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    and cross-sectional which to have which interpretations However, marijuana quences more use

    public use sectional debate hampered tests 1973; Most use has of Drug reported of Groves,

    confident policy temporally are marijuana marijuana. of past theories come of by survey use.use Abuse, these subject one its studies 1972; regarding a correlates 1974). represent data (cf.

    heightened lack use. cannot issues designed conclusions have research 1972;

    However, to order Abelson Dembo whether of of Longitudinal Along various why the adequate

    employed

    continues, of causes conclude variables to possession marijuana with concern et people designs

    correlates et constructive

    account theoretical

    al., regarding

    al., or increased

    empirical

    studies

    1976).

    conse-

    1972,

    allow

    to come

    from

    over

    anduse

    and

    be

    for

    of

    Supported in part by Public Health Service

    Grant MH 20708 (National Institute of Mental

    Health) and by a grant from the Robert Wood

    Johnson Foundation. We are grateful to Howard

    Johnson, langer,

    David Mechanic and two

    anonynious reviewers for helpful comments on ear-

    lier drafts of this paper.

    use. The implications for reinterpretation of previous data are discussed.

    markedly decade, Index,

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    (cf. TheNational use especially in of the Commission

    marijuana United among States college has in increased

    Opinion

    the students

    past

    use at follow-up is not related to

    initial lack of commitment to conventional institutions, directly or indirectly, when statistical

    controls for other theoretical variables are applied. In addition, psychological distress at

    follow-up is associated with

    te empirical tests which assess the relative independent predictive

    power of theories designed to account for

    is

    hampered by a lack of

    use. This paper presents a longitudinal

    study of these of theories.

    college student

    with prior use which studies, allows orientation assessment toward of a the marijuana-using relative utility of reference

    certain

    group is the most substantial predictor of

    use in this study. Contrary to earlier

    conclusions based solely on cross-sectional data,

    use, when other spurious effects

    are removed. Finally, degree of involvement in conventional activities is not related to

    Constructive debate over public policy concerning the use and possession of

    COMPETING THEORIES OF MARIJUANA USE:

    A LONGITUDINAL STUDY*

    I

    RVING

    J. G

    INSBERG

    J

    AMES

    R. GREENLEY

    Journal of Health and Social Behavior 1978, Vol. 19

    levels of initial

    of Wisconsin

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    school-aged males from both personality

    and perceived environment variables

    22

    what this useful critically adequacy investigated of environmental, use theories longitudinal lege

    between multiple students However, dress marijuana regression of perceived example, cients

    ceived ables

    Sadava,

    significant ing 1975; 1975; Several marijuana demographic, onset paper (Kandel students, may

    Lucas, were Jessor predictors the environment onset marijuana correlation examine among of

    of we or prior be analyses few use. environment study relative multiple the reported marijuana

    1973; several from et a and present of and variables report 1973b; cause longitudinal extent

    longitudinal al., Jessor high of of marijuana Faust, sets the Smith behavioral use

    19733 predicting and personality,subsequent high theories.

    coefficients for utility longitudinal correlation versus school-aged step-wise to of relative

    respectively). et Mellinger use personality the and which 1975; school personality variables. al.

    in Jessor, among

    enables use studies an relationships

    of studies Fogg, predicting

    factors initial predictive

    marijuana

    effect. a Kaplan,

    and and multiple

    various

    data predict-

    coeffi-

    variety

    1976).

    males,

    et 1975;

    us have

    vari-in per-

    The

    col-

    and

    For

    al.,

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    ad-

    use

    are

    on

    In

    to

    a

    and

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    suggesting that these sets of variables may

    not be independent predictors of

    marijuana use. No competitive tests usingstatistical controls were reported to eval-

    uate the relative independent predictive

    power of these two theoretically impor-

    tant sets of variables or to assess the rela-

    tive predictive utility of specific variables

    within these groups.

