…most men stayed in their initial regions…but the observed values on the main diagonal are lower in the first matrix, suggesting that the geographic mobility process … Continue reading GenODA Structural Decomposition vs. Log-Linear Model of One-Step Markov Transition Data: Stability and Change in Male Geographic Mobility in 1944-1951 and 1951-1953

Paul R. Yarnold Optimal Data Analysis, LLC Prior research used the log-linear model to explain shifts in political party identification (democrat=1; independent=2; republican=3) of 202 Catholic voters who reported party identification in the 1956 and 1960 presidential elections. The results showed: “When the symmetry model is fitted to the six off-diagonal cells…L2=20.99, with df=3, which … Continue reading Novometrics vs. ODA vs. Log-Linear Model in Analysis of a Two-Wave Panel Design: Assessing Temporal Stability of Catholic Party Identification in the 1956-1960 SRC Panels

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeled presidential vote (democrat=1; republican=2) as a function of political party identification (democrat=1; independent=2; republican=3) and time (1972=72; 1976=76) via nonsaturated log-linear analysis. Results revealed: “The model {TP}{TV}{PV} has L2=1.88 with df=2. Hence, the best-fitting log-linear model need not include the interaction effect, TPV, thus indicating … Continue reading Novometric Analysis vs. GenODA vs. Log-Linear Model: Temporal Stability of the Association of Presidential Vote Choice and Party Identification

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeled support of another person’s civil liberties (“voted to disallow a Communist speaker”=0; “voted to allow the speaker”=1) as a function of arbitrarily parsed age (39 years=1); education (no college=0; college=1); and region (South, defined as all states in Census South and Border States=1; non-South=0) via … Continue reading Novometric vs. Recursive Causal Analysis: The effect of Age, Education, and Region on Support of Civil Liberties

Paul R. Yarnold Optimal Data Analysis, LLC A popular legacy index of association for 2x2 tables that is based on the odds ratio (OR), Yule’s Q=(OR–1)/(OR+1). Yule’s Q ranges between -1.00 and 1.00, with the value 0 indicating no association. Prior research assessing the association between voting behavior (0=not a voter; 1= voter) and the … Continue reading Novometrics vs. Yule’s Q: Voter Turnout and Organizational Membership

Paul R. Yarnold Optimal Data Analysis, LLC Prior research modeled voter turnout (“not voted”=0; “voted”=1) as a function of race (“white”=1; “black”=2), education (“less than high school”=1; “high school graduate”=2; “college”=3), and memberships in organizations (“none”=0; “one or more”=1) via log-linear analysis. Results revealed: “…in the absence of a confirmatory analysis with another sample and … Continue reading Novometric Analysis Predicting Voter Turnout: Race, Education, and Organizational Membership Status

Paul R. Yarnold Optimal Data Analysis, LLC Used as a validity indicator with the MMPI-2, the F-K Index helps to identify people who may over- or under-report psychological issues. Prior research obtained normative data on this index for males and females sampled in a variety of settings, and visual examination of resulting score distributions suggested: … Continue reading Comparing MMPI-2 F-K Index Normative Data among Male and Female Psychiatric and Head-Injured Patients, Individuals Seeking Disability Benefits, Police and Priest Job Applicants, and Substance Abusers

Paul R. Yarnold Optimal Data Analysis, LLC This study assesses the agreement between the number of lambs born to 227 ewes over two consecutive years. Polychoric correlation could not be validly used to assess agreement because underlying distributional assumptions were violated. Requiring no such distributional assumptions, prior analysis via ODA identified moderate, statistically significant agreement. … Continue reading Novometrics vs. Polychoric Correlation: Number of Lambs Born Over Two Years

Paul R. Yarnold Optimal Data Analysis, LLC Inter-rater reliability of independent ordinal ratings of plant health is assessed by various methods, and compared. View journal article

Paul R. Yarnold Optimal Data Analysis, LLC Prior research examined scores on the MacAndrew Alcoholism (MAC) scale for three Minnesota Multiphasic Personality Inventory (MMPI) codetypes within three samples: psychiatric inpatients and outpatients; medical outpatients referred for a psychiatric evaluation; and alcoholic inpatients. Analysis via factorial MANOVA revealed: “Mean MAC scores varied drastically as a function … Continue reading Novometric Analysis vs. MANOVA: MMPI Codetype, Gender, Setting, and the MacAndrew Alcoholism Scale

Paul R. Yarnold Optimal Data Analysis, LLC Prior empirical comparison of the timeline follow-back (TLFB, dummy-coded as 1) vs. Drinker Profile (DP, coded as 2) methods of quantifying alcohol consumption in treatment research reported pairwise sign tests comparing these methods separately on four categorical ordinal outcomes: abstinent=1; light=2; moderate=3; heavy=4. It was concluded: “The direction … Continue reading Using Novometrics to Disentangle Complete Sets of Sign-Test-Based Multiple-Comparison Findings

Paul R. Yarnold & Ariel Linden Optimal Data Analysis, LLC & Linden Consulting Group, LLC Conceptualization of the D statistic in novometric theory is advanced. View journal article

Paul R. Yarnold Optimal Data Analysis, LLC Base rates of qualitative errors made by people older than 74 years, with (n=42) vs. without (n=225) brain damage, are compared for the Picture Arrangement (PA), Block Design (BD), and Digit Symbol (DS) subtests of the WAIS-R. View journal article