Redundancy analysis for qualitative variables

Redundancy analysis (also called principal components analysis of instrumental variables) is a technique for two sets of variables, one set being dependent of the other. Its aim is maximization of the explained variance of the dependent variables by a linear combination of the explanatory variables. The technique is generalized to qualitative variables; it then gives implicitly a simultaneous optimal scaling of the dependent, qualitative variables. Examples are taken from the Dutch Life Situation Survey 1977, using Satisfaction with Life and Happiness as dependent variables. The analysis leads to one well-being scale, defined by the explanatory variables Marital status, Schooling, Income and Activity.The views expressed in this paper are those of the author and do not necessarily reflect the policies of the Netherlands Central Bureau of Statistics.     

Polydipsia induced in the rat by a second-order schedule

Drinking was studied in rats pressing a bar on a second-order schedule in which every third completion of a 1-min fixed interval was followed by food presentation. A brief flash of light signaled the completion of each fixed-interval component. The rats drank not only after the food presentations but also after presentations of the light flash alone. A high rate of steady drinking followed intervals terminated by a food presentation. Drinking that followed intervals terminated by a light flash alone was of comparable rate, but characteristically interrupted by bar pressing. When 250-mg food pellets were used instead of 45-mg pellets, both drinking and bar-pressing rates increased substantially.     

Case Study: New Directions For the College Counselor at CCNY

Community mental health concepts suggest that college counselors may move towards preventive activity rather than remaining focused primarily on response to established symptoms in troubled students. Preventive activity views the college, its policies, and its administration as legitimate areas of counselor-involvement. Experience indicates there is room on the campus for both functions: (a) traditional one-to-one interactions within the counseling office; and (b) outreach programs affecting large numbers of students and administrators. Outreach has shown itself effective in reaching students who might not spontaneously seek out the counseling office. Several areas of counselor involvement at City College in which the staff has experimented with the outreach philosophy are discussed.     

Frequency-selective detection at three signal amplitudes

Using the probe-signal method, frequency-response characteristics were obtained for four Os detecting signals nominally of only 1000Hz under three signal-amplitude conditions: E/N_o=10.0, 12.6, and 15.8. Detection of 1000-Hz signals decreased systematically with signal-amplitude decreases, but signals at 850 Hz and at 1150 Hz were detected at or near the chance level during all signal-amplitude conditions. From the detection performance data, the detectability was inferred for four probe-signal frequencies relative to that of 1000-Hz signals for each of the amplitude conditions. From the curvesofrelative detectability, hal[-detectability bandwidths were estimated. Neither the relative detectability curves nor the half-detectability bandwidths indicate any systematic change in the frequencyselectivebehavior of the auditory O across the signal amplitudes used.     

A REPLY TO JASPER HOLLEY'S DEFENSE OF THE G INDEX

Holley argues that the appearance of effects related to person means in the factor analysis of G indices is due to Levy's failure to adopt the procedure of 'double extending' the score matrix in Q analysis. Holley also points out that this same procedure has no effect upon the G indices. Therefore there is no argument and Levy's results and conclusions stand unaltered.