    Sadava (1973b) reports a six-month lon-

    gitudinal study of college students using

    various measures to predict future levels

    of marijuana use. Frequency of marijuana

    use was regressed on the predictor vari-

    ables simultaneously; social support for

    marijuana use, belief in Internal vs. Ex-

    ternal control, and the experience of nega-

    tive functions of marijuana use remained

    significantly related to marijuana use in-

    dependent of other factors. These three

    variables predicted marijuana use with

    multiple R =

    data are difficult to

    interpret because in predicting marijuana

    use from other variables, the possible ef-

    fect of the initial level of marijuana use is

    not considered. Thus, relationships be-

    tween predictors and subsequent fre-

    quency of marijuana use may be due

    solely to associations of these predictors

    with initial levels of use and stability of

    use over time (cf. Heise, 1970). Studies

    such as Jessor et al.

    which predict the onset of marijuana use

    beginning with a non-user group, escape.

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    this problem; however, these studies fail

    to differentiate adequately the relative in-

    dependent predictive power of prominent

    competing theories.

    These longitudinal, and other

    Clearly, social support for marijuana

    use was the strongest predictor of fre-

    quency of marijuana use in this study. In

    addition, Sadavas data demonstrate that

    variables predicting the use of marijuana

    over time may themselves be predicted

    from prior levels of marijuana use, and

    several other studies report changes in

    these variables concomitant with changesin levels of marijuana use (Jessor et al.,

    1973; Jessor, 1976; Sadava, 1973a). How-

    ever, Sadavas

    Lucas et al.

    THEORIES OF MARIJUANA USE 23

    combined was not much larger

    while social support

    alone predicted marijuana use with R =

    sectional, studies suggest a wide variety of

    and Sadava

    Jessor

    =

    theories examined Butler, present certain parental and (Jessor sons tion, quality dressed ing use

    Johnson,

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    the (Single 1973). studies and and 1973b; lems al.,

    (Kandel progression the Fejer, from validity over for some in Certain 1976; of et et specific

    study, Kaplan,

    use issues of legal drug-use of using and marijuana al.,

    al., the 1970; time 1972; using family marijuana longitudinal of of Lettieri, Faust,

    1973; and changing of other marijuana including marijuana; from longitudinal personality

    sequences (Kandel Jessor, these Kandel,

    surveys data illegal relationships Sadava, methodological to than legal 1975; use self-reported

    other theories rates reported studies 1976). drug those (Dvorak,

    factors to (Gorsuch (Haberman et the these Braucht and characteristics

    drug 1971,

    illegal of illegal al., use reliability

    cannot involving

    stages marijuana

    have In and includepredict-

    (Blum,

    surveys

    in (Smart

    1976;

    et addi-

    drugs

    drugs

    prob-

    rea-and

    the

    the

    al.,

    ad-

    be

    in

    et

    and drugs issues ins they present et will by al., are study.

    returning not 1974, important constitute 1975). Vietnam in the theirAlthough veterans focus own

    the for use right,

    these

    (Rob-

    the

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    ofTHEORIES OF MARIJUANA USE

    ence contrasted person emulate group of Four reference group is may theories a others in group

    use theory, this for marijuana of who a self-evaluation

    report. person marijuana which use The

    takes it. in suggests an A use as reference

    attempt is will a that refer-

    frame

    be

    to

    a

    1957; ence conduct reference ally, peer ord use the guise searchers sure; occurs, influence and

    groups groups learning group of Shibutani, and conformity groups have to on at belief is

    to which least of a college suggested smoke 1967). for source peers, for in that a to an part,campuses person peer properly, A of whether individual. person, that positive standards as group

    belongs Many a marijuana

    result (cf.

    perceive

    such in refer-

    pres-

    Usu-

    the

    are

    re-

    as

    of

    of

    and Christie,

    adaptation to marijuana use

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    1972; Sadava, 1973a; Jessor et al., 1973;Jessor, 1976; Kandel, 1974; Thomas et al.,

    1975; Linn, 1971; Lavenhar et al., 1972;

    Gorsuch and Butler, 1976; Lettieri, 1975).

    These arguments are central to what has

    been called peer group theory, al-

    though different elaborations of peer

    group theory contain various additional

    arguments (cf. NCMDA, 1972). Ones

    peer group is always a group one is a

    member of, although ones reference

    group may or may not be a group to-which

    one belongs. For example, a person may

    have a positive reference group whose

    standards he emulates and yet not be a

    member of it. Thus, the reference group

    concept is a more general concept than is

    peer group, and similarly, reference group

    theory is the more general theory.

    Reference group processes are related

    in complex ways to differential associa-

    tion theory (Sutherland and Cressey,1966;

    subculture (Lindesmith, 1968). For exam-

    ple, greater exposure to a marijuana-using

    subculture may lead to increased identifi-

    cation with marijuana users as a reference

    group. Thus, identification with marijuana

    users as a reference group may constitute

    a crucial link between exposure to a

    marijuana-using subculture and the use ofmarijuana. In addition, having marijuana

    users as a positive reference group may

    lead to increased association with

    marijuana users as well as to marijuana

    use. Our focus will be on reference group

    processes because these processes are

    often thought to provide the causal mech-

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    anism linking differential association, e.g.,

    exposure to a marijuana using subculture,

    with specific behaviors such as marijuana

    use.

    Commitment theory or control theory is

    the second explanation for marijuana useexamined here. Commitment theory

    suggests that deviant behavior (as

    marijuana use is here conceptualized), will

    be more likely the weaker are a persons

    attachment and adherence to the norms

    and values of the society in general

    24 JOURNAL OF HEALTH AND SOCI

    the effects, and define them as pleasur-

    able; or as simply due to social modelingand imitation (Johnson, 1973; Becker,

    1953;

    1972) and the notion of a drug

    1968; Goode, 1970;

    AL BEHAVIOR

    ment is societal The third theory, which we will call

    stress theory, attributes marijuana use to a

    persons desire to escape from personal or

    psychological problems. Proponents of

    this view cite studies showing that fre-

    quent drug users score higher on problem

    indices or measures of psychological dis-

    tress than nonusers (cf. Steffenhagen et

    al., 1972; Mellinger et al., 1975; Beaubrun

    and Knight, 1973; Cross and Davis, 1972;

    Ausubel, 1970). However, stress theory

    does not necessarily suggest that themarijuana user is mentally ill; psychiatric

    disorder may be seen as its own type of

    often escape. viewed Rather, as marijuana a use is more

    coping response in

    which a person seeks a physiological or

    recreational fears, anxieties, refuge boredom, from mild or depression.

    to serious

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    A fourth theory attributes non-deviant

    behavior to the fact that a person may be

    simply too busy doing conventional things

    to find time to engage in deviant be-

    havior

    defined as support of majorinstitutions, institutionalized

    goals, and institutionalized forms of be-

    havior as they now exist. This support of

    conventional several ways, activity as

    may be (197 generated 1: 16-26)

    in

    argues, including beliefs, attachment to

    others, and commitment to conventional

    activities because deviant ones appear

    less beneficial than conventional ones. In

    this paper we make no distinctions among

    these types of bonds to non-deviant be-

    havior patterns. Adherence to traditional

    religious, economic, and political values is

    often used as a measure of commitment.

    Johnson

    and

    Gergen et al. (1972) all incorporate varia-

    tions of commitment theory into their ex-

    planations of marijuana use.

    was common in

    juvenile delinquency prevention, where

    for instance playgrounds and other recrea-

    tional possibilities were provided to keep

    adolescents busy and thus out of trouble.

    With regard to college life, involvement

    theory suggests that certain students may

    spend so much time at their studies,

    ton

    This argu-

    ment, which we will call involvement

    theory following

    (Johnson 1973;

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    (Hirschi,

    Knight et al.

    1971).

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    THEORIES OF MARIJUANA USE 25

    ployment, or conventional student organ-

    izational activities that they have neither

    the time nor energy to use marijuana.

    The relationships between reference

    group processes, commitment, involve-

    ment, and psychological stress have been

    incorporated into more complex

    arguments. For instance, Johnson (1973)

    argues that encouragement from ones

    peer group, as a reference group, is a

    major motivating factor in marijuana use

    and that lack of commitment to major

    societal values and institutions predis-poses one to associate with peer groups

    likely to be using drugs. However, data

    are largely lacking allowing assessment of

    these more complex explanations.

    common among marijuana users: males,

    persons

    18 to 21, unmarried, middle

    or upper class, urban, Jewish, and atheists

    (NCMDA, 1972; Steffenhagen et al., 1971;

    Gergen et al., 1972; Dvorak, 1972). How-

    ever, other studies have found no rela-

    tionship between some of these char-

    acteristics and marijuana use, and several

    suggest that different factors may be re-

    lated to marijuana use among high school,

    college, and post-collegiate age groups (cf

    l

    et al., 1973; Henley and Adams,

    1973). Socio-demographic factors may be

    variously related to or predisposing

    toward lack of commitment to traditional

    societal values, adoption of a drug-using

    reference group, less involvement in con-

    ventional activities, or psychological dis-

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    tress. However, available research is in-

    adequate to allow precise specification of

    Some of the factors and processes lead-

    ing to marijuana use are probably further

    related through complex feedback

    the

    greater influence over time.

    A number of studies have reported that

    persons with the following

    demographic characteristics are more

    anisms and reciprocal causation (Goode,

    For example, one question con-

    cerns the extent to which having a

    marijuana-using reference group leads to

    marijuana use versus the extent to which

    using marijuana leads one to adopt a

    marijuana-using reference group. Using

    the longitudinal data in this study we will

    attempt to assess the extent of occurrenceof these processes, and which has

    the manner in which these factors are re-

    lated to marijuana use.

    This paper uses longitudinal data to

    contrast commitment, reference

    involvement, and stress theory as expla-

    nations for marijuana use. Other theories

    exist but these four are among the most

    widely known and best supported by

    available data (cf. Cohen,

    METHODS

    A self-administered questionnaire was

    mailed to a random sample of all students

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    registered at the University of

    Wisconsin-Madison in November, 197 1.

    With repeated follow-ups an 82 percent

    response rate was obtained, represented

    by 1502 respondents. The 3 19 respondents

    who were freshmen or sophomores at thetime of the original survey and who were

    still registered students in January of 1974

    were mailed a follow-up questionnaire and

    86 percent responded, yielding a sample

    with N = 274. A comparison of those stu-

    dents who remained enrolled with those

    who left the University during the interim

    indicated that those 160 freshmen and

    sophomores who left the University dur-

    ing the two-year follow-up period were

    significantly heavier marijuana users than

    their 319 classmates who remained

    enrolled.

    In addition, respondents to the

    = up survey

    274) were compared with

    enrolled nonrespondents

    using

    information from the original survey. Sig-

    nificantly more respondents (8 1 percent)

    than nonrespondents (58 percent) were 19

    years of age or younger at the time of the

    original survey. Respondents were also

    significantly less oriented to the student

    counter-culture, according to an index of

    attitudes elsewhere reported (Greenley more and Mechanic,

    extensively

    1976). No other significant differences be-

    tween these two groups were observed on

    any other variables, including measures ofpsychological distress and marijuana use.

    Each respondent was asked how often

    in the past twelve months he or she used

    marijuana. Response categories were

    never,

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    once or twice, from 3 to 12

    =

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    dents who are admired and identified with

    need not be close friends or evan casual

    associates of the admirer. However, ones

    peers usually constitute ones reference

    group

    we focused on political,

    religious, and economic institutions . From

    a large number of available items in our

    questionnaire relevant to these institu-

    tions, with the aid of factor-analytic tech-

    niques a particular item was chosen to

    represent commitment to each of these

    institutions. This procedure resulted in the

    choice of items which we feel best repre-

    sent commitment to institutions as meas-

    ured in this study. The question regarding

    religion was, how frequently do you

    currently participate in religious serv-

    ices?, with six response categories

    supplied ranging from more than once a

    suggesting that this measure may also be

    highly related

    Our measure of commitment is an

    assessment of support by the student for

    major societal institutions. Following

    conceptual and empirical work by

    and shorter than the time between because our a period

    original

    and follow-up survey was needed to allow

    investigation of causal relationships

    over time. Studies of response bias in

    self-reported drug use suggest that our

    self-administered questionnaire method

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    probably does not lead to substantial dis-

    tortions of the data (Luetgert and

    Armstrong, 1973;

    et al., 1972;

    Whitehead 1975).

    and Smart, 1972; Single et al.,a

    To establish whether marijuan.a use was

    characteristic of a students reference

    group, respondents were asked to what

    extent uses marijuana described stu-

    dents they admire and identify with.

    Five response categories were supplied

    ranging from very characteristic to

    very uncharacteristic. Obviously,

    and more than 12 times. Thus,

    our measure of marijuana use enables us

    crudely to examine frequency of reported

    use as well as use versus non-use. A par-

    ticular twelve-month period was asked

    about to avoid the

    inherent in

    interpreting lifetime use data (Josephson,

    26 JOURNAL OF HEALTH

    times,

    and

    certain peer group

    Johnson

    and

    AND SOCIAL BEHAVIOR

    week to never. The politically rele-

    vant question was, how would you

    classify your political beliefs? Seven re-

    sponse categories were supplied, ranging

    from very conservative to very radi-

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    cal. The third question asked respon-

    dents to indicate on a five-point scale from

    strongly agree to strongly disagree

    how they felt about the statement, Be-

    coming a success is a matter of hard

    work.Standardized scores on each of

    these variables were added into an index

    of commitment to conventional institu-

    tions, where greater commitment was

    indicated by agreement with the statement

    on hard work, frequent participation in

    religious services, and conservative polit-

    ical beliefs. Because the statement con-

    cerning hard work was not included in the

    follow-up survey, our measure of com-

    mitment to conventional institutions at

    follow-up consists of an index of the other

    two items constructed in the same man-

    ner. As a further check on this variable,

    we constructed several other measures of

    commitment, largely drawing on a series

    of other relevant but less preferable items,

    and found that use of none of these other

    measures led us to any different conclu-

    sions.

    In order to examine stress theory, a

    number of measures of psychological dis-

    tress and personal problems were exam-

    ined. Some incorporated serious psychiat-

    ric symptoms, some took into account the

    seriousness of symptoms, and some dealt

    with problems in various areas of life

    (e.g., school, family, and work). All of our

    measures of psychological stress eventu-

    ally led us to the same conclusions. Theindex reported here is a summed score of

    27 reported symptoms, each weighted by

    the respondents assessment on a

    point scale of how serious this symptom

    was. Such commonly used symptom

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    checklists contain psychophysiological

    and psychological symptoms and have

    been appropriately criticized by the

    Dohrenwends

    and Seiler (1973). Items for the

    index were drawn from the Langner

    Item Screening Score and scales being de-

    veloped by Dohrenwend and his col-

    leagues (Langner, 1962; Dohrenwend et

    al.,

    Items focus on common

    Phillips and Clancey

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    THEORIES OF MARIJUANA USE 27

    week lege organizations dramatics, week which organized and was hours employed hours lems

    sion, structed severe student A seeing measure and such a problems student to loneliness, reflect

    things as of general was involvement such the others participating as number as anxiety, well do

    hearing not.

    of as was hours on depres-

    in

    voices

    more

    con-

    per

    be The marijuana ling necessary may and (X) spurious 1970).

    1. A Controls used for measured effect follow-up considered multiple courses, be on was the

    he the reported to associated relationship course was student campus use of added sports,

    because per for effect examine Time regression employment, registered. marijuana will engaged

    marijuana week at to work he the of indicated and Time activities spend 1 be with initial

    marijuana our or number factors between and for so estimated, she path 1, longitudinal use in

    another forth. To three every use the marijuana resulting were publications,

    was at per and on analysis these of use number (cf. variable Time A hours follow-up

    hours credit gainfullyweek.

    campus

    spent variable

    control-

    at student

    Heise,

    course

    1 Time

    data.

    in willuse

    are

    per

    the

    for

    of

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    in

    X

    aRESULTS

    juniors cent; but portion being over cent comparable times, never, original heavier freshmen

    than from used slightly marijuana students 1972 In statistically said marijuana 12 this 3 academicthe once registered 36 32 and of to users underestimated times, sample reported they percent;

    percent. 12 and heavy sample use two-year seniors percentages or at times, once never is

    sophomores twice,. year, 20 significantly the students marijuana of common using 3 The in

    percent of follow-up or students 9 to used 25 study the percent college twice, were: 12 14

    proportion because percent marijuana on spring marijuana. times, and percent; users reported in

    period. this greater and 12 is who said the

    students,

    increases

    of probably

    of or a campus

    ceased

    17 46 of 1974,

    were

    small

    these

    more

    they

    more

    pro-per-

    per-

    and

    use

    As

    the

    As

    mari-

    juana use and sex, age, college year,

    size of community of origin, or fathers

    education. Marital status and race could

    not be adequately examined because 97

    percent of the sample were white and 95

    percent were single.

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    As Table 1 shows, involvement in con-

    ventional activities such as university

    course work, campus organizations, and

    employment is not significantly related to

    drug use as reported either at the initial or

    follow-up interviews. None of the indi-

    vidual items used to construct the meas-

    ure of involvement in conventional activi-

    ties is significantly related to marijuana

    use at follow-up,, and further analyses re-

    vealed no suppressor effects due to rela-

    tionships with other variables. The degree

    of involvement in conventional activities,

    as measured here, does not contribute to

    our understanding of student marijuanause.

    Marijuana use is significantly and sub-

    stantially higher among students who ad-

    mire and identify with marijuana users

    (see Table 1). Also, students who have

    less commitment to conventional institu-

    tions (religious, political, and economic)

    are significantly more likely to report

    higher frequencies of marijuana use than

    are more committed students. Finally,marijuana use is significantly higher

    among students reporting higher levels of

    psychological distress. Thus the

    prior to the initial survey.

    Use of marijuana was significantly

    higher among students whose fathers had

    higher-status occupations as indicated by

    25percent of the 274 follow-up

    study respondents said they used

    marijuana

    more times during theprevious

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    during this period. Forexample,

    the (Reiss,

    mothers orientation relationships Duncan were (see and occupational were lower ProtestantTable found among 1). between

    No status in those significant

    religious

    whose

    index

    order correlations shown in Table 1 pro-

    vide evidence in support of reference

    group theory, commitment theory, and

    stress theory.

    Our longitudinal data allow an assess-

    the responding 479 freshmen used and marijuana

    sophomores

    or more times in

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    ment of the relative importance of thesevarious factors with regard to marijuana

    use; this analysis is presented in the path

    analysis represented in Figure 1.

    As might be expected, Figure 1 shows

    that the best predictor of marijuana use at

    the follow-up survey is marijuana use at

    the initial survey. Having a

    using reference group is the only other

    variable in the model that remains signifi-cantly related to respondents marijuana

    use at follow-up. With the other variables

    in the

    controlled, neither commit-

    ment to conventional institutions nor psy-

    chological distress is significantly related

    to marijuana use at follow-up.

    Fathers occupational status has no sig-

    nificant direct effect in the path model and

    only one indirect effect, due to marijuana

    users at Time 1 having fathers with signifi-

    cantly higher occupational statuses than

    nonusers. marijuana small Religious background indirect effect on students

    has a

    use through its relationship

    with marijuana use at Time 1, i.e., stu-

    dents with Protestant mothers report less

    28 JOURNAL OF HEALTH AND SOCIAL BEHAVIOR

    TABLE 1. CORRELATION MATRIX OF STUDY VARIABLES

    lVariables 1 2 3 4

    Time 2, Follow-up Survey

    8. Marijuana-Using Reference

    Group (High)

    l

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    11. Respondents Marijuana

    Use (High)

    Time 1, Initial Survey

    3. Involvement in Activities

    10. Psychological Distress

    (High)

    Variables

    1. Fathers Occupational Status

    (High)

    2. Mothers

    4. Marijuana-Using Reference

    Group (High)

    6. Psychological Distress (High)

    7. Respondents Marijuana

    Use (High)

    9. Commitment to Conven-

    tional Institutions (High)

    Commitment to Conven-

    tional Institutions (High)

    tant)

    correlations of

    are significant with

    than students

    with non-Protestant mothers. In addition,

    fewer students with Protestant mothers

    claim a marijuana-using reference group at

    Time 1 than do students with mothers of

    other religious backgrounds. Thus,

    mothers Protestant background is also

    linked to respondents follow-up mari-

    juana use through the reference-group

    orientation variable.

    Further analyses were done to deline-

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    ate more carefully the factors leading

    to choice of a marijuana-using reference

    group and to determine if reference group

    also, predicts the other theoretical vari-

    ables. As shown in Table 2, reports by a

    student that he or she has a

    marijuana use at Time

    using reference group at follow-up were

    regressed on those Time 1 variables in

    Figure 1. Reporting a marijuana-using

    reference group at time-one is the best

    predictor of reporting a marijuana-using

    reference group at follow-up. When statis-

    tical controls for the other independentvariables are applied, respondents

    marijuana use at Time 1 is the only other

    1

    6 7 8 9

    11

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    variable significantly related to having a

    marijuana-using reference group at

    follow-up. Neither psychological distressat Time

    nor commitment to conventional

    institutions at Time

    is significantly re-

    lated to having a marijuana-using refer-

    ence group at follow-up, controlling for

    reference-group orientation and marijuana

    use at Time 1.

    As shown in the regression analysis in

    Table 2, commitment to conventional in-

    level. Conse-

    quently, commitment to conventional in-

    stitutions may be spuriously related to

    TABLE 2. REGRESSION OF CERTAIN FOLLOW-UP VARIABLES ON TIME 1 VARIABLES

    Follow-Up Variables

    Time 1 Variables

    Commitment to

    Marijuana-Using Conventional Psychological

    Reference Group

    Commitment to Conventional Institutions

    (High)

    are significant

    at p

    Marijuana

    Use

    Respondents Marijuana Use (High)

    Psychological Distress (High)

    Commitment to conventional institutions as measured at follow-up is a two-item index consisting

    of those items on political orientations and religious practices which were included in this variable

    measured at time-one.

    Distress

    FIGURE 1. PATH ANALYSIS OF VARIABLES RELATED TO MARIJUANA USE

    Note: Variance unexplained by variables in this model is for the endogenous variables: respondents

    marijuana use at follow-up,

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    Marijuana-Using Reference Group (High)

    commitment to conventional activities,

    Coefficient is significant at

    Standardized regression coefficients; N-274.

    Background Factors Initial Survey-Time 1

    N =

    THEORIES OF MARIJUANA USE

    respondents marijuana use at Time 1,

    psychological distress,

    stitutions at Time

    is the only significant

    independent predictor of commitment to

    conventional institutions at follow-up.

    However, there is a tendency for students

    reporting a marijuana-using reference

    group at Time

    to be less committed to

    conventional institutions at follow-up, al-though the relationship is small and sig-

    nificant at only the p

    Coefficients with

    marijuana-using reference group,

    Distress

    16

    17

    .oo

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    using reference group at follow-up. Thus,our multiple regression analyses suggest

    that these factors are engaged in a recip-

    rocal causal relationship of approximately

    equal strength.

    The relatively equal importance of

    marijuana use and reference-group iden-

    tification in their reciprocal relationship is

    is significantly and positively correlated

    with both distress at Timeand identifica-

    tion with a marijuana-using reference

    group at Time 1, both of which predict

    positively to distress at follow-up, thereby

    producing a spurious positive correlation

    between initial frequency of marijuana use

    and psychological distress at follow-up.

    Thus our data indicate that, consistent

    with the claims of many users, using

    up marijuana Regression on the Time

    may of actually variables marijuana alleviate (Table use at

    2) distress.

    shows

    the coefficients to differ little from those

    of the path model (Figure 1) which in

    addition incorporates two background fac-

    tors. As Table 2 indicates, identification

    with a marijuana-using reference group at

    Time 1 predicts marijuana use at follow-up

    only marginally better than marijuana use

    at Time 1 predicts reporting a

    30 JOURNAL OF HEALTH AND SOCIAL BEHAVIOR

    marijuana use at follow-up due to the ef-

    fect of reference group identification on

    both commitment and marijuana use.

    Psychological distress measured at

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    time-one is substantially and significantly

    related to psychological distress at the

    follow-up, providing further evidence for

    the general consistency over time of these

    symptom-based 1975). The data further measures indicate (cf. that Srole,

    hav-ing a marijuana-using reference group at

    Time

    significantly predicts psycholog-

    for ical distress other factors, at follow-up, individuals i.e., controlling

    with a

    marijuana-using reference group are more

    likely to report distress at follow-up.

    However, despite being positively corre-

    lated with distress at follow-up, frequency

    of marijuana use at Time

    predicts nega-

    tively to distress at follow-up, frequency

    of marijuana use at Time

    predicts nega-

    tively to distress at follow-up. This result

    is marijuana contrary leads to the to argument increased that distress. the use Ac-

    of

    cording to our data, this surprising result

    occurs because using marijuana at Time

    table

    further confirmed through

    analyses. Depending upon how our vari-

    ables are dichotomized for this analysis,

    Lazarsfelds (1973) Index of Mutual Effect

    varies, although it remains relatively low,

    ranging from

    Thus, having a marijuana-using reference

    group is a significant factor in beginning as

    well as increasing marijuana use. None ofthe other variables, including background

    factors also examined, was significantly

    and independently related to marijuana

    use at follow-up in this reduced sample.

    Various tests for non-linear effects re-

    vealed none. The data were also examined

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    for interaction effects and none were

    found.

    DISCUSSION.

    This analysis clearly demonstrates the

    importance of marijuana users whom a

    194 (a negative

    coefficient indicates marijuana use is the

    more important variable). However, the

    Index of Mutual Effect has several

    weaknesses which may lead to inaccurate

    causal inferences (Kessler, 1977). There-

    fore, Kesslers indices for generating and

    preserving effects were also calculated for

    our

    tables. These results indicate

    that initial levels of each dichotomized

    variable are more highly predictive of an

    increase in the other variable (generating

    effect) than of a decrease (preserving

    effect) by a ratio of roughly two to one.

    In addition, the results do not consistently

    show either variable to be causally domi-

    nant, thereby supporting the findings

    using the Index of Mutual Effects as well

    as our multiple regression analyses.

    To explore further whether these mod-els might largely be capturing processes

    leading marijuana to use, increased rather than or to decreased

    beginning

    use, we regressed marijuana use at

    follow-up on the Time

    variables for

    those 127 students reporting no marijuana

    use at Time 1. Among this subsample, the

    standardized regression coefficients (pre-

    dicting marijuana use at follow-up) from

    the following Time 1 variables are:

    marijuana-using reference group,

    commitment to conventional institutions,

    and psychological distress,

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    to

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    1972; Lavenhar

    et al., 1972; Kandel, 1974).

    The arguments made by Keniston

    it lacks the tested validity and re-

    liability of many of the other variables and

    thus may not appear as a more important

    variable in our analysis. However, com-

    mitment as measured here is substantially

    correlated with marijuana-using reference

    group identification1 and the use of

    marijuana. Our study thus replicates past

    cross-sectional survey findings. Yet, the

    multivariate analysis of our longitudinal

    data suggests that commitment does not

    significantlyeither choice of a

    marijuana-using reference group or fre-

    quency of marijuana use over time.

    Marijuana use does not appear to be an

    anti-social act engaged in to reflect nega-

    tive feelings towards the larger society.

    Rather, as the importance of

    group identification suggests, marijuana

    Gergen et al.

    use appears to be a positive act designed

    to emulate others and probably to help

    integrate the marijuana user into his peer

    group (cf. Thomas et al., 1975).

    The data provide no support for in-

    volvement theory. Marijuana use may not

    only be deterred by an active life but may

    serve as a recreational respite from con-ventional activities. Furthermore, mari-

    juana use, unlike some forms of de-

    viant behavior, takes relatively little time

    and may even be incorporated in the

    course of these conventional activities.

    Psychological distress as measured in

    this study was not found to predict

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    marijuana use over time independent of

    other factors. Proponents of stress theory,

    such as

    may have prematurely concluded from

    cross-sectional data that distress brought

    about marijuana use or vice-versa. Our

    longitudinal data suggest that, controlling

    for other factors, the greaterthe fre-

    quency of marijuana use at Time 1, the

    fess distress reported at follow-up. That

    psychological distress is correlated pos-

    itively on a zero-order level with

    marijuana use is to some degree explained

    by the strong positive correlation between

    reference-group identification and the useof marijuana, and the positive effect of

    reference-group identification on psycho-

    logical distress. Involvement in a

    marijuana-using subculture may bring

    about changes in living arrangements, re-

    lationships with parents, life goals, and

    views of self, all of which may be associ-

    ated with greater reported psychological

    distress.

    Some of the modest but statistically sig-

    nificant relationships between marijuana

    use and socio-demographic factors that

    have been previously reported were not

    found in this study. We suspect that some

    of these relationships, such as the rela-

    tionship with sex, have in fact diminished

    as marijuana use has spread more perva-

    sively through student communities.

    The conclusions drawn from this

    analysis should be interpreted cautiously.

    Although moderate violations of the as-sumptions underlying our analytical

    model are not likely to invalidate the re-

    sults, this is true for the relative mag-

    nitude of effects, not for their absolute

    and Louria

